Top Data & Analytics Jobs

Analyze purchasing opportunities and market trends to prevent stock outs and pricing losses. Collaborate with QC and sales, create purchase orders, produce regular reports, and support data-driven decision making.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Analyze product and business data to generate actionable insights, conduct hypothesis-driven investigations and A/B tests, build business intelligence dashboards and alerts, recommend analytics tools, and track lifetime value and cohorts. The role partners with developers, the Head of Growth, and executive leadership to influence product strategy and live operations.

Lead product analytics to measure and improve product and platform performance. Build data solutions and self-service tools, perform BI and visualization, mine diverse data sources, ensure data quality, lineage, and governance, and collaborate with product, tech, and design teams to deliver AI-enabled insights that inform strategy.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Design and implement logical and physical data models, extract/migrate and stage large datasets, perform data integration/matching and analysis, define KPIs and metrics, support online channel analytics, and deliver insights and documentation to stakeholders.

Analyze large and unstructured datasets to identify patterns, develop data-gathering applications, build performance indicators, document requirements and procedures, optimize inventory and supply processes, and create visualizations and quantitative analyses to support decision making.

Owns data operations supporting client reporting, campaign delivery, and month-end billing. Troubleshoots data and backend issues across Salesforce, Fivetran, Snowflake, Sigma, and partner platforms; builds workbooks, views, models, dashboards, and custom analyses; manages permissions, onboarding, data feeds, and external data delivery; resolves campaign, reporting, reconciliation, attribution, and data-quality issues; automates processes and coordinates cross-functional resolution.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

Perform end-to-end data analysis to support business strategy and operations. Responsibilities include data mining, aggregation, trending, inventory and program analysis, platform performance/milestone analytics, data governance, testing controls, monitoring data quality, and recommending policy and standards to improve operational performance.

Develop, test, and maintain analytics and reports for pharmacy operations. Translate designs into code, validate reports, document business rules and logic, and support ad-hoc and workplan analytics using SQL and Tableau.

Perform data aggregation, statistical analysis and data mining. Design, develop and maintain ETL processes to extract customer data from ERP, cleanse and standardize it, and load into Salesforce.com. Work with clients and project leads to define analytical requirements. Temporary 2-month role based in Golden Valley, MN; needs immediate start.

Analyze and interpret customer and business data using aggregation, statistical analysis, and data mining. Perform ETL: extract, cleanse, standardize customer data from ERP systems and load into Salesforce. Work with clients and project leads to identify analytical requirements and maintain business solutions under general supervision.

Perform investigations and root-cause analysis on trapped parts to reduce on-hand inventory. Use MyWorkShop (MWS) to examine ECRs/ECOs, identify causes, provide recommendations, and collaborate with product lifecycle, engineering, and sourcing teams to drive remediation.

Perform advanced web analytics to evaluate marketing and product performance using SiteCatalyst. Query and analyze data with SQL, present insights to stakeholders using Excel and PowerPoint, and collaborate with business partners to drive data-informed decisions. Contract role, SiteCatalyst certifications and Netezza experience preferred.

Senior Data Analyst with 7+ years experience performing data profiling and analysis, strong SQL/Oracle skills, and required healthcare or life sciences domain expertise. Responsible for analyzing data quality, profiling datasets, querying for insights, and communicating findings. 6-month contract; strong communication skills required.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Perform data analysis and data warehousing tasks, develop and maintain SSRS reports and Business Objects artifacts, write and optimize T-SQL, execute testing, and apply healthcare domain knowledge. Contract role with strong communication skills required.

Perform data analysis and collection to meet IHC/CCAR regulatory requirements, source and enrich data, manage provider relationships, develop business specifications, and act as single point of contact for IHC projects.

Design, develop, and support analytics, dashboards, and reports by extracting and blending data from data warehouses and external sources. Perform statistical analysis, validate datasets, translate business requirements, and deliver actionable forecasts and decision-support solutions.

Analyze inventory for migration, participate in development team meetings, compare current and proposed business processes, review and recommend security updates, assess risks with management, and propose mitigation solutions to the project team.

Onsite Business Intelligence Developer supporting stakeholders to gather BI requirements, identify data sources, design BI processes, build reports, analyze processes and requirements, perform testing, manage project phases, and deliver data reporting using Tableau, SSRS and T-SQL.

Onsite senior data analyst supporting data architecture and ETL. Design data mappings, perform data modeling, ensure data quality, document database entities, and support SQL Server repositories and application development teams.