Data Analytics Jobs

The Analyst, People Analytics & Reporting role serves as a subject matter expert within the People Analytics team, partnering with HR leadership and IT to design and maintain Power BI dashboards and data solutions. Key responsibilities include managing Snowflake datasets, developing custom reports, and leading the evolution of analytics toward AI-enabled, automated insights through prompt engineering and self-service tools. The position also involves ensuring data governance, supporting system testing, and providing training for end-users. This opportunity is appealing for professionals seeking to work at the intersection of traditional reporting and emerging AI technologies within a collaborative global environment. The role offers a chance to drive strategic change while maintaining expertise in complex data architectures and fostering strong cross-functional relationships.

The Analytics Manager role leads a team within a high-performance healthcare and insurance analytics department, serving as a strategic bridge between business stakeholders and data architecture. Key responsibilities include managing team performance and project assignments, overseeing the delivery of complex weekly and monthly reports, and leading end-to-end data migration projects to modern cloud architectures. The position also involves architecting enterprise dashboards and defining long-term analytics roadmaps. This opportunity appeals to professionals seeking a collaborative culture at a fast-paced Inc. 500 company, offering significant growth potential and the flexibility of a remote work arrangement with provided Apple equipment.

This entry-level Associate Data Scientist position is part of RRS Group's 2026 New College Graduate program, designed for recent graduates with a strong foundation in data analysis and machine learning. The role involves collaborating with cross-functional teams to extract and analyze complex datasets using SQL, Python, and Spark, while developing predictive models and applying Generative AI techniques to solve business problems. Key responsibilities include performing exploratory data analysis, building visualization dashboards, and ensuring responsible AI practices through ethical data usage. The position offers an appealing opportunity to work with modern AI-assisted workflows and grow within a data-driven culture that values innovation and technical proficiency.

This senior data infrastructure role at 10Beauty, a robotics startup in Burlington, MA, focuses on building the foundational data architecture for the world's first autonomous manicure machines. The position involves designing scalable ETL pipelines to process high-volume operational and machine-generated data, architecting the company's data warehouse, and establishing governance and monitoring systems to support analytics and future AI initiatives. The role offers significant ownership as the first hire in this domain, allowing the engineer to shape data strategy from the ground up while collaborating with robotics and product teams. The opportunity is appealing for its chance to work on cutting-edge autonomous technology in a fast-growing environment with a mission to redefine beauty robotics. The position is based on-site in Burlington.

This Sales Operations & Business Analytics Intern role supports the sales organization at a growing PEO company through data analysis and operational initiatives. The position involves tracking and reconciling commission data within CRM systems, building reports and dashboards using Excel and Power BI, and validating sales data to drive decision-making. The intern will also assist with competitive research and maintain system accuracy while collaborating with cross-functional teams. The program offers a flexible schedule of 30 to 40 hours per week in Saint Petersburg, Florida, with opportunities for extended engagement. Key appeals include hands-on experience with real business data, weekly gatherings with leadership, and a supportive environment designed to facilitate a smooth transition into a professional career.

This Data Fabric Engineer role at KLA focuses on designing and managing end-to-end solutions within the Palantir Foundry platform to support the global semiconductor manufacturing ecosystem. The position involves building scalable data pipelines, developing ontologies to model business entities, and integrating Foundry with enterprise systems like SAP and Snowflake using Python and SQL. Key responsibilities include ensuring data governance, monitoring pipeline health, and collaborating with cross-functional teams to translate requirements into operational analytics. The role is appealing due to the opportunity to solve complex problems in a highly innovative environment where 15% of sales are reinvested in R&D. It offers a chance to work with expert teams of physicists and engineers on cutting-edge technology, with a primary location in Ann Arbor, Michigan.

The Associate Director, Data Engineering role within Omnicom Health Group's Digital & Analytics team focuses on developing analytics products and supporting market access strategies for pharmaceutical clients. Key responsibilities include writing code in R or Python, managing SQL databases, building data pipelines on cloud platforms like AWS or Azure, and creating interactive dashboards using tools such as Tableau or Power BI. This position appeals to candidates seeking to deepen their expertise in the pharmaceutical industry while working in a consultative capacity. The role offers significant career growth potential through the company's extensive network, allowing professionals to pivot across different organizations and build diverse skills. The environment emphasizes inclusive team development and the opportunity to work with emerging technologies like AI and LLM models.

The Data Scientist II role focuses on Generative AI within a pioneering team dedicated to transforming raw data into actionable intelligence and scalable agentic systems. Key responsibilities include designing and implementing Gen AI-powered agents to streamline workflows, optimizing internal evaluation frameworks for reliable model performance, and leading experiments to balance efficiency with cost. The position offers the opportunity to mentor junior staff, collaborate across engineering and product functions, and drive cultural adoption of AI tools. This role is appealing for its focus on cutting-edge technology, the chance to shape organizational innovation, and a supportive environment that values continuous learning and advanced technical growth.

This role within Apple's Services Finance Data Science and Engineering team focuses on building and optimizing financial data platforms to support product innovation. The position involves partnering with business stakeholders to translate complex requirements into data-driven solutions, utilizing AI coding assistants and agentic frameworks to rapidly prototype and deploy analytical models. Key responsibilities include designing scalable analytics pipelines, conducting rigorous statistical analysis, and creating self-serve dashboards that empower decision-making. The role appeals to candidates who thrive in a collaborative culture of excellence and offers the opportunity to work with cutting-edge AI tools to accelerate delivery. The position requires a strong background in Python, SQL, and machine learning, with a focus on shipping production-ready solutions in a dynamic environment.

This Data Infrastructure Engineer role supports the design and maintenance of enterprise data infrastructure for complex business and engineering operations. The position focuses on building scalable data pipelines, integrating data from diverse sources, and ensuring data integrity across large datasets. Key responsibilities include developing efficient data transformation workflows, implementing quality control processes, and collaborating with cross-functional teams to deliver actionable insights. The role offers the appeal of working within a collaborative technical environment that drives digital transformation and enterprise-scale analytics. Candidates will utilize cloud platforms and advanced analytics tools to solve complex problems in a fast-paced setting.

The Manager, Analytics Services role leads a multidisciplinary team dedicated to enhancing consumer and patient experiences within the call center and healthcare sectors. Key responsibilities include defining strategic analytics requirements, designing scalable data solutions using tools like Databricks and Power BI, and driving process improvements to optimize operational performance. The position offers the opportunity to mentor staff, manage complex projects, and influence executive decision-making through data-driven insights. This role is appealing for its focus on clinical excellence and continuous learning within a supportive culture that values diversity and inclusion. The position is fully remote, allowing professionals to work from eligible states while contributing to a mission of improving health every day.

This senior leadership role at a Fortune 500 energy company involves directing the architecture and evolution of an enterprise data platform that powers analytics, operations, and AI initiatives across the organization. The position requires defining a multi-year strategy for a modern data stack including Snowflake and dbt, while championing agentic development practices and AI-assisted engineering workflows. Key responsibilities include establishing data governance and quality standards, managing cloud infrastructure costs, and leading a federated team of engineers and managers. The role is appealing for its opportunity to shape the future of data at a major industry player, offering a collaborative culture that values innovation, professional growth, and the chance to drive significant digital transformation.

The Pricing Analytics Manager role at Uline's corporate headquarters involves leading the pricing analytics team to drive strategic discounting and sales support. Key responsibilities include collaborating with executive leadership to refine pricing strategies, enhancing reporting capabilities using BI tools, and mentoring analysts on data interpretation. The position requires directing cross-functional projects with Sales, Merchandising, and Operations while facilitating quarterly steering committee meetings. This opportunity appeals to professionals seeking career stability within a family-owned company with over 45 years of success. The role offers a comprehensive benefits package including health insurance, a 401(k) match, and tuition assistance, alongside unique on-site perks like a fitness center and walking trails. The position is fully on-site in Pleasant Prairie, Wisconsin.

The Strategic Analytics Manager role at allwhere involves building and owning the company's analytics function to support rapid global scaling. The position requires embedding across Operations, Supply Chain, GTM, Finance, and Tech to define data structures, implement scalable reporting tools, and drive operational efficiency through actionable insights. Key responsibilities include establishing a Data Service Model, leading cross-functional initiatives on margin and pricing, and translating complex datasets into strategic recommendations for leadership. This opportunity appeals to candidates seeking high ownership in a D.E. Shaw-backed startup, offering the chance to build a function from the ground up with a clear path to leadership. The role provides direct exposure to company strategy and the flexibility to shape the data culture during a pivotal growth stage.

The Senior Data Scientist II role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves developing NLP and large language model strategies, defining agentic workflows for complex multi-step tasks, and establishing robust evaluation metrics for hybrid search systems. Key responsibilities include analyzing large-scale legal datasets, translating experimental results into product recommendations, and mentoring junior team members. This opportunity appeals to professionals seeking to lead technical initiatives in a global organization committed to ethical AI and societal impact. The role offers a collaborative environment where data scientists work closely with engineers and legal experts to build scalable, customer-facing tools.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

This Data Scientist role at Booz Allen involves building advanced technology solutions and implementing data engineering activities for mission-driven projects. The position focuses on developing scalable data pipelines, creating ETL/ELT workflows, and processing structured and unstructured data to support business analysis. Candidates will collaborate with a multi-disciplinary team in a fast-paced, agile environment to design and maintain platforms that make disparate data meaningful. The role appeals to those seeking professional growth through exposure to cutting-edge tools like Palantir Foundry and opportunities to work on impactful defense and government initiatives. The work arrangement offers flexibility with remote, hybrid, or onsite options depending on specific project needs, supported by a people-first culture that values collaboration and continuous learning.

This Data Scientist role leads bioinformatic and data science initiatives focused on single-cell RNA-seq and TCR sequencing within a cell therapy research team. Key responsibilities include designing experiments, applying advanced machine learning to identify cell states and biomarkers, and integrating multi-omics data to support clinical decision-making. The position requires building scalable analytical pipelines in Python and R while collaborating with biologists and clinicians to translate complex findings into actionable insights. The opportunity is appealing for its focus on cutting-edge immunology research, the chance to develop custom tools for regulated environments, and a collaborative culture that values scientific innovation and professional growth.

This full-time Data Scientist Level 3 role supports a Department of Defense client in Suitland, Maryland, within a high-performing science team. The position focuses on applying advanced machine learning, deep learning, and natural language processing to build sophisticated data models. Key responsibilities include leading and mentoring junior data scientists, deploying projects on cloud platforms like AWS and Azure, and establishing metrics to evaluate AI performance while adhering to responsible AI policies. The role offers up to 10% local travel and requires a TS/SCI clearance. It is appealing due to CACI's culture of integrity and trust, which provides autonomy through flexible time off and robust learning resources. The position emphasizes continuous career growth and the opportunity to contribute to critical national missions alongside a collaborative, mission-driven environment.

This Product Manager role within LexisNexis Legal & Professional focuses on delivering AI-enabled web analytics features from concept to launch. The position involves defining product roadmaps, gathering customer use cases, and leading cross-functional teams to drive data-backed enhancements and go-to-market strategies. Key responsibilities include mentoring team members, resolving defects, and communicating product vision to stakeholders. The role appeals to candidates seeking to work with cutting-edge generative AI in a global environment, offering opportunities for professional growth, peer development, and a collaborative culture dedicated to transforming legal practice.

This full-time Data Scientist role is based at P&G's Cincinnati General Offices and focuses on solving complex business challenges using large-scale data and advanced AI. The position involves designing and developing scalable machine learning algorithms, including Generative and Agentic AI, while performing exploratory data analysis and feature engineering on massive datasets. Key responsibilities include collaborating with engineering teams to productionize models, mentoring colleagues as a technical coach, and establishing expertise in specific data science methodologies. The role appeals to candidates passionate about interdisciplinary innovation where computer science meets hard science, offering opportunities to drive transformative business outcomes. The position requires a Master's degree in a quantitative field and proficiency in Python and cloud environments, with a strong emphasis on continuous learning and technical leadership.

This Senior Program Manager role leads a cross-functional transformation initiative to improve costing accuracy for North American Engineer-to-Order operations. The position focuses on establishing governance models and analytics frameworks to eliminate master data issues within SAP S/4HANA environments. Key responsibilities include managing program intake and prioritization, coordinating root cause analysis with subject matter experts, and driving change management across multiple manufacturing facilities. The role offers the opportunity to shape sustainable data quality standards and influence executive decision-making within a global organization. While the position requires approximately 25% travel for plant engagement, it supports a culture of sustainability and inclusion where employees can contribute to turning ambitious goals into actionable results.