Data analyst jobs in Tustin, CA

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Data Analyst to join the LB Builds project team, supporting a major enterprise permitting and licensing system modernization effort. This role focuses on data migration, conversion, and integrations across multiple legacy sources, ensuring accuracy, integrity, and secure data transfer into the new platform. This position will work directly with the Data Team Lead, partnering with stakeholders across departments to define migration scope and deliver high-quality data transformation outcomes. Responsibilities Support development of the project's data migration and integration strategy Perform data conversions, mapping, and validation from legacy systems Work with business stakeholders to define scope and ensure data accuracy and completeness Ensure proper data governance, security, and documentation are followed Collaborate with the project team to deliver high-quality, on-time migration results Assist with creating and maintaining Power BI dashboards Communicate effectively with technical and non-technical stakeholders Required Skills & Experience Strong hands-on experience with data migration, conversions, and integrations Proficiency with ETL tools (BOE preferred, but other ETL experience accepted) Advanced Excel skills Experience working in team-oriented project environments Excellent communication and collaboration abilities Preferred Qualifications Experience with Snowflake Experience building Power BI dashboards Previous experience on large enterprise system projects Additional Requirements Must live within reasonable commuting distance of Long Beach, CA Must be available for on-site visits a few times per month or quarter Must complete LiveScan in person. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $44 - $54 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

About Us Sunderstorm is a premier cannabis company that owns and operates the award-winning edibles brand Kanha. Based in California, the Company has over 200 employees with operations in Massachusetts, Illinois, Nevada, and Thailand. Sunderstorm is a leader in nano-tech fast acting edibles, has recently launched a line of vape products, and distributes for third party brands in California. Serving over 1000 retails clients, Sunderstorm and its flagship Kanha gummies are a national cannabis success. Work with Us - KANHA is excited to welcome talented builders, doers and thinkers to join our team! If you're ready to take the next step in your career, we encourage you to apply and prepare yourself to embark on a new blissful journey with KANHA! So what does KANHA offer YOU? Comprehensive benefits package, including health insurance, voluntary coverage and a retirement savings plan option Paid Time-Off (vacation pay, sick pay, holiday pay) On-the-job training to foster your growth and success. Company events, catered lunches, team building activities and more! Employee Assistance Program (EAP) A culture founded on inclusivity and respect, where each team member's contributions are acknowledged and celebrated. **Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.** Job Description Sunderstorm is leading the technology charge in cannabis, one of the most exciting and challenging industries today. We are expanding both domestically and internationally, and data-driven insights are critical to our growth. We are seeking a Data Analyst to join our team, reporting to the Data Science Manager, to help drive e-commerce sales and support both our marketing and product teams with actionable analytics. As a Data Analyst, you'll partner with marketing, product, and e-commerce to turn data into decisions. You'll own SQL analysis and Tableau dashboards, ensure consistent metrics and clean data, and uncover insights that improve conversion and customer experience. You'll evaluate performance across channels, run campaign analyses, and deliver clear, actionable recommendations that guide business strategy. Statistical testing and experiment design experience is a plus. This role is ideal for someone who loves turning data into action. You will not only surface insights but also make clear recommendations that shape marketing campaigns, optimize spend, improve ROI, and support product decisions. You'll help Sunderstorm's digital marketing, e-commerce, and product efforts thrive in a fast-paced, innovative environment. Duties and Responsibilities: Be a strategic thought partner to stakeholders across product, marketing, e‑commerce, and leadership; framing questions, shaping hypotheses, and translating insights into decisions. Build and maintain core BI assets (dashboards, data models, scheduled reports); apply Tableau best practices and create executive-ready presentations that turn analysis into clear, actionable recommendations. Perform ad‑hoc SQL analysis across key data sources (e.g., Shopify data, CRM, ads/web analytics) to answer high‑impact questions quickly and accurately. Analyze marketing and e-commerce performance across channels (Meta, Google, email, social, paid media, SEO) and provide actionable recommendations to optimize spend and improve results. Train and monitor pretrained AI agents on internal datasets to improve accuracy, reduce hallucinations, and ensure model outputs align with business needs. Monitor and interpret sales trends and customer behavior, identifying opportunities to increase revenue, improve conversion, and enhance engagement. Support the Product Manager by maintaining reports, transforming data from multiple sources, building visualizations, and conducting ad-hoc market analyses that inform product strategy. Collaborate with the Analytics Engineer to maintain analytics‑ready pipelines, consistent metric definitions, and strong data quality through validation and reconciliation. Lead pre- and post-campaign analyses across paid, owned, and on-site experiences to highlight performance drivers and recommend optimizations. Assist with data cleaning, validation, and mapping efforts to maintain data quality and ensure consistency across reporting systems. Stay current with modern analytics tools, techniques, and industry trends; evaluate and pilot improvements that increase speed, accuracy, and insight quality. Collaborate with ERP specialists to ensure primary data sources are accurate, integrated, and aligned with analytics and reporting requirements. Strong descriptive analytics skills with the ability to interpret trends and patterns; familiarity with statistical analysis, experimentation, and advanced hypothesis testing is a plus. Skills and Qualifications: 2+ years in a data analyst or business analyst role Bachelor's degree required; Master's in analytics, business analytics, Data Science, Engineering or related field preferred 2+ years analyzing marketing and e-commerce performance, including A/B testing and conversion optimization Strong skills with reporting and analytics tools (e.g., SQL, Excel, Tableau, Google Analytics, GA4) Experience with digital marketing platforms (e.g., HubSpot, Shopify, ad platforms) and marketing attribution concepts Cannabis, CPG, or regulated industry experience a plus Here at Sunderstorm Inc we offer medical, dental, vision insurance and retirement benefits. Come be a part of our growing organization and its opportunities for your career development! You will learn and develop alongside a team of professionals who aim to excel in the cannabis industry. Apply now! Sunderstorm Inc is an Equal Employment Opportunity Employer and we welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status or genetics. We are dedicated to providing an inclusive, open, and diverse work environment.

XP3R is a fast-growing data and technology consulting firm that helps organizations unlock the power of data, analytics, AI, and technology to make smarter & faster decisions. We partner with clients to turn complex data into actionable insights that drive better decisions and measurable results and encapsulate data & insights into custom-tooling for interactivity and visibility. What makes us different is how we work; we combine structure with curiosity, and strategy with execution. We move fast and focus on value-adding outcomes, and we don't back down from any challenge. Our team is made up of builders, problem-solvers, and lifelong learners who love the challenge of transforming ambiguity into clarity. At XP3R, you'll have the freedom to experiment, the support to grow, and the opportunity to make an impact that's visible from day one. We're a small, ambitious team, and every hire has a direct impact on how we grow. The Role We are looking for a Junior Data Analyst / Engineer who is ready to learn, grow, and become a future leader in our analytics practice. This role is ideal for someone early in their career who has a track record of “building things that work” and a get-it-done mentality with ambition to grow into a lead Data Engineer or Consultant within the next 1-2 years. What You'll Do Support data integration, transformation, and analysis projects across multiple clients. Build and maintain ETL processes, data models, and reporting solutions (Power BI, Microsoft Fabric, SQL, Python, or similar tools). Enforce QA/QC across Fabric datasets and PowerBI reports Analyze data for business-driven insights in Excel, Python, or similar tools. Troubleshoot data issues, document solutions, and continuously improve processes. Learn our structured way of working - balancing independence with collaboration. Grow into a role where you can lead client-facing work and project delivery. What We're Looking For At XP3R, we look for people who love figuring things out - the kind who see patterns in chaos and turn complex problems into clean, working solutions. We're looking for builders who ask questions, test ideas, and don't stop until the data tells a clear story. The ideal candidate is: Technically Capable - You are rooted in technical capabilities and have a knack for being able to figure things out to drive implementation and delivery of work product; exposure to SQL, Python, R, Power BI, or similar tools is required. Owns the Work - You take initiative, explore solutions, and learn new tools without waiting for direction. You take ownership of work & hold yourself accountable for delivery. Entrepreneurial by Nature - You're motivated by challenge and want to help build something meaningful, not just maintain it. Quick to Learn - You adapt fast, connect ideas quickly, and enjoy turning new knowledge into action. You excel at switching between different contexts & tasks and pick up skills as you go. Collaborative & Reliable - You elevate the people around you through communication, structure, and a sense of shared purpose.

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

Duration: 12 Months Contract Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m. Job description: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Experience Required: Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education Required & certifications: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: Microsoft Azure Data Scientist Associate (DP-100) Databricks Certified Data Scientist or Machine Learning Professional AWS Machine Learning Specialty Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Raviteja Yarram Email: ********************************* Internal I'd : 25-54101

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Da • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.

Onsite in Culver City, CA / Sunnyvale, CA from Day 1 (Client prefer local folks) (Travel required 1 or 2 day trip every month to Sunnyvale or Culver City) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No Mid layer / No Implementation partners are Involved Required Media & Entertainment background (must-have) Technical Business Analyst or Technical Writer backgrounds may work Most important is learning very quickly 3+ years' experience, a more junior level has worked in past Engineering or technical background (not SDLC; but Infrastructure/Networking, Storage or Media Asset Management Systems. Very technical, experienced sitting with engineers and able to get the technical concepts and ask technical questions clarifying questions Own the entire requirements gathering process Requirements management tools: Not just BRDs, must have used Jira or ‘like' tools that create in structured way - list Agile projects Nice to have: UI design principles (not required) Example for prep: Client live sports team: how many types of unencrypted protocols need, what is bandwidth, types of networking gear Onsight. Sit with an engineer, to create diagram of broadcast pipeline in your area of bldg. If Candidate has Sample work, client would love to see Tech diagrams / tech requirements samples Not user journey stuff Pay Range: $55/hr - $60/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

*LOCAL CANDIDATES ONLY. IF YOU APPLY & ARE NOT LOCAL, YOU WILL NOT GET A CALL.* Please make sure you read the following details carefully before making any applications. *THIS ROLE IS HYBRID ONSITE IN ORANGE, CA. (ONSITE EVERY WEDNESDAY, THEN EVERY OTHER MONTH YOU'D ALSO WORK ONSITE ON TUESDAY AND THURSDAY.)* *NO 3RD PARTY FIRM / C2C CANDIDATES. AND NO, I CANNOT HIRE YOUR CONSULTANTS ON MY W2. * *THIS IS NOT A DATA ANALYST, FINANCIAL ANALYST, PROGRAMMER ANALYST, OR APPLICATION SUPPORT/ADMIN ROLE. THIS IS A TRADITIONAL BUSINESS ANALYST WORKING ON SOFTWARE / API BASED PROJECTS.* KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a *Business Analyst: gathering/doc sessions for software / API projects in healthcare/health insurance 'Intangibles'* * *This position may ultimately migrate to a Lead Business Analyst role in the future. Correspondingly. Skills associated with the coordination and leadership of business analysts are desirable.* * *The successful candidate will command gatherings of internal stakeholders. Leads and drives requirements-related conversations with *_*gravitas*_ *and demonstrates skill in correlating requirements with existing functionality in the vendor SaaS platform.* *Purpose of Position:* The Sr. Business Analyst is responsible for gathering, analyzing, writing, reviewing, and maintaining business and technical requirements and related artifacts for healthcare insurance-related application development initiatives, while collaborating with team members. *Essential Functions:* Perform the business analysis activities listed below at a _*high level of competence, independence, minimal supervision, and within standards and principles defined by the supervisor or management*_. Support and engage in best practices, a culture of learning, and continual improvement for the business analysis activities below. * *Business Analysis Planning and Monitoring* * Plan and execute an approach for establishing and maintaining effective working relationships with the stakeholders * Plan and execute business analysis: * approach to define an appropriate method to conduct business analysis activities * governance to define how decisions are made about requirements and designs, including reviews, change control, approvals, and prioritization * information management to develop an approach for how business analysis information will be stored and accessed * Identify business analysis performance improvements to assess business analysis work and plan to improve processes where required * *Elicitation and Collaboration* * Prepare for elicitation to understand the scope of the elicitation activity and select appropriate techniques * Conduct elicitation to draw out, explore, and identify information relevant to the change * Confirm elicitation results to check the information gathered during an elicitation session for accuracy and consistency with other information * Communicate business analysis information to ensure stakeholders have a shared understanding of business analysis information * Manage stakeholder collaboration to encourage stakeholders to work towards a common goal * *Requirements Life Cycle Management* * Trace requirements to ensure that requirements and designs at different levels are aligned to one another, and to manage the effects of change to related requirements * Maintain requirements to retain requirement accuracy and consistency throughout and beyond the change during the entire requirements life cycle, and to support reuse of requirements in other solutions * Assess requirements changes to evaluate the implications of proposed changes to requirements and designs * Obtain agreement on and approval of requirements and designs for business analysis work to continue and/or solution construction to proceed * *Requirements Analysis and Design Definition* * Specify and model requirements to analyze, synthesize, and refine elicitation results into requirements and designs * Verify requirements to ensure that requirements and designs specifications and models meet quality standards and are usable for the purpose they serve * Validate requirements to ensure that all requirements and designs align to the business requirements and support the delivery of needed value * Define design options to define the solution approach, identify opportunities to improve the business, allocate requirements across solution components, and represent design options that achieve the desired future state * *Miscellaneous Tasks in Support of Project Management and SDLC* * Various assigned activities in support of project management or the Software Development Life Cycle (SDLC) * *Perform other business tasks or functions as assigned.* Requirements: * *High School diploma or equivalent required. * * *Bachelor's Degree or equivalent experience* * *Relevant professional Business Analysis Certification(s) preferred* * Familiarity with the operational culture of highly regulated industries * Health Insurance industry experience is preferred * *At least 5-8 years in a recent senior-level Business Analyst role that includes LEADING reqs gathering sessions. * * *Documentation skills that include use cases, user stories, process flows, etc.* * *Project experience should include software development, SaaS product implementations, and/or integrations related software projects.* * Problem Solving: apply structured approaches to understanding problems to develop effective solutions, and ensure successful implementation * Creative Thinking: productively generate, consider, and apply new ideas to existing problems * _Decision Making: _demonstrate an effective understanding of the criteria involved in sound decision making * _Learning: _quickly assimilate new and different types of information; adapt existing knowledge to current and future circumstances * _Conceptual Thinking: _grasp abstract ideas, identify patterns, and synthesize information * _Visual Thinking: _communicate complex concepts into understandable visual representations * All communication must always use proper grammar, punctuation, and spelling * Modulate communication content for various informational needs and audiences * Able to listen attentively with the goal of understanding * Facilitation of group discussions on complex topics * Exercising of leadership and influence without necessarily having authority * Work productively with team members and stakeholders * Negotiation and resolution of conflicts among team members and stakeholders * Teaching and communication of business analysis concepts and ideas * Competence in Microsoft Outlook, Excel, Word, PowerPoint, Visio, SharePoint, Teams * Experience using software to support and manage the Software Development Lifecycle (e.g. Azure DevOps, Jira, etc.) * Experience with Requirement Management Software preferred (e.g. JAMA, Rally, etc.) * Works with a high degree of ownership over one's responsibilities, deliverables, and respective results * Executes responsibilities with a high level of courtesy, tact, openness, and integrity * Continually develops trust among colleagues and stakeholders *Physical Requirements* *Must be able to sit for extended periods of time and occasionally stand and walk. * *Must have adequate hearing for phone work. * *Vision requirements include close vision and the ability to adjust focus. * *Must be able to communicate effectively in English. * *Must be able to use a keyboard and other office equipment. * *Ability to lift up to 10 pounds occasionally.* Compensation depends on experience but is typically $50-63.62/hr W2 ABOUT KORE1 Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies. *Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. xevrcyc Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.* Pay: $50.00 - $63.62 per hour Expected hours: 40 per week Benefits: * 401(k) * AD&D insurance * Dental insurance * Disability insurance * Flexible spending account * Health insurance * Life insurance * Paid sick time * Vision insurance Work Location: Hybrid remote in Orange, CA 92868

Our client is seeking a Data Migration Specialist for a long-term (1-2 years) contract position. This role will be hybrid/onsite 4 days a week in Downey, CA. Requirements: Data Migration and Implementation experience Strong Excel experience Experience with data mapping Reviewing UAT results for errors

Data Warehouse Architect Pay Range: $75/hour to $85/hour About the Role We're looking for an experienced and proactive Data Warehouse Architect to design, implement, and optimize our new data warehouse environment. This is a foundational role where you'll guide tool selection, establish data processes, and build a robust, scalable platform that empowers data-driven decision-making across the organization. You'll play a key role in transforming our current reporting capabilities into a modern, integrated data ecosystem - enabling our teams to access, trust, and act on data with confidence. Required Skills and Qualifications: Experience: Proven experience in designing, implementing, and optimizing data warehouse solutions. Prior consulting or project-based experience in a data environment is highly desirable. Technical Proficiency: Strong expertise with data warehousing platforms. Hands-on experience with ETL/ELT tools; experience with Airbyte is a significant plus. Proficiency in BI and data visualization tools, including Power BI (highly desired) and/or Tableau. Strong SQL skills for data extraction, manipulation, and optimization. Familiarity with data modeling, data governance, and database management principles. Soft Skills: · Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, actionable business insights for non-technical audiences. · Strong project management skills, including the ability to oversee implementation plans and timelines. · A passion for teaching and mentoring, capable of building data literacy within an organization. · Proactive problem-solver with a strong ability to conduct current state assessments and gap analyses. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, or a related quantitative field. Experience with other relevant tools like Retool or cloud platforms (AWS, Azure, GCP). Certifications in data warehousing, cloud technologies (e.g., AWS Certified Database - Specialty), or BI tools.

We are seeking a detail-oriented and strategic Business Analyst with strong domain expertise in the Media & Entertainment (M&E) industry. The ideal candidate will support business operations, product teams, and content workflows by analyzing data, identifying opportunities for optimization, and driving cross-functional initiatives that enhance audience engagement, content performance, and operational efficiency. Qualifications Required Bachelor's degree in Business, Media Studies, Communications, or a related field. 2-5+ years of experience as a Business Analyst, preferably in the Media & Entertainment industry (TV, OTT/Streaming, Film, Music, Digital Media, etc.). Strong understanding of content creation, programming, distribution, monetization, and audience analytics. Proficiency in data analysis tools (Excel, SQL, Power BI, Tableau). Experience with Agile/Scrum methodologies. Key Skills Analytical thinking & problem-solving Stakeholder management Requirements gathering & documentation Data interpretation & reporting Media & entertainment domain knowledge Thanks and Regards Asif Ansari Senior Resource Executive Email: ******************

Key Qualifications Responsible for the submission of payment requisitions along with the proper documentation once a payment is triggered. Process and track payments for Apple TV content projects Verify Payment amounts have a three way match between Invoice, Agreement and Confirmation approval. Ensure all documentation is in order to process payments. Must be able to comprehend and interpret legal agreements. Excellent communication and presentation skills, both verbal and written. Excellent Excel skills. Highly motivated, analytical, proactive and self-sufficient. Ability to plan and manage multiple projects simultaneously. Must be able to work independently and team up with various divisions and departments. New Media experience is a plus. Passion for the Entertainment Industry. Description A strong eye for detail will be crucial along with the ability to catch and resolve discrepancies Liaise with Business Affairs, FP&A and Legal to gather required information. Analyze and interpret contracts for payment details. Participate in the building and implementation process of new systems related to process improvements, efficiency and standardization. Collect vendor setup information.

TL;DR Kharon is seeking a full-time Research Analyst with language proficiency in Russian based in L.A. or Washington D.C. This role requires in-office attendance 4 days a week. RESPONSIBILITIES: Update existing research while monitoring developments on sanctions issues, regulatory environments, and other national security or compliance-related matters. Identify and utilize new data and sources of information to develop subject matter expertise on strategic topics related to business intelligence research, conflict and illicit finance analysis, and banking sector risk management/compliance. Identify risk-relevant research and data typologies, demonstrating sound analytical approaches and research techniques. Demonstrate creativity, resourcefulness, and innovation while maintaining a high ethical standard in working with colleagues and leaders. QUALIFICATIONS: A Bachelor's or Master's degree in International Relations, Political Science, Security Studies, Regional Studies, History, Sociology, or a related field. Must have working reading proficiency in Russian. Experience with academic or professional research, including the use of databases and online resources, is essential. Understanding of global sanctions, international regulations, and compliance issues. High ethical standard, cultural awareness, and sensitivity to work respectfully in a diverse research environment. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. With dotted-line leadership from the EVP of Research, the core of this position is dedicated to conducting open-source research on a variety of foreign affairs and national security issues. More specifically, you will be researching, analyzing, and interpreting data as it relates to sanctions, export controls, and criminal/illicit networks. You will be responsible for the diligent pursuit of data as it relates to ever-evolving market demand and our client inquiries. Working collaboratively with the Kharon Research team, you will contribute to the development of new datasets and update existing ones, identifying and utilizing new sources and developing subject matter expertise on the various strategic topics. Leveraging your sound analytical approach and research techniques, you will identify data typologies and conduct risk-relevant research that contributes to the health of our data intelligence and overall platform. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision FSA program for both medical and dependent care 401k with matching and immediate vesting + ROTH IRA Paid time off + 11 paid holidays If interested in pursuing this position, please visit ************** to apply. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. The base salary range at Kharon is set between $65,000-$75,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.

We are currently looking for a Commercial Pricing Analyst to come on-board for a Full-Time role with one of our Logistic Organizations in Cypress, CA. The Commercial Pricing Analyst will perform diverse analyses on cost optimization alternatives for the company's international logistics network. They will also be involved in providing pricing to the Sales team for international and domestic mail, publications, and parcel distribution solutions. The ideal candidate will have 1-5 years of relevant work experience, an expert with Excel, Power BI, and if you have logistics experience, that would be a major plus. Responsibilities: Develop routing schemes and quotes, working with Sales, Finance, Business Development, and other departments as necessary Work directly with all company departments, including sales, customer service, operations, dispatch, billing, A/P, export, and finance, to achieve routing and pricing objectives. Manage and maintain proprietary pricing, costing, and routing databases and tools Interpret data and conduct a technical analysis to determine financial performance and operational efficiency, and help drive business decisions Special assignments as requested by management Develop customized reports as requested Qualifications: Bachelor's degree in Logistics, Business, STEM or related field. Strong demonstrated analytical background and experience Advanced competency using MS Excel, SQL, Power BI, and other software to perform sensitivity analyses with available data. 1-5 years of relevant work experience. Knowledge of eCommerce parcel and mail distribution, international logistics or supply chain logistics is highly desirable Able to communicate clearly and courteously with various stakeholders to ask questions, accurately gather data and convey results. Ability to work well in diverse team environments. Please note: This position is not open to 3rd party c2c agencies. No visa sponsorship provided. All applicants must have permanent US work authorization and not require sponsorship now or in the future. Locals/ daily commuting distance only please; no remote or relocation.

Sr. Data Engineer Full Time Direct Hire Job Hybrid with work location-Irvine, CA. The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self-service analytics across the organization. Key Responsibilities • Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran. • Design and optimize enterprise data models for performance and scalability. • Support data cataloging, lineage, quality, and compliance efforts. • Translate business and analytics requirements into reliable data solutions. • Use AWS (primarily S3) for storage, integration, and platform reliability. • Perform other data engineering tasks as needed. Required Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. • 5+ years of data engineering experience. • Hands-on expertise with Snowflake, dbt, and Fivetran. • Strong background in data warehousing, dimensional modeling, and SQL. • Experience with AWS (S3) and data governance tools such as Alation or Atlan. • Proficiency in Python for scripting and automation. • Experience with streaming technologies (Kafka, Kinesis, Flink) a plus. • Knowledge of data security and compliance best practices. • Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker. • Ability to mentor junior engineers. Skills • Snowflake • dbt • Fivetran • Data modeling and warehousing • AWS • Data governance • SQL • Python • Strong communication and cross-functional collaboration • Interest in emerging data and AI technologies

Job Title: Slotting Analyst- Supply Chain Job Type: Contract through 4/31/2026 with potential for extension or conversion We are looking for a skilled and analytical Slotting Analyst to join our inventory control focused supply chain team. The ideal candidate will have 3-5 years of experience in warehouse data analysis with a strong command of SQL and Excel. This role will play a critical part in turning complex data into actionable insights to drive decision-making for a major supply chain modernization initiative. Key Responsibilities: Warehouse Flow Analysis: Conduct on-site audits of warehouse pick paths and travel patterns. Map and document building layouts, including shelving levels and order picker zones. Evaluate how associates currently group work and navigate through locations. Slotting Optimization: Analyze inventory data to determine optimal product placement. Develop slotting strategies that reduce travel time and improve picking efficiency. Data Analysis & Reporting: Pull and manipulate data using SQL queries. Apply advanced Excel formulas to calculate and visualize slotting paths Prepare reports and recommendations for operational improvements. Collaboration: Partner with local operations teams to understand current processes and pain points. Communicate findings and proposed changes to stakeholders effectively. Qualifications: Bachelor's degree in Data Analytics, Supply Chain Management, Industrial Engineering, Computer Science, Statistics, or related field 3-5 years of experience minimum in a supply chain analyst role Intermediate to Advanced SQL skills, with experience querying and transforming large data sets Advanced Excel experience (including manual formulas) Inventory management experience Strong understanding of supply chain concepts and key performance indicators (KPIs) High attention to detail, data accuracy, and analytical thinking Excellent communication skills and the ability to present insights to both technical and non-technical audiences Preferred Qualifications: Experience with SAP Warehouse Management or EWM Experience with data warehouses (e.g., Snowflake) Background in Industrial Engineering or Lean Process Improvement Knowledge of warehouse slotting principles

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Job Title : AWS Data Engineer Informatica Data Catalog Engineer/Governance Administrator This Informatica Cloud Catalog/Governance/Marketplace Administrator/Engineer will be focused on helping customers Configure Cloud Catalog/Governance/Marketplace with Informatica CDGC (Cloud Data Governance and Catalog) and data products from CDGC. This person will configure security and access roles, as well as integrate the SAML/SSO with ticketing services. The ideal candidate will have strong knowledge and experience in CDGC and overall IDMC (Informatica Intelligent Data Management Cloud). Overall IDMC tool experience also required. Responsibilities will include the following: Configure security, Implement Role Based Access Controls and Policy Based Access Controls. Create and configure connections of SAAS platforms, mainframe, databases, No SQL, Cloud (AWS S3, Athena, Redshift etc.). Identify the issues while creating connections and resolving them. Identify performance bottlenecks when profiling and resolve them. Monitor IPU's consumption and automate the consumption reporting to the specific domain teams. Configure Cloud Marketplace with Informatica CDGC and CDMC to policy-based data protections. Review Informatica upgrade schedules, explore the new features and communicate to Technical/Business Teams. Communicate and coordinate with Business Teams regarding upgrade timelines/Implementations. Setup/work with Infrastructure Teams to establish AWS ECS/EKS cluster to manage profiling workloads. Support governance efforts to classify and protect sensitive financial/customer data. Develop/create APIs to fetch cross region (Japan) metadata/Glossary in North America. Utilize knowledge in regulatory compliance standards as well as understanding of Governance policies (e.g., GDPR, CCPA, SOX etc.). Setup SAML/SSO, User and Groups. Setup/create Certificates and Whitelisting IP's. Scan, and profile Metadata Data Catalog and Data Observability. Define data quality rules. Required Skills and Expertise:6+ years of progressive experience in Informatica Platform Administration is required. Strong knowledge and experience in CDGC (Catalog Data Governance Cloud) and overall IDMC (Informatica Intelligent Data Management Cloud). Ability to perform all Catalog Development/Admin Activities Must have 5+ years of progressive experience in Informatica Platform Data Catalog and Governance (CDGC) Administration Needs to have experience administering Governance Policies of Organizations 3+ years of progressive experience in Informatica API's including creating API's 3+ years of progressive experience in Informatica data integration. 2+ years of progressive experience in Informatica data Market Place and Data Access Management tools. Must be skilled with performing the Cloud Data Market Place Process Setup, etc. Expertise in defining and managing RBAC and PBAC Policies Overall IDMC tool experience also required Familiarity with regulatory compliance standards and understanding Governance policies (e.g., GDPR, CCPA, SOX etc.). Team player/collaborator who builds relation with customers and team members, earns their trust, and creates influence to meet tactical or strategic objectives. Collaboration and Communication: Foster a culture of collaboration, knowledge sharing, and effective communication within the team and across departments. Facilitate meetings, workshops, and training sessions to enhance technical skills and foster innovation. Strong oral, verbal communication/presentation skills. Strong domain experience in auto finance: originations, servicing, collections, and customer data. Strong knowledge overall IDMC Platform. Desired Skills and Expertise: Informatica CDGC Certification. AWS Certifications