Data Analyst jobs at Vanguard Services - 507 jobs

A leading data science firm is seeking a Data Scientist to enable deep media insights through advanced analytics. This remote position focuses on Market Mix Modeling, requiring a Ph.D. and 3+ years in data science. Responsibilities include performing hands-on coding, integrating data sources, and managing the data extraction process. The ideal candidate will have strong coding skills in Python, SQL, and BI tools like Tableau, plus experience with advertising analytics and machine learning. #J-18808-Ljbffr

A leading AI-focused company in San Francisco is seeking an experienced data scientist. The role involves driving data strategy to enhance user engagement and product experience. Ideal candidates have extensive experience in data science, strong technical proficiency in Python and SQL, and a collaborative mindset. This position offers flexible paid time off, medical benefits, and an inclusive work environment. #J-18808-Ljbffr

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co‑CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co‑creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Sierra has built a strong data foundation-now we're looking to grow our Data Science team to unlock its full potential. You'll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you'll develop predictive models, build experimentation capabilities, and embed data‑driven decision‑making across the company. This is a unique opportunity to shape Sierra's data future and make a lasting impact on AI‑powered customer interactions. Conduct deep‑diving analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies. Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage. Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly. Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics. What you'll bring Proven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch. Curiosity & Customer‑centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. Adaptability and Resilience: Comfort working in a fast‑paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud‑based platforms (e.g., AWS, GCP). Strong analytic skills: Experience with large‑scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data). Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests. Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non‑technical stakeholders. Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life. Even better… Experience working with large language models (LLMs), conversational AI, or agent‑based systems. Familiarity with building or improving data platforms for advanced analytics. Exposure to product analytics or customer experience research in a SaaS or consumer‑facing tech company. Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self‑reflect to continuously self‑improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full‑time employees: Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) with Sierra match Parental Leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full‑time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. #J-18808-Ljbffr

FocusKPI is seeking a Data Scientist with MMM (Market Mix Modeling) to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S. Duration:6-month contract with potential for extension and conversion, depending on budget and performance Pay range: $50+/hour Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work witha cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with Modeling and Machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills. Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment. A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out ***************** email domain. If you have received fraudulent emails now or in the past, please report it to ***************************** The ************************ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone **********************. #J-18808-Ljbffr

A cutting-edge AI research lab in San Francisco is seeking a skilled software engineer to build and scale data pipelines for high-quality video datasets. The ideal candidate is a strong Python developer, enjoys solving challenging problems, and has excellent communication skills. This role involves end-to-end project ownership and requires working directly with customers. Sieve, Inc. offers an exciting opportunity to contribute to the frontier of Video AI. #J-18808-Ljbffr

A forward-thinking AI company based in San Francisco is seeking an experienced engineer to join their team. You will work closely with small, autonomous teams to create innovative tools and systems that enhance customer experiences. The ideal candidate has over four years of experience in product development, a strong background in full-stack solutions, and a passion for AI. Sierra offers competitive benefits, including flexible paid time off, comprehensive health coverage, and a supportive work environment. #J-18808-Ljbffr

A technology company in San Francisco is looking for skilled engineers to join their data team focused on building AI-driven platforms. Candidates should have strong experience in platform and product engineering, with deep knowledge in data systems, event streaming, and data visualization. The role offers a chance to work with cutting-edge technologies and be a part of a collaborative team that values diversity and innovation. Excellent benefits include flexible paid time off and comprehensive health plans. #J-18808-Ljbffr

You will play a pivotal role in developing and activating Windsor's customer database to drive meaningful business growth. This role is responsible for analyzing customer behavior, uncovering actionable insights, and translating data into strategies that improve engagement and performance across digital and brick-and-mortar storefronts. You will build and maintain a suite of customer reports and dashboards, identify patterns that influence conversion across all channels, and surface opportunities to increase lifetime value, retention, and purchase frequency, with the goal of creating a singular customer view. Through a test-and-learn mindset, you will support rapid experimentation and optimization, helping shape a seamless, data-driven omni-channel customer experience. Key Responsibilities: Own the quality, governance, and activation of customer and digital data across all channels (stores, e-commerce, app, and emerging social commerce), ensuring accurate tracking, automated reporting, and scalable analytics. Integrate multiple data sources to deliver a unified, cross-channel view of the customer, with clearly defined KPIs spanning digital, retail, and social commerce touchpoints. Lead CRM and customer analytics for weekly business reviews and executive dashboards, translating omnichannel performance trends into actionable recommendations. Partner with CRM, marketing, and retail teams to measure and optimize personalization, lifecycle, and loyalty initiatives across the full customer journey. Develop and maintain customer profiles and behavioral segmentations using lifecycle, transactional, and engagement data across channels (e.g., RFM, lapsed, high-value). Drive customer-centric marketing strategies that increase retention, lifetime value, cross-sell, and re-engagement across owned, paid, and in-store channels. Conduct advanced analyses including web, app, retail, and media performance; cross-channel behavior; customer lifetime value; ROI; and experimentation results. Collaborate cross-functionally to design and execute a test-and-learn experimentation framework that continuously optimizes the omnichannel customer experience by channel and device. Build measurement frameworks that connect online and social engagement to offline behavior, quantifying the impact of digital and social commerce activity on e-commerce and store sales. Translate complex, cross-channel data into clear, compelling insights for non-technical stakeholders to support strategic and commercial decision-making. Qualifications: Bachelor's Degree or similar expertise and experience required Demonstrated experience conducting in-depth analysis of various marketing channels, including but not limited to, email, organic social, paid social/digital, SEM/SEO, and retail stores etc. Strong analytical and data visualization skills Experience with Aptos and Alteryx; experience with other CRM products a plus Data management utilizing SQL or Python Google Analytics expertise 5+ years of marketing analyst experience in a dynamic, data-driven environment, preferably in fashion retail Strong computer skills particularly MS Office (Strong Excel and PowerPoint skills are necessary). Ability to work under tight deadlines, deal with diverse levels of personnel in a multi-functional environment. Ability to work independently, under general direction, and create organized work plans and output requirements in a timely fashion. Demonstrate creative thinking and good business judgment. Ability to be flexible, multi-task, have strong organizational, communication and leadership skills to meet strict deadlines and manage multiple projects. Must have strong interpersonal skills and the ability to deal with all levels of management. *Job descriptions are merely a summary of the position. Duties and responsibilities are subject to change and may include any other that management finds necessary to successfully maintain business operations. WINDSOR EQUAL OPPORTUNITY EMPLOYER

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

A cutting-edge technology company in San Francisco is seeking a Data Platform Engineer to drive architecture and implementation of core systems. The ideal candidate has extensive experience with backend systems and demonstrates strong analytical skills in fields such as ML and statistics. Responsibilities include planning technical roadmaps and collaborating across teams. Medical benefits, unlimited PTO, and commuter advantages are offered. #J-18808-Ljbffr

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. The Senior HR Data Visualization Analyst is the primary owner for the HR data product lifecycle within Power BI. This role works closely with Data Governance, Data Model Management, and the Report Lifecycle and Delivery team to ensure that every HR reporting product meets enterprise quality standards, satisfies business requirements, and provides a consistent associate experience across all brands. This analyst serves as the visualization lead for HR Power BI reporting and is responsible for ensuring that all HR reports follow standard design, metadata, navigation, and accessibility expectations. They support the entire lifecycle from business requirement intake, to peer review, to UAT, to final deployment. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA, Carlisle, PA, Scarborough, ME, Hyattsville, MD and Mauldin, SC. Principle Duties and Responsibilities (essential functions) * Partner with the Reporting Analysts under the Manager of HR Reporting to review and confirm business requirements, ensuring they are documented, understood, and feasible. * Translate business requirements into visualization specifications that consistently leverage certified semantic models from Databricks and Fabric. * Guide reports through the full lifecycle: intake, build, peer review, UAT, certification, and deployment. * Conduct final checks on HR Power BI reports to ensure the end user experience is intuitive, accessible, and aligned to enterprise expectations. * Validate dynamic elements in reports, including dynamic branding, dynamic messages, and notification banners that alert users to data issues or refresh problems. * Review navigation, slicer behavior, field parameters, tooltips, and responsiveness to confirm the report behaves correctly across security roles and brands. * Confirm that RLS and OLS rules work as intended across all data slices. * Ensure that reports follow consistent layout, visuals, and structure across all brands. * Maintain and improve a unified set of HR visualization standards, templates, and rules for Power BI report development. * Lead efforts to create a cohesive reporting identity for HR that aligns with enterprise guidelines and provides a seamless experience for end users. * Work closely with the Data Governance team to ensure all visualization practices follow enterprise data governance policies, including certified data product requirements, metadata, lineage, and access control. * Partner with the HR Data Model Management team to confirm that metrics, calculations, and fields used in reports match certified definitions and enterprise data models. * Participate in peer review cycles with technical leads, providing feedback on semantic model design, DAX logic, and overall report alignment. • Serve as the final checkpoint before any HR reporting product is deployed to production. • Confirm that all business requirement checklists are completed, including UAT signoff, peer review documentation, and security validation. • Identify recurring issues in reporting and work with other towers to improve upstream data quality or model structure. • Ensure that all HR reporting products remain compliant with enterprise data governance policies. Basic Qualification Differentiating Criteria Level C Interpret policy/processes The Senior HR Data Visualization Analyst interprets and applies HR data governance policies, Power BI development standards, and reporting lifecycle processes. This includes understanding how enterprise governance rules, naming standards, security practices, and certification requirements guide the creation and deployment of HR Power BI products. The analyst ensures that every report follows approved processes for intake, peer review, UAT, documentation, and release. Level of Analysis The role requires an advanced level of analytical thinking. The analyst must translate business requirements into accurate visual models, evaluate the correctness of DAX measures, diagnose complex data issues, and validate report behavior across multiple security roles. The analyst must also evaluate whether a report meets business intent, communicates insights clearly, and supports accurate HR decision making. This requires synthesizing technical, business, and usability analysis to produce a complete and accurate reporting product. Subject matter expert for Brands, Business Services, and IT related to HR data, systems and analytics. The analyst serves as a subject matter expert on HR reporting and visualization standards across all ADUSA brands. The role requires deep understanding of HR metrics, Power BI capabilities, and how brands and COEs consume information. The analyst collaborates with Business Services, IT BI, Data Governance, and Data Model Management to ensure that reports use certified data, follow governance rules, and maintain unified experience across brand reporting. This expertise is used to guide analysts, business partners, and IT contacts on best practices and reporting requirements. System Configuration/Support The analyst provides advanced configuration, testing, and support within Power BI and Fabric workspaces. This includes applying RLS and OLS rules, managing workspace content, designing navigation structures, validating dynamic elements, and ensuring that each report performs correctly. The role provides technical support to Reporting Analysts during development and helps troubleshoot issues related to data models, report rendering, and end user access. The analyst does not configure HR systems but works closely with HRIS Data Management and IT to maintain alignment between source data and reporting products. Education Bachelor's Degree or equivalent combination of education and related work experience. Power BI or Related Certification Required SuccessFactors Certification Preferred MBA preferred Experience Seven or more years of HRIS, HR analytics, or enterprise reporting experience in a multi-brand environment Three or more years of Power BI development (or equivalent BI platform) at enterprise scale Proven experience working across multiple HR domains (Core HR, Recruiting, Learning, Payroll, Kronos) and enabling actionable insights for senior business stakeholders Skills Advanced Power BI configuration, DAX, M Query and workspace management Demonstrated ability to design intuitive dashboards and translate HR metrics into compelling visual stories for non-technical audiences Strong experience optimizing dashboards for performance and scalability in a shared service/multi-brand setting Excellent collaboration skills across Data Governance, Data Model Management, HR Operations and IT BI functions Proficiency in SQL (T-SQL or similar) and understanding of semantic model architecture and data modelling principles Preferred: Experience with T-SEL, Python, or R for data preparation or supporting advanced analytics initiatives Understanding of HR data models, Databricks, Microsoft Fabric, and cross-brand semantics Competencies Maintain high level of confidentiality Able to handle competing priorities Systems Preferred: Experience with T-SEL, Python, or R for data preparation or supporting advanced analytics initiatives Understanding of HR data models, Databricks, Microsoft Fabric, and cross-brand semantics Nice to Have: Experience in any of the following SuccessFactors Modules: SuccessFactors Employee Central SuccessFactors Learning SuccessFactors Recruiting & Onboarding SuccessFactors Talent SuccessFactors Employe Central Payroll (ECP) Core/ Premium ME/NC/PA/SC Salary Range: $92,640 - $138,960 IL/MA/MD/NY Salary Range: $106,480- $159,720 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. #LI-ES1 At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description: 1) 7+ years of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data Analysis 3) Good amount of experience with SQL / Oracle 4) Health care claims data knowledge (Good To have) 5) Health care or Life science domain knowledge is Must Additional Information Good comm skills are a big priority Duration: 6 Months

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. The Senior HR Data Visualization Analyst is the primary owner for the HR data product lifecycle within Power BI. This role works closely with Data Governance, Data Model Management, and the Report Lifecycle and Delivery team to ensure that every HR reporting product meets enterprise quality standards, satisfies business requirements, and provides a consistent associate experience across all brands. This analyst serves as the visualization lead for HR Power BI reporting and is responsible for ensuring that all HR reports follow standard design, metadata, navigation, and accessibility expectations. They support the entire lifecycle from business requirement intake, to peer review, to UAT, to final deployment. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA, Carlisle, PA, Scarborough, ME, Hyattsville, MD and Mauldin, SC. Principle Duties and Responsibilities (essential functions) * Partner with the Reporting Analysts under the Manager of HR Reporting to review and confirm business requirements, ensuring they are documented, understood, and feasible. * Translate business requirements into visualization specifications that consistently leverage certified semantic models from Databricks and Fabric. * Guide reports through the full lifecycle: intake, build, peer review, UAT, certification, and deployment. * Conduct final checks on HR Power BI reports to ensure the end user experience is intuitive, accessible, and aligned to enterprise expectations. * Validate dynamic elements in reports, including dynamic branding, dynamic messages, and notification banners that alert users to data issues or refresh problems. * Review navigation, slicer behavior, field parameters, tooltips, and responsiveness to confirm the report behaves correctly across security roles and brands. * Confirm that RLS and OLS rules work as intended across all data slices. * Ensure that reports follow consistent layout, visuals, and structure across all brands. * Maintain and improve a unified set of HR visualization standards, templates, and rules for Power BI report development. * Lead efforts to create a cohesive reporting identity for HR that aligns with enterprise guidelines and provides a seamless experience for end users. * Work closely with the Data Governance team to ensure all visualization practices follow enterprise data governance policies, including certified data product requirements, metadata, lineage, and access control. * Partner with the HR Data Model Management team to confirm that metrics, calculations, and fields used in reports match certified definitions and enterprise data models. * Participate in peer review cycles with technical leads, providing feedback on semantic model design, DAX logic, and overall report alignment. • Serve as the final checkpoint before any HR reporting product is deployed to production. • Confirm that all business requirement checklists are completed, including UAT signoff, peer review documentation, and security validation. • Identify recurring issues in reporting and work with other towers to improve upstream data quality or model structure. • Ensure that all HR reporting products remain compliant with enterprise data governance policies. Basic Qualification Differentiating Criteria Level C Interpret policy/processes The Senior HR Data Visualization Analyst interprets and applies HR data governance policies, Power BI development standards, and reporting lifecycle processes. This includes understanding how enterprise governance rules, naming standards, security practices, and certification requirements guide the creation and deployment of HR Power BI products. The analyst ensures that every report follows approved processes for intake, peer review, UAT, documentation, and release. Level of Analysis The role requires an advanced level of analytical thinking. The analyst must translate business requirements into accurate visual models, evaluate the correctness of DAX measures, diagnose complex data issues, and validate report behavior across multiple security roles. The analyst must also evaluate whether a report meets business intent, communicates insights clearly, and supports accurate HR decision making. This requires synthesizing technical, business, and usability analysis to produce a complete and accurate reporting product. Subject matter expert for Brands, Business Services, and IT related to HR data, systems and analytics. The analyst serves as a subject matter expert on HR reporting and visualization standards across all ADUSA brands. The role requires deep understanding of HR metrics, Power BI capabilities, and how brands and COEs consume information. The analyst collaborates with Business Services, IT BI, Data Governance, and Data Model Management to ensure that reports use certified data, follow governance rules, and maintain unified experience across brand reporting. This expertise is used to guide analysts, business partners, and IT contacts on best practices and reporting requirements. System Configuration/Support The analyst provides advanced configuration, testing, and support within Power BI and Fabric workspaces. This includes applying RLS and OLS rules, managing workspace content, designing navigation structures, validating dynamic elements, and ensuring that each report performs correctly. The role provides technical support to Reporting Analysts during development and helps troubleshoot issues related to data models, report rendering, and end user access. The analyst does not configure HR systems but works closely with HRIS Data Management and IT to maintain alignment between source data and reporting products. Education Bachelor's Degree or equivalent combination of education and related work experience. Power BI or Related Certification Required SuccessFactors Certification Preferred MBA preferred Experience Seven or more years of HRIS, HR analytics, or enterprise reporting experience in a multi-brand environment Three or more years of Power BI development (or equivalent BI platform) at enterprise scale Proven experience working across multiple HR domains (Core HR, Recruiting, Learning, Payroll, Kronos) and enabling actionable insights for senior business stakeholders Skills Advanced Power BI configuration, DAX, M Query and workspace management Demonstrated ability to design intuitive dashboards and translate HR metrics into compelling visual stories for non-technical audiences Strong experience optimizing dashboards for performance and scalability in a shared service/multi-brand setting Excellent collaboration skills across Data Governance, Data Model Management, HR Operations and IT BI functions Proficiency in SQL (T-SQL or similar) and understanding of semantic model architecture and data modelling principles Preferred: Experience with T-SEL, Python, or R for data preparation or supporting advanced analytics initiatives Understanding of HR data models, Databricks, Microsoft Fabric, and cross-brand semantics Competencies Maintain high level of confidentiality Able to handle competing priorities Systems Preferred: Experience with T-SEL, Python, or R for data preparation or supporting advanced analytics initiatives Understanding of HR data models, Databricks, Microsoft Fabric, and cross-brand semantics Nice to Have: Experience in any of the following SuccessFactors Modules: SuccessFactors Employee Central SuccessFactors Learning SuccessFactors Recruiting & Onboarding SuccessFactors Talent SuccessFactors Employe Central Payroll (ECP) Core/ Premium ME/NC/PA/SC Salary Range: $92,640 - $138,960 IL/MA/MD/NY Salary Range: $106,480- $159,720 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. #LI-ES1 At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

Jiffy.com is looking for a Data Analyst to join our innovative team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help drive strategic decisions across our operations. Your role will include evaluating data from various sources to provide actionable insights that enhance our ecommerce platform, customer experience, and overall business performance. Key Responsibilities: Collect, clean, and organize data from different sources to prepare it for analysis. Analyze datasets to identify trends, patterns, and insights that inform business strategies. Create reports and dashboards to visualize key performance indicators for various teams. Work collaboratively with cross-functional teams to understand their data needs and provide analytical support. Develop and maintain documentation for data processes and procedures. Assist in designing experiments and A/B tests to improve customer engagement and conversion rates. Identify opportunities for process improvements based on insights derived from data analysis. Requirements Qualifications & Skills: Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field. 3-6+ years of experience in data analysis or a similar role, preferably in e-commerce or a related industry. Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI). Strong analytical skills with attention to detail and the ability to interpret and communicate complex data. Good problem-solving skills and the ability to work with large datasets. Strong written and verbal communication skills to present findings clearly to stakeholders. Ability to work independently as well as in a team-oriented environment. Familiarity with statistical analysis and data-driven decision-making. Preferred Qualifications Proficiency with advanced SQL (e.g., complex joins, window functions, query optimization). Experience with Python or R for data analysis, automation, or statistical modeling. Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Experience building and maintaining dashboards and automated reports for business stakeholders. Experience working with large-scale datasets and optimizing data workflows. Understanding of key ecommerce metrics such as conversion rate, average order value (AOV), customer lifetime value (LTV), and retention. Experience translating business questions into analytical frameworks and actionable insights. Why You Will Love Working At Jiffy Opportunity to grow company market share through innovation in the rapidly evolving e-commerce, AI, and image processing space. Thrive in a collaborative, high-growth environment where your ideas directly influence how Jiffy evolves as a leading e-commerce destination. High visibility and influence in solving complex problems and delivering cutting edge solutions resulting in direct impact on Jiffy's seamless customer experience. Access to career development opportunities in a company that invests deeply in professional growth. Location: Remote or Hybrid in Irvine CA. Salary: 80-100k Benefits What We Offer Compensation & Growth: Competitive salary, equity opportunities, and performance-based bonuses. Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy. Retirement Planning: 401(k) Wellness Support: Annual wellness benefits to help you stay healthy and balanced. Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup. Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with! Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description This person would have experience in Data Analysis, data warehousing, SSRS, Business Objects, T-SQL, Testing and Healthcare experience. Additional Information GOOD COMMUNICATION SKILLS DURATION: 10+ Months Contract INTERVIEW: Phone & Skype

We are seeking a People Data Analyst to join our People Analytics team and help transform how we use people data. In this role, you will build and maintain dashboards and reports, manage automated HRIS reporting, and streamline HR processes through automation. The ideal candidate is detail-oriented, curious, and always looking for a better way to make data more accessible and actionable. You will work closely with HR and other departments to ensure people data supports informed decisions and efficient workflows. Essential Duties * Build, maintain, and enhance HR dashboards and recurring reports to communicate key people metrics. * Develop and implement automation solutions to streamline manual HR reporting and processes. * Schedule, monitor, and maintain automated HRIS report deliveries. * Analyze HR data to identify trends and provide clear summaries to stakeholders. * Collaborate with HR team members to understand reporting needs and translate them into scalable solutions. * Support ad-hoc data pulls and report requests using SQL, Excel, and related tools. * Other duties as assigned. Qualifications * Bachelor's degree in Analytics, Information Systems, Human Resources, Business, or a related field. * 0-2 years of experience in a data analyst or reporting role (internships or academic projects welcome). * Basic experience with SQL and Excel; familiarity with Databricks or similar platforms is a plus. * Strong attention to detail and ability to ensure data accuracy. * Effective communication skills to explain data clearly to non-technical stakeholders. * Ability to learn new tools quickly and work collaboratively. Preferred Qualifications * Experience with Power BI or Tableau for dashboard development. * Experience with HRIS reporting tools (e.g., UKG, Workday, ADP) and scheduled reporting. * Familiarity with workflow automation tools, such as Power Automate. * Some experience with R and/or Python. Corporate Summary: At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922. Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends." Why work for us? Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education and wellness programs. Equal Opportunity Employer At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Unleash your potential as a Data Quality Analyst at Monster Energy, where you'll supercharge our data management process! Be the ultimate speedster in organizing and analyzing data for flawless, timely, and reliable reports that drive our epic business decisions. You'll be the first line of defense, training data analysts on all things new and shiny. Craft killer training materials like MU courses and presentations, and dive into massive data sets with your razor-sharp critical thinking. Master our reporting and data systems, making game-changing recommendations with a focus on volume reporting and call point management. As the data champion, guide business initiatives and mentor a powerhouse team of analysts, making a legendary impact on Monster Energy's data journey! The impact you'll make: * Develop data quality and standards: These are based on analytical research to avoid similar problems in the future. These standards will include building data validation procedures, quality checks and profiling reports. Once created, it is their duty to ensure adherence to regulatory requirements, data governance and documentation workflows. * Work with stakeholders and Customers: This could entail informing decision-makers about the implications of issues, working with data stewards to resolve data quality problems or creating educational resources to help other organization members and clients. * Data Cleaning and Transformation: Extract, Transform and Load data. Cleanse and transform data to improve its quality and consistency. Implement data cleansing techniques such as standardization, normalization, and deduplication. Develop and execute data quality rules and scripts to automate data cleansing processes. * Analyses data quality issues: When problems with data integrity are discovered the Data Quality Analyst will analyze and determine the root cause. This may involve working with other SMEs of the organization such as data stewards to understand how the data is collected, processed, and stored. * Data Validation and verification: Validate data against business rules and industry standards. Verify data accuracy through cross-referencing. Implement data validating procedures to ensure data integrity. * Identifying data quality issues: This entails using a variety of tools and techniques such as data profiling and cleansing. It is likely that they will work with other SMEs to develop metrics that can be used to measure the accuracy, completeness, and consistency of the data. * Monitor data quality: This amounts to assessing and reviewing the data to ensure that it meets the organization's standards. This may involve developing and running tests or using dashboards to track the health of the data. * Collaborate with other data professionals: To ensure that data quality is integrated across the entire data lifecycle, it is necessary for them to work closely with other professionals including data analysts and engineers. This may involve collaborating on data modelling and working with data architects to ensure that the structure and quality is considered during the designing and implementation of systems. * Create and distribute ad-hoc reports, standard reports, and dashboards based on requestor's detailed requirements. * Supports Leadership with ad-hoc assignments. Who you are: * Bachelor's Degree, preferably in statistics, computer science, or business administration * 3-5 years experience of in-depth analytical and use of reporting tools with large data sets. * 3-5 years of experience in related role. * Proficient in MS Office with highly developed skills in Excel. Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information. Proficiency in Python, SQL and power BI. * Ability to use and learn a variety of query and reporting tools * Ability to respond to requests accurately and in a timely manner * Ability to identify issues within highly detailed data * Ability to develop a solution and/or business process * Effective interpersonal and communication skills * Highly effective analytical and problem-solving skills - Sees multiple relationships between different sources of data, identifying several likely causes or consequences of a situation. Thorough understanding of Big Data Analytics and processes. * High degree of accuracy and attention to detail. * Ability to work in group dynamics and stand out during individual projects * Good time management skills * Strong multi-tasking abilities Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Rev up your career as a Material Master Data Quality Analyst at Monster Energy, where you'll ensure our data roars with integrity, accuracy, and consistency! Dive into the action by identifying, analyzing, and crushing data quality issues, all while developing rock-solid controls. You'll collaborate with cross-functional teams to keep our data standards high and mighty. Your mission? To ensure our product components and processes are fueled by reliable data, driving effective decision-making across the Monster universe. Get ready to unleash your analytical prowess with the unstoppable energy of Monster! The impact you'll make: * Perform data profiling and cleansing activities to identify and document data quality issues. * Develop metrics and key project indicators (KPIs) to measure the accuracy, completeness, and consistency of material master data; Work with subject matter experts (SMEs) to identify root causes of data inconsistencies. * Analyze data quality issues to determine their origins and potential impacts; Create detailed reports outlining findings, recommendations, and implemented solutions. * Collaborate with data stewards and other stakeholders to address the root causes and implement corrective actions. * Define and implement data quality rules, validation procedures, and quality checks tailored to material master data. * Develop profiling reports and ensure adherence to data governance policies, regulatory requirements, and organizational workflows; Maintain comprehensive documentation of data quality rules and processes. * Regularly monitor data quality metrics and dashboards to assess data health and identify areas for improvement; Conduct regular audits to ensure material master data meets organizational standards. * Work closely with decision-makers to convey the impact of data quality issues and present actionable solutions; Partner with data stewards, SMEs, and other organizational members to resolve data quality problems effectively. * Provide training and educational resources to stakeholders to promote data literacy and governance. * Collaborate with data analysts, engineers, and architects to ensure that data quality is a key consideration throughout the data lifecycle; Participate in Agile or similar project management workflows to enhance data systems and ensure compliance with data quality standards. Who you are: * Prefer a Bachelor's Degree in the field of -- Data Management, Data Analysis, Data Science or related field of study * Additional Experience Desired: Between 3-5 years of experience in data analysis, data management or data science * Additional Experience Desired: Minimum 1 year of experience in data analysis, data profiling, root cause analysis, and data quality improvement * Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SQL, Python * Preferred Certifications: N/A * Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program. Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** Responsibilities Project Scope: * Automate Quality Metrics: Design and implement processes to extract, transform, and load (ETL) source data into usable formats, reducing manual reporting effort. * Develop Interactive Dashboards: Build a Power BI dashboard that provides real-time visibility into quality performance and supports business decision-making. * Create AI-Based Tools: Develop an AI-driven interface to assess risks and predict potential quality failures, leveraging machine learning concepts. * Collaborate Across Teams: Work closely with IT to secure data access and integrate enterprise systems, ensuring compliance with security and governance standards. * Deliver Business Impact: Provide solutions that improve operational efficiency, enhance data accuracy, and support continuous improvement initiatives. What you'll gain: This internship offers a unique opportunity for the student to apply classroom knowledge to real-world challenges in data analytics, automation, and AI. The intern will gain hands-on experience working with enterprise systems and MS365 tools to automate quality metrics, develop interactive dashboards in Power BI, and build AI-driven solutions for risk assessment and predictive quality analysis. They will collaborate with IT and business teams, gaining exposure to cross-functional processes and decision-making. This experience provides practical skills in high-demand areas, portfolio-worthy deliverables, and valuable networking opportunities-preparing the student for a successful career in data science, analytics, or technology-driven business roles. The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements. Qualifications * Data Science / Data Analytics: For expertise in data transformation, visualization, and predictive modeling. * Computer Science: For strong programming skills and familiarity with automation and AI/ML concepts. * Additional Preferred Skills & Tools: * Proficiency in Power BI, Excel, and MS365 tools. * Familiarity with ETL processes and data transformation. * Basic understanding of AI/ML techniques for predictive analytics. * Strong communication and collaboration skills for working with IT and business teams. * Must be able to commute and work on-site 5 days a week. * Must be currently enrolled as a fulltime student at an accredited four-year college or university * Experience with MS Project, Excel and PowerPoint. * Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken. Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation #LI-VK1 REQ-153358