Top Remote Data & Analytics Jobs in Milwaukee, WI

Lead enterprise data engineering efforts supporting defense missions. Responsibilities include prioritizing technical tasks, mentoring engineers, conducting code reviews, translating government requirements into scalable data architectures, developing Databricks ETL/ELT pipelines with Python, PySpark, and SQL, troubleshooting pipeline performance and reliability, and documenting systems. The role collaborates with government stakeholders, product owners, data scientists, analysts, and technical teams to deliver secure, high-throughput data platforms and actionable insights.

Designs and optimizes enterprise data models and Power BI semantic layers for reporting, forecasting, self-service analytics, and AI use cases. Develops dimensional models, DAX, SQL, and Power Query solutions; integrates enterprise data sources; validates data quality; optimizes performance; implements security and governance; and supports production datasets. Partners with technical and business stakeholders on requirements, documentation, metric definitions, deployment practices, and analytical solutions.

Develop and maintain business intelligence dashboards, analytics solutions, and ad hoc reports. Translate stakeholder needs into technical specifications, build and validate reporting functionality, document solutions, provide training, and support data-driven decision-making. The role requires working with large datasets and enterprise reporting environments while collaborating with cross-functional stakeholders to improve processes and deliver reliable, accessible insights.

Designs and automates data validation, profiling, testing, monitoring, and quality frameworks for multi-source cloud data. The role uses Azure Synapse, Databricks, SQL, Python, Scala, Collibra, and Profisee to detect anomalies, enforce governance, and improve data reliability. Responsibilities include developing automated test plans, analyzing structured and unstructured datasets, supporting Azure data engineering workflows, and collaborating with engineers, analysts, data scientists, and product teams. A Public Trust or Suitability/Fitness determination may be required.

Designs and maintains scalable Azure data pipelines and ETL/ELT solutions across data lakes, warehouses, lakehouses, streaming platforms, and enterprise sources. Builds integrations using Azure Data Factory, Synapse, Databricks, Spark, Kafka, and related services; applies security, governance, monitoring, and performance optimization practices. Develops Power BI dashboards, reports, data models, and visualizations, while supporting analytics and AI/ML use cases. Collaborates in Agile teams and automates deployments through DevOps and CI/CD practices.

Designs, maintains, and optimizes SQL Server databases, ETL/ELT workflows, and enterprise data pipelines supporting a federal multi-cloud analytics platform. Integrates structured and unstructured data using Azure, Databricks, Starburst, and data lakes; troubleshoots failures, tunes performance, applies data-quality and governance controls, and supports analytics, reporting, and machine-learning use cases. Translates business requirements into technical solutions and documents data products, pipelines, and operational procedures.

Leads business intelligence strategy and analytics delivery for conversational channels including IVR, IVA, and AI-powered engagement. Partners with product, engineering, operations, and business leaders to define KPIs, measurement frameworks, roadmaps, and success criteria. Mentors BI engineers, guides Agile delivery, develops Power BI dashboards and scorecards, analyzes conversational performance, and presents recommendations to senior executives.

Develop and maintain data pipelines, datasets, dashboards, paginated reports, PowerApps solutions, Power Automate workflows, and Databricks data engineering processes. Translate ambiguous business needs into scalable analytics solutions, write complex SQL, support reporting and data modernization, and contribute to AI/ML initiatives. Collaborate with technical and non-technical stakeholders while delivering actionable insights and automated workflows.

Leads the design and delivery of enterprise-scale data, analytics, AI, Microsoft Fabric, Power BI, and data-driven application platforms. Owns analytics architecture, semantic modeling, data engineering, AI integration, governance, security, engineering standards, and technical roadmaps. Drives measurable business impact through KPIs and insights while leading architecture reviews, developing reusable patterns, and building analytics engineering, BI, data science, and technical leadership teams.

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.

Designs, builds, documents, tests, and maintains large-scale data pipelines across platforms and data sources. Performs ETL and ELT, develops data quality and governance processes, and supports data security and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions. The role also provides mentorship to junior engineers and leads data collection, storage, and process automation initiatives.

Designs and maintains enterprise data architecture, including data lakes, warehouses, integrations, migrations, orchestration, and data management protocols. Partners with architects, DBAs, BI teams, product leaders, and business stakeholders to support analytics and data science. Requires deep experience with cloud data environments, Azure SQL, Microsoft Fabric, Spark, Hadoop, PySpark, SparkSQL, security protocols, and enterprise data integrations.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.