Top Data & Analytics Jobs

Build scalable analytical products, data models, automation, and measurement solutions for the Individual Investors business. Apply advanced statistics, forecasting, machine learning, experimentation, optimization, and simulation to complex business problems. Use SQL, Python, cloud data warehouse practices, version control, testing, and documentation to create reliable, reusable capabilities. Partner with technical and business stakeholders, communicate insights, and improve analytical solutions through Agile delivery and engineering discipline.

Analyzes Technical Support and Field Service data to identify trends, operational issues, and customer experience opportunities. Develops dashboards, recurring reports, scorecards, and executive presentations; translates stakeholder needs into business requirements; and delivers recommendations for support effectiveness, workforce planning, and efficiency. Partners cross-functionally with Technical Support, IT, Data Engineering, Customer Success, and Commercial teams. Supports AI and data science initiatives through data preparation, exploratory analysis, and interpretation of outputs.

Analyze healthcare claims and eligibility data to identify payment anomalies, trends, and actionable insights. Build and maintain dashboards, conduct data audits, fulfill ad hoc analytical requests, automate recurring reporting processes, and communicate findings to technical and non-technical stakeholders. The role partners with account managers, clinical teams, and operational teams to support client conversations and improve healthcare cost-management outcomes.

Supports M&A acquisition integrations by collecting, cleaning, normalizing, validating, reconciling, and mapping seller data into Quench systems. Coordinates with sellers and internal teams to resolve data issues, maintain readiness trackers, prepare cutover materials, and verify migrated customer, billing, service, route, asset, and pricing data. Develops reporting and dashboards while partnering with IT on AI-enabled data intake, validation, exception management, workflow summarization, and process improvement. The role offers progression toward integration leadership within 12–18 months.

Analyzes and processes enterprise master data creation and change requests using SAP S/4HANA and Fiori. Maintains customer, vendor, material, grade, and service master data quality, accuracy, integrity, and compliance. Coordinates with cross-functional stakeholders, performs data loads and validations, resolves defects, supports audits and investigations, and contributes to operational excellence and continuous improvement initiatives while meeting service-level agreements and SOX, ITAR, and governance requirements.

Own and enhance Sigma dashboards and business intelligence reporting for the Records Retrieval business. Partner with stakeholders to translate business needs into scalable data solutions, analyze complex datasets, improve data quality and governance, define reporting standards, and support Snowflake data warehouse and modeling initiatives. Deliver actionable insights, automate reporting processes, evaluate analytics tools, and independently drive analytics projects from requirements through delivery.

Analyzes operational data and business processes to identify problems, define requirements, develop solutions, and improve data content and profitability. Manages data aggregation projects, creates reports, documents processes, trains offshore resources, and standardizes procedures. Partners with business stakeholders, vendors, and subject matter experts while applying data metrics, audit procedures, and strong analytical and communication skills.

Coordinate cross-agency initiatives, perform data analysis and visualization, develop data-driven plans, manage project implementation, engage stakeholders, identify and mitigate risks, track and report progress, and design change-management activities to improve service delivery and operational efficiency.

Leads advanced data analysis and builds scalable Tableau dashboards and reporting solutions. Develops dbt data models, collaborates with data engineering teams on Snowflake structures and pipelines, and translates business needs into analytical solutions. Ensures data quality through testing and validation, improves analytics processes, explores advanced analytics and AI opportunities, and mentors junior analysts while supporting strong stakeholder engagement and delivery standards.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Analyzes repair data to identify gaps and errors, create useful summaries, and convert findings into visual dashboards. Participates in system requirements evaluation, analysis, and implementation, and communicates insights to production teams to improve data input accuracy. The role requires SQL and database knowledge, strong analytical and communication skills, task prioritization, and flexibility for overtime. Work occurs in a warehouse environment involving noise, temperature variation, walking, bending, repetitive hand movements, and occasional lifting.

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 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.

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.

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.