Top Data & Analytics Jobs

Leads enterprise business intelligence and analytics for Internal Audit, including Power BI dashboards, executive reporting, KPI frameworks, semantic data models, data integration, quality, governance, and advanced analytics. Translates complex data into actionable insights for senior leadership, supports risk and performance analysis, manages stakeholder requirements and delivery priorities, and mentors analytics team members.

Supports fundraising operations through gift processing, data importing, cleanup, CRM management, donor record maintenance, tax receipt distribution, and development reporting. Investigates donation-processing errors, tracks fundraising metrics and goals, maintains data accuracy, and meets project deadlines. Requires strong organization, discretion, attention to detail, communication, problem-solving, spreadsheet, database, and CRM skills, plus a bachelor’s degree or equivalent experience.

Design, develop, maintain, and optimize scalable data pipelines and cloud-based data solutions. Build relational and dimensional models for OLTP and OLAP systems, collaborate with stakeholders on enterprise reporting models, and administer data platforms for performance, scalability, and reliability. The role supports internal Finance, Manufacturing, Purchasing, and Sales teams using Azure and on-premises data technologies.

Analyzes operational data, writes and maintains T-SQL scripts, investigates data quality and process issues, fulfills ad hoc business requests, builds Power BI datasets and visualizations, and supports data governance and ETL processes in partnership with IT and data warehouse teams.

The AVP assesses how enterprise technology, application, process, and data changes affect data governance capabilities and platforms. Responsibilities include reviewing architectures, interfaces, data flows, integrations, metadata, lineage, quality, ownership, and downstream dependencies. The role partners with architects, engineers, project teams, and business stakeholders to evaluate impacts, identify gaps, manage dependencies, and determine when domain specialists are needed throughout the project lifecycle.

Analyzes borrower interactions and digital customer journeys across web and mobile channels. Defines KPIs, builds dashboards, monitors traffic and conversion, evaluates A/B tests and campaigns, validates tracking, diagnoses data discrepancies, and recommends improvements. The role also supports customer portal logic and technical issues, collaborates with development teams on tagging and data layers, maintains measurement documentation, and presents actionable findings to technical and business stakeholders.

Supports health and long-term care insurance consulting projects through data cleaning, analysis, actuarial modeling, and exhibit development. The role involves preparing client communications and presentations, documenting project files, reviewing peer work, conducting research, and communicating technical results. This temporary, full-time position requires onsite work in Eden Prairie, Minnesota, for approximately six months, with possible extension.

Collects, validates, standardizes, and analyzes commercial real estate data to produce market reports, client presentations, and actionable insights. Maintains databases, conducts field research, supports brokers and valuation efforts, handles demographic and mapping requests, and collaborates with marketing, research, IT, and GIS teams. The role also assists with special projects, software improvements, meetings, and staff training.

Monitors, audits, and analyzes Operations department activities, including payment systems, card services, reconciliations, and account processing. Produces recurring and ad hoc reports, metrics, SLAs, and interactive dashboards for management. Reviews procedural and regulatory compliance, identifies trends and errors, documents QA findings, supports audits, maintains system access matrices, and recommends process, reporting, and system improvements.

Build and maintain dbt data models in Redshift, applying software engineering practices, testing, documentation, and clear lineage. Translate business questions into reusable models, dashboards, and governed semantic metrics for analysts and AI initiatives. Support experimentation and campaign measurement, collaborate with data engineering and product teams, develop AI-driven workflows, and proactively resolve data quality issues.