Data analyst jobs in San Diego, CA - 447 jobs

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 2+ years of experience with statistical and general-purpose programming languages for data analysis Experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses and visualization of targeted data sources Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing Knowledge of text mining or machine learning techniques Ability to obtain a Secret clearance Bachelor's degree Nice If You Have 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL 2+ years of experience with Machine Learning, AI or NLP Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik TS/SCI clearance with a polygraph Bachelor's degree in Computer Science, Data Science, Computer Engineering, Systems Engineering, or a related field preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, or a related field a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Work type: Instructional Faculty - Temporary/Lecturer Categories: Unit 3 - CFA - California Faculty Association, Temporary, Part Time, Faculty - Business/Management Position: Lecturer - Academic Year Semester: Spring 2026 Day/Time: Mondays and Wednesdays, 10:30 a.m. - 12:20 p.m. Modality: In-person College: College of Business Administration Department: Management Required Qualifications A master's degree or higher in Business, Information Systems, Computer Science, Data Science, Analytics, Engineering, or a closely related field by the time of appointment, or a master's degree in another field combined with substantial professional experience in AI-enabled business applications. Demonstrated knowledge of generative AI concepts and tools (e.g., large language models, prompt engineering, AI-assisted decision making) and their application to business contexts. Professional or teaching experience explaining technical concepts to non-technical audiences, particularly managers or business leaders. Strong communication skills and demonstrated ability to engage diverse student populations. Commitment to inclusive, ethical, and responsible use of AI in organizational and societal contexts. Per the California State University's Out-of-State Employment Policy, the CSU is prohibited from hiring employees to perform CSU-related work outside California. Working in the State of California is a condition of employment. Preferred Qualifications A terminal degree (Ph.D., D.B.A., or equivalent) in a relevant field or extensive senior-level industry experience in AI, digital transformation, product management, analytics, or technology-enabled strategy. Direct experience using or implementing generative AI tools in business settings (e.g., strategy, marketing, operations, finance, consulting, entrepreneurship, or knowledge work). Prior teaching experience in areas such as AI for business, digital transformation, analytics, information systems, strategy, or innovation. Familiarity with AI governance, ethics, risk management, and regulatory considerations relevant to organizational leadership. Experience designing applied, practice-oriented coursework (e.g., case studies, simulations, labs, projects, or executive-style learning activities). Experience working with industry partners, executive education, or professionally oriented graduate programs (e.g., MBA). Demonstrated interest in staying current with rapidly evolving AI technologies and integrating emerging tools into pedagogy. Preference will be given to applicants who demonstrate intercultural competence and a commitment to serving a diverse campus community as it relates to teaching and, as applicable, service. Salary Anticipated Hiring Salary Range: $5,507 - $6,677 per full‑time month CSU Classification Salary Range Lecturer A - AY: $5,507 - $6,677 per full‑time month The anticipated hiring range is generally at or near the minimum of the appropriate range, commensurate with education and experience. Application To apply, please prepare to submit the following: Your completed faculty application Curriculum Vitae (uploaded) Contact information for three current references Letter of interest (uploaded) Timeline A review of applications will begin on January 5, 2026; however, the position will remain open until filled. CSUSM has been designated as a Hispanic Serving Institution (HSI) and was named one of the top 32 Colleges most friendly to junior faculty by the Collaborative on Academic Careers in Higher Education. Visit Faculty Opportunities for more information. California State University San Marcos is an Equal Opportunity Employer. We consider qualified applicants for employment without regard to age, physical or mental disability, gender or sex, genetic information, gender identity, gender expression, marital status, medical condition, nationality, race or ethnicity, religion or religious creed, sexual orientation, and veteran or military status. Per the California State University's Out-of-State Employment Policy, the CSU is prohibited from hiring employees to perform CSU-related work outside California. Working in the State of California is a condition of employment. The person holding this position is considered a mandated reporter under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. This position is subject to employment verification, education verification, reference checks and criminal record checks. An offer of appointment is contingent upon successful completion of a background check, including a criminal records check, and may be rescinded if the background check reveals disqualifying information and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current CSU employee who was conditionally offered the position. The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act or Clery Act Notification can be found at Clery Act Notification. Advertised: Jan 05 2026 Pacific Standard Time Applications close: May 31 2026 Pacific Daylight Time #J-18808-Ljbffr

Data Scientist, Mid page is loaded## Data Scientist, Midlocations: San Diego, CAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: April 9, 2026 (30+ days left to apply)job requisition id: R0231891Data Scientist, Mid**The Opportunity:**As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.Work with us as we use data science for good.Join us. The world can't wait.**You Have:*** 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining* 2+ years of experience with statistical and general-purpose programming languages for data analysis* Experience analyzing structured and unstructured data sources* Experience developing predictive data models, quantitative analyses and visualization of targeted data sources* Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing* Knowledge of text mining or machine learning techniques* Ability to obtain a Secret clearance* Bachelor's degree**Nice If You Have:*** 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL* 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL* 2+ years of experience with Machine Learning, AI or NLP* Experience with visualization packages, including Plotly, Seaborn, or ggplot2* Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik* TS/SCI clearance with a polygraph* Bachelor's degree in Computer Science, Data Science, Computer Engineering, Systems Engineering, or a related field preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, or a related field a plus**Clearance:** Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.**Identity Statement**As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.**Work Model** Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.* If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.* If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.**Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #J-18808-Ljbffr

Intuit is hiring a Principal Data Scientist to join our Intuit AI team. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role, you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life. Responsibilities Practices excellent leadership and communication skills to influence and lead teams and to evangelize data science across the organization. Leads team's work in one or more of: ML, NLP, Statistics, or Optimization, performs hands-on work in these domains. Weighs ROI considerations of general and tailored capabilities for projects in the team. Creates new capabilities that solve critical business problems. Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends. Influences business leaders to shape mission-critical projects. Creates a multi-year vision that connects product strategy with technology strategy. Drives architecture decisions, influences, and contributes to ML platform architecture and strategy. Leads team and partners to the successful delivery and integration of ML solutions. Conducts design reviews, holds teams to technical and operational rigor. Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community. Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is Bay Area California $219,500 - 297,000, Southern California $212,500 - 287,500. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Minimum Requirements: PhD / MS in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Solid knowledge of statistical techniques. 3+ years as either a lead in a data science role or in a management position in data science. Strong communication skills and proven experience as an influencer at the executive level. Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization. 6+ years of experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.). 6+ years of experience with a general-purpose programming language (e.g. Python, Scala, etc.). Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization. Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns. Proven track record of influencing business leaders to shape mission-critical projects. Proven track record of leading teams to successful delivery of ML solutions. Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel. #J-18808-Ljbffr

Intrinsic First, LLC Data Scientist II San Diego, CA·Full time Apply for Data Scientist II ***MUST reside in the greater SAN DIEGO Metropolitan Area*** We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. About Intrinsic First, LLC Intrinsic First was founded on the academic theories associated with intrinsic motivation; everything starts from within. Intrinsic motivation generates vitality and is formed through choice (autonomy), competency (growth), and community (purpose and interaction). Our mission is to make the world a better place to work through leadership development, transparent communication, and positive interactions. We believe in trust, transparency, equity, balance, proactivity, growth, and fun. With a focus on exceptional people and exceptional operations, Intrinsic First creates a sustainable and positive culture. Description Collect, process, and analyze large structured and unstructured datasets from multiple sources. Develop, test, and deploy machine learning models to solve business problems and optimize operations. Design and implement statistical models, data pipelines, and predictive analytics solutions. Communicate findings and insights clearly through visualizations, dashboards, and reports. Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation. Stay current with emerging data science methodologies, tools, and industry best practices. Ensure compliance with data governance, privacy, and security standards. Reside within a reasonable commuting distance of the designated worksite or client facility to support periodic on-site meetings, reviews, and inspections in accordance with contract and security requirements. Participate in both on-site and virtual work as needed; while hybrid or telework arrangements may be approved, regular in-person presence is required to fulfill client, program, and compliance obligations. Ensure availability for site visits and coordination activities that support contractual commitments and operational needs. Education & Certifications Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or Bachelor's degree with additional 2 yrs relevant experience). Experience and Qualifications 2-4+ years of hands-on, applied experience in data science, machine learning, or analytics. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Experience developing, tuning, and deploying models using frameworks such as Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) strongly preferred. Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred. Knowledge, Skills, and Abilities Strong analytical thinker with the ability to translate data insights into actionable business solutions. Demonstrated ability to own projects from concept to deployment, balancing autonomy with collaboration. Detail-oriented and proactive, with a passion for learning emerging data tools and methods. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Strong knowledge of SQL and experience with both relational and non-relational databases. Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn). Demonstrated ability to bridge advanced research and applied data science solutions preferred. Ability to obtain a DOD Secret clearance. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. #J-18808-Ljbffr

Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You'll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions. This is a mission-critical role requiring a strategic thought partner who brings cutting‑edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross‑functional leaders-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform. This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision. Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models-including ensemble methods, time‑series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high‑impact growth opportunities and drive personalization. Experimentation Science & Design: Own the end‑to‑end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi‑armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification. Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact Attribution: Define and evolve success metrics using state‑of‑the‑art measurement frameworks, ensuring that business KPIs are both predictive and causally informative. Communication: Deliver compelling, data‑driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact. ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience. Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor. Strategic Influence: Demonstrate extreme ownership across cross‑functional initiatives, influencing product vision and delivering measurable impact through analytics innovation. Qualifications Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 10+ years of progressive experience in applied data science roles with increasing scope and complexity. Proven experience applying state‑of‑the‑art machine learning and causal inference methodologies in high‑impact, product‑facing applications. Expert‑level proficiency in SQL as well as Python or R. Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI‑assisted UX. Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment. Deep knowledge of experimental design, including non‑standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands‑on experience with data visualization tools like Tableau or Qlik. Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance. Proven leadership in mentoring technical talent and driving cross‑team alignment through data science innovation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California: $231,000-312,500 #J-18808-Ljbffr

A defense contracting company in San Diego is seeking a Mid-Level Data Scientist to support the US Navy on a key project. Responsibilities include system administration for Naval Ship Tracking, software engineering for data analysis tool development, and database management. Ideal candidates have significant Navy network experience, Python expertise, and require a DoD Secret clearance. The position offers a competitive salary range of $63,750 - $89,250 and various benefits including medical and 401(k). #J-18808-Ljbffr

SEA 21, NAVSEA's Director of Surface Ship Maintenance, Modernization, and Sustainment is seeking professional support services (PSS) to support the Government's existing organization, personnel, knowledge, and processes. SEA 21 integrates sustainment and maintenance strategies, modernization plans, training needs, and technical, logistics, and programmatic efforts to best manage the lifecycle of U.S. and partner Navy surface ships and systems from fleet introduction through transfer or disposal. SEA 21 is the dedicated life cycle management organization for the Navy's in-service surface ships and is responsible for managing critical modernization, maintenance, training, and inactivation programs. SEA 21 provides wholeness to the fleet by serving as the primary technical interface, ensuring surface ships are modernized with the latest technologies and remain mission relevant throughout each ship's service life. The organization also maintains inactive ships for future disposal, donation, or transfer, to include follow-on technical support to our partner navies. The salary for this position is $74,500-$77,300. Duties include Collect, review, and analyze information in order to make recommendations to the Government. Define the nature and extent of problems. Analyze relevant data, which may include annual revenues, employment, cost performance, schedule or expenditures. Interview managers and employees while observing their operations. Develop solutions to problems. In the course of preparing recommendations, understand the nature of the organization, the relationship it has with others in the Government, and its internal organization and culture. Prepare and solve mathematical models. Report findings and recommendations to the Government. Reports are usually submitted in writing, but oral presentations regarding findings also are common. For some projects, management analysts are retained to help implement the suggestions they have made. Required Skills and Experiences Required: Minimum of 5 years professional experience related to labor category Preferred: 7 years professional experience related to labor category Experience supporting a DoD component. Degree Requirements Required: Minimum of 5 years professional experience related to labor category Preferred: Bachelor's degree in any field. Must be a U.S. citizen A secret security clearance. #J-18808-Ljbffr

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

About the Role We are seeking a highly analytical Data Product Analyst to help evaluate, improve, and evolve data products. This role sits at the intersection of data analysis, product thinking, and user-facing data systems. We are a small, fast-moving startup, and this role offers a rare opportunity to get in early and have a meaningful impact on our product. You will work closely with a small team, take ownership of key areas, and help shape processes, standards, and resources from the ground up. Our vision is a world where access to data is no longer a constraint on research. Achieving this requires data is understandable, usable, and trusted. In this role, you will work closely with internal data teams, users, and external data providers to ensure datasets are reliable, well-documented, and aligned with real-world use cases. User questions and feedback will serve as a key signal to help you identify gaps in data quality, documentation, or tooling and translate those insights into concrete product improvements. This role is ideal for someone who enjoys digging into complex datasets, and improving how data products are designed, documented, and delivered. Key Responsibilities Data Product Evaluation & Improvement Evaluate datasets for structure, quality, completeness, and usability from a user perspective. Identify recurring friction points or sources of confusion and translate them into actionable improvements. Partner with internal teams to influence dataset standards, documentation practices, and release readiness. Contribute to best practices for dataset onboarding, versioning, and lifecycle management. Data Analysis & Validation Use SQL, Python, and R to explore, validate, and diagnose issues in datasets. Identify inconsistencies, edge cases, or limitations and surface clear, actionable recommendations. Perform reproducible analyses to validate assumptions and resolve open questions. User Feedback & Signal Gathering Engage with user questions and feedback as an input into data product performance. Investigate issues independently through documentation, metadata, and exploratory analysis. Escalate well-framed, high-impact findings to internal stakeholders or external providers when necessary. Documentation & Resource Development Create and maintain high-quality resources such as codebooks, data dictionaries, tutorials, examples, and usage guides. Improve clarity around dataset assumptions, limitations, and appropriate use cases. Develop scalable documentation patterns that reduce future ambiguity and support self-service usage. Domain Insight & Contextual Understanding Develop an understanding of how different user groups interact with data products and adapt resources accordingly. Monitor usage patterns and feedback to propose forward-looking improvements. Provider & Partner Collaboration Communicate with external data providers to resolve issues that cannot be addressed through internal analysis. Track open questions and resolutions to inform future data product enhancements. Advocate for user needs with clear, professional, and evidence-backed communication. Qualifications Experience working with large or complex datasets in analytics, data product, research, or engineering-adjacent roles. Strong proficiency in SQL, Python, and R for exploratory, validation, or diagnostic analysis. Strong written and verbal communication skills, especially in explaining complex data topics clearly. Strong organizational skills and attention to detail; ability to manage multiple datasets and workstreams simultaneously. Nice to Have Experience working with academic or research-oriented users. Familiarity with literature review practices or research workflows. Experience creating or maintaining structured documentation for data products or technical tools. Exposure to regulated or methodologically complex domains (e.g., economics, finance, public policy). What We're Looking For A product-minded analyst who views questions and issues as opportunities to improve systems. A strong investigator who can move fluidly between documentation and raw data. A clear communicator who can translate technical findings into user-facing insights. An owner who wants to help shape how data products mature over time.

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities. The Marlin Alliance is seeking a forward-thinking Data Engineer/Data Architect in San Diego, CAto provide client support to our Navy client. This is an on-site role and applicants must have the ability to obtain a DoD Secret Clearance. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. This role is on-site in San Diego, CA Responsibilities: Define and implement a next-generation data architecture for the CDF to ensure long-term scalability. Create and manage robust and reliable data pipelines from diverse data sources (e.g., structured, semi-structured, and unstructured) aligning with data governance policies, security standards and industry best practice. Develop and implement data standards, procedures, and definitions for data governance as required aligning with higher headquarters policies when applicable. Evaluate and recommend appropriate technologies and tools. Ensure data curation processes maintain accuracy and integrity through a quality assurance process. Work closely with data analysts and data scientists to ensure data solutions are accessible and reliable. Design and implement effective data storage solutions using appropriate technologies (e.g., cloud, on-premise). Contribute to the documentation of data architecture, data pipelines, data catalog, and ETL capabilities. Required Skills and Experience: 15+ years of experience Proven experience in building and managing data pipelines, data storage, and associated infrastructure. Proficiency in SQL and at least one programing language (e.g., Python, Java, etc.) for data processing and automation. Experience in data visualization tools and techniques. Understanding of data warehousing solutions and ETL (Extract, Transform, Load) frameworks. Experience with cloud platforms (e.g., AWS, Azure) and their data services. Experience with data governance frameworks and tools, as well as data security. Excellent communication and collaboration skills with the ability to work with both technical and non-technical stakeholders. Strong problem-solving skills with a proactive approach to resolving issues. Degree in Computer Science or related field. An advanced degree is a plus. Active Secret clearance required; TS SCI clearance preferred Work Environment and Mental/Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions, absent undue hardships. Must be able to perform work in a stationary position at a minimum of 50% of the time. Must have the ability to operate computer and other office productivity machinery consistently during work hours. Must have the ability to communicate and exchange information and ideas in an in-person or virtual setting through the use of online tools and available communication mediums. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of their job, absent undue hardship. The Employer retains the right to change or assign other duties to this position as deemed necessary Job Classification Associate III $175,000 - $200,000 Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Navy Federal is seeking a highly skilled and experienced Business System Analyst III / Product/ Experience Owner to join our dynamic team. In this role, you will operate as a key partner within or supporting the Agile Release Train (ART), contributing directly to product strategy, roadmap execution, and continuous delivery of value for our Commercial Lending technology platforms. You will work closely with Product Owners, Release Train Engineers, business stakeholders, and technical teams to ensure business needs are clearly understood, documented, prioritized, and translated into business and technical user stories/use cases. This role blends systems expertise with product-oriented thinking, advancing platform capabilities, and driving outcomes that enhance our commercial lending and business membership experience. You will play a crucial role in translating business objectives into actionable technical solutions, ensuring that our systems effectively support and elevate our business operations. Responsibilities Support product vision and longterm roadmap development by identifying business needs, capability gaps, and enhancement opportunities. Partner with business product managers and technical resources to refine features, maintain a healthy backlog, and ensure alignment with ART and organizational priorities. Use elicitation and storytelling techniques to understand desired functional requirements from business leaders. Develop and/or identify use-cases (user-stories) to support technical work aligned to desired business outcomes. Analyze, define and document technical design for data, workflow, logical processes, hardware and operating systems environment, interface with other systems, internal and external controls and output. Conduct and/or facilitate user acceptance testing to include developing and executing test cases, communication with project teams, validating and documenting results. Execute a wide range of analysis [e.g. gap, root cause, cost savings, time savings (efficiency gains)] and others essential to support business and technical objectives. Collaborate with internal teams to plan, coordinate and execute product changes, updates and releases within time and resource constraints. Develop artifacts and/or deliverables to help facilitate common understanding of technically complex subjects. Develop high-level epics and/or features to identify key objectives aligned with desired business outcomes. Lead the development and refinement of features into product backlog items within Azure Dev Ops. Collaborate with project leaders to schedule and lead assigned tasks to support project progress. Communicate regularly with leaders on professional responsibilities, tasks, blockers, and risks. Provide formal/informal training maximizing opportunities for technical skill set development. Research emerging technologies and recommend solutions that align with business goals. Proactively identify gaps and corresponding solutions within team processes. Produce artifacts and/or deliverables as required to support project progress. Identify key metrics or data to support business and/or technical objectives. Demonstrate critical thinking and problem-solving abilities. Perform other duties as assigned. Qualifications Highly experienced as a Product /Experience Owner, operating within or supporting an Agile Release Train (ART). Highly experienced as a systems or business analysts' role, preferably within a financial institution. Experience in Azure Dev Ops (ADO) or similar platforms for documenting and communicating project responsibilities, assigning tasks, and managing backlogs. Experience in developing dashboards, queries and additional platform functionality to optimize workflow and reporting on platforms such as Jira, ADO or Power BI. Strong understanding of commercial lending processes (origination, servicing, compliance) at a financial institution. Experience in participating and/or leading agile ceremonies and additional project meetings to drive progress. Bachelor's Degree in a related field, or the equivalent combination of training, education and experience. Experience in Independently leading large projects/initiatives with minimal leadership oversight. Experience with Agile methodologies (Scrum, SAFe) and project management tools. Experience in leading, guiding and coaching professional staff. Experience with M365 environment and associated products. Hours: Monday - Friday, 8:00AM - 4:30PM EST Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive Pensacola, FL 32526 | 141 Security Drive Winchester, VA 22602 | 9999 Willow Creek Road San Diego, CA 92131 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* Fortune 100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

San Diego FC is built for San Diego - its people, its neighborhoods, and its future. As Major League Soccer's newest club, we use football as a platform to connect, invest in, and give back to the community we represent. Our mission is clear: create opportunities for talent to flourish and San Diego to shine. SDFC's Right to Dream Academy is redefining what is possible in American youth development. Our world-class residential academy sets a new standard for how talent is discovered, nurtured, and launched - on the field and in life. Guided by the Right to Dream model and grounded in the Sycuan Tribe's deep roots, we are proud to honor our history while championing emerging excellence as we build for the future. Position Summary: Our Football Analyst will lead in the delivery of a comprehensive and systematic workflow to support academy player development through the capture, analysis, and sharing of insights from all academy training sessions and games. Collaborate as part of a multi-disciplinary academy team focused on football, academics, and character development while also working in alignment with the SDFC first team analysis department. Key Responsibilities Reporting to SDFC's Head of Academy Football, duties will include: Lead in the provision of video analysis across the academy, covering all aspects of video/data capture from training and games Attend technical meetings, training sessions and games Review, analyze, and share video examples related to style of play and individual player learning moments Collaborate with analysis staff of SDFC first team and other RTD academies to identify content applicable to the academy Input and export of training data related to periodization Assist the academy scouting and recruitment process with the capture and analysis of film from tryouts, ID Centers, and other platforms Ensure all analysis and presentation of information is age/stage appropriate Genuine desire and willingness to play a part in the holistic development of student-athletes on campus Qualifications Candidates can meet the qualifications for this role with a combination of education, experience and skills. Degree in a field related to Performance Analysis Minimum 1-year in a similar role, working with coaches and/or analysts Experience of working in a multi-disciplinary team at a residential school or football/soccer academy Technical skills using tools like Hudl, Sportscode, Wyscout, Spiideo, Veo etc. Able to provide examples of previous player development analysis work created using the above tools Eligibility to work in the USA Preferred Experience & Skills License or experience flying a drone Youth coaching experience preferred Strong verbal, written, in-person and presentation communication skills Process driven with careful attention to detail Excellent organizational, data collection, planning and leadership skills English essential, bilingual with Spanish preferred We have a strong commitment to student athlete safety and well-being. All candidates must pass a fingerprint background check and complete SafeSport training. We encourage all individuals who share our commitment to community and soccer to apply. SDFC is an Equal Opportunity Employer.

Data Analytics Engineer (mid-level) Duration: contract through 03/2027 Pay Rate: $40-50/hr on W2 (contingent on experience) About the Role Sony Electronics is seeking a motivated and data-driven problem solver who thrives at the intersection of business and technology. As a Data Engineer/Analyst, you'll play a key role in transforming raw data into meaningful insights and scalable solutions that support decision-making across the organization. This hybrid role blends technical engineering with analytical storytelling-perfect for someone early in their career who's eager to learn, grow, and make a real business impact. You'll collaborate with stakeholders to understand their data needs, analyze complex datasets to uncover trends and opportunities, and deliver insights that inform strategic decisions. You'll also work alongside senior engineers to enhance data pipelines and models, gaining hands-on experience with the infrastructure that powers analytics across Sony. Key Responsibilities · Collaborate with senior data engineers and cross-functional teams to design, build, and maintain scalable data pipelines and analytics infrastructure · Translate business requirements into reliable data models and prepare clean, well-organized datasets for self-service analytics · Develop dashboards and reports using tools like Power BI to support data-driven decision-making and communicate insights effectively · Contribute to existing codebases (e.g., Python, SQL), applying best practices for maintainable and scalable engineering · Monitor data quality and availability, troubleshoot issues across environments, and ensure accuracy and consistency in analytics outputs · Support ongoing improvements to data models, streamline access, and automate reporting workflows to enhance operational efficiency Qualifications · Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field · Foundational experience with data analysis and programming (e.g., Python or similar) · Familiarity with business intelligence tools such as Power BI · Exposure to modern data platforms like Databricks, Snowflake, BigQuery, or Redshift · Ability to interpret business needs and translate them into scalable, technical data solutions · Strong communication skills for collaborating with technical and non-technical stakeholders · Demonstrated problem-solving ability, curiosity, and eagerness to grow in a collaborative environment Preferred Skills · Hands-on experience with Databricks or similar cloud-based data platforms · Proficiency in scripting languages for data analysis, such as Python, R, or equivalent Solid understanding of ETL (Extract, Transform, Load) processes and foundational data modeling concepts Estimated Min Rate: $40.00 Estimated Max Rate: $50.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

A leading technology consulting firm in San Diego is seeking a Mid-level Data Scientist to unlock insights from complex data sets and use machine learning for client solutions. The role requires over 2 years of analytical experience and proficiency in languages such as R and Python, developing predictive models and visualizations. The company offers competitive compensation in the range of $77,600 to $176,000 annually, along with a comprehensive benefits package. This position prioritizes clients with data-rich environments, requiring clear communication and collaboration skills. #J-18808-Ljbffr

Do you have a passion for using data to drive business strategies and optimize performance? Do you want a role that exposes you to bleeding‑edge technologies? Intuit's Consumer Group has an exciting opportunity for a best-in‑class, data‑driven leader in the TurboTax Product Analytics organization. As a Staff Data Scientist in the Full Service Data Science team, you will be in a highly influential position to inform product strategy and drive maximum business results. Responsibilities Perform hands‑on data analysis and modeling to derive meaningful conclusions and solve complex problems. Extract insights and knowledge from structured and unstructured data using various techniques, including statistical analysis, machine learning, and data visualization in service to driving business decisions. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of product experiences, and communicate results to peers and leaders to measure and optimize execution of data‑driven strategies in emerging areas of the TurboTax Full Service roadmap. Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques, etc., to establish causality and measure product performance. Manage data integration and engineering with the Product platform for data hygiene. Provide guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals in the standardization of reporting and strategy. Drive strategic thinking and cross‑functional alignment around data‑driven approaches to optimizing the TurboTax Full Service conversion funnel. Draft whitepapers to summarize complex Analytics concepts with clearly outlined principles and data‑backed research. Influence the team's roadmap by sharing findings with the rest of the company and driving and verifying change in our marketing channel spend. Mentor junior analysts to raise the bar across the Analytics organization. Qualifications 7-10 years of experience working in web, product, marketing, or other related analytics fields, ideally with exposure to ... Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. Proven ability to apply scientific methods to solve real‑world problems on web‑scale data. Strong business and product sense: delight in shaping vague questions into well‑defined analyses and success metrics that drive business decisions. Advanced proficiency in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python. Experience in defining metrics and instrumenting data tracking in clickstream. Excellent problem‑solving skills and end‑to‑end quantitative thinking. Ability to manage multiple projects simultaneously to meet objectives and key deadlines. A great storyteller and communicator who can build relationships with a diverse set of stakeholders, including both technical and non‑technical colleagues. MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience is preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: #J-18808-Ljbffr

THOR Solutions is actively seeking a Mid-Level Data Scientist to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability Software Engineering and testing to develop data analysis tools and event reconstruction Performs database entry, management, and monitors automated back-up Performs database query analysis Location: Onsite at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. Travel Requirements: Up to 10% travel is anticipated. Typical Physical Activity: Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision. Typical Pay Range: The anticipated pay range for this position in the identified location(s) is $63,750 - $89,250/year. Actual compensation offered will be based upon individual factors including education, qualifications, and experience. Existing Security Clearance Required: This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded. Typical Knowledge, Skills, and Abilities: High School diploma, GED, or equivalent Five (5) years of Navy experience managing Navy computer networks Three (3) years of experience using Python and other programming tools to script data analysis products Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include: Scripting language such as Python with SQL server relational database Security+ certification AZURE Administrator Associate AZ-104 Proficient with common productivity software, including the Microsoft Office suite. Excellent communication skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and traditional/Roth options Medical Insurance (3 plan options) + TRICARE Supplemental Coverage Dental Insurance (2 plan options) Vision Insurance Plan Healthcare and Dependent Care Flexible Spending Accounts Commuter/Transit Benefits Basic Life/AD&D, Short-Term and Long-Term Disability Insurance Supplemental Life Insurance Pet Benefits Legal Resources ID Theft Benefits Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at *************************** or **************. #J-18808-Ljbffr

SEA 21, NAVSEA's Director of Surface Ship Maintenance, Modernization, and Sustainment is seeking professional support services (PSS) to support the Government's existing organization, personnel, knowledge, and processes. SEA 21 integrates sustainment and maintenance strategies, modernization plans, training needs, and technical, logistics, and programmatic efforts to best manage the lifecycle of U.S. and partner Navy surface ships and systems from fleet introduction through transfer or disposal. SEA 21 is the dedicated life cycle management organization for the Navy's in-service surface ships and is responsible for managing critical modernization, maintenance, training, and inactivation programs. SEA 21 provides wholeness to the fleet by serving as the primary technical interface, ensuring surface ships are modernized with the latest technologies and remain mission relevant throughout each ship's service life. The organization also maintains inactive ships for future disposal, donation, or transfer, to include follow-on technical support to our partner navies. Salary for this position is $24.76/Hr.-$27.93/Hr. Duties include Collect, review, and analyze information in order to make recommendations to the Government. Define the nature and extent of problems. Analyze relevant data, which may include annual revenues, employment, cost performance, schedule or expenditures. Interview managers and employees while observing their operations. Develop solutions to problems. In the course of preparing recommendations, understand the nature of the organization, the relationship it has with others in the Government, and its internal organization and culture. Prepare and solve mathematical models. Report findings and recommendations to the Government. Reports are usually submitted in writing, but oral presentations regarding findings also are common. For some projects, management analysts are retained to help implement the suggestions they have made. Required Skills and Experiences Minimum of 1 year professional experience related to labor category Preferred Skills and Experiences 4 years professional experience related to labor category. Experience supporting a DoD component. Degree Requirements None Preferred Degree Requirements Bachelor's degree in any field Must be a U.S. citizen A secret security clearance. #J-18808-Ljbffr

A global consulting firm is seeking a Senior Manager in Data Architecture for the Power & Utilities sector. The role demands expertise in data architecture and a strong consulting background. Responsibilities include leading technology projects, managing teams, and fostering client relationships. Ideal candidates will have deep knowledge of data solutions, project management skills, and a Bachelor's in a STEM field. This position offers a competitive salary range and flexible working conditions. #J-18808-Ljbffr