Top Data & Analytics Jobs

Design, build, and optimize Microsoft Fabric-based lakehouse solutions. Develop scalable ETL/ELT pipelines and Spark notebooks, implement medallion architectures, support CI/CD, governance, lineage, and client-facing collaboration for cloud analytics projects.

Lead finance technology and data enablement engagements for CFO clients: design cloud-based data stacks, build ERP/EPM-driven reporting and dashboards, manage ETL and analytics, provide strategic advisory, run project delivery, and grow the practice through hiring and upskilling.

Senior Exasol data engineer to design, build, optimize, and validate SQL-based data pipelines for healthcare analytics. Responsibilities include complex query tuning, extracting/staging from SQL Server, chart validation, applying clinical terminologies, quality measure development, and maintaining disciplined version-controlled engineering practices.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.

Provide strategic prospect intelligence, portfolio management, and fundraising analytics to optimize major, principal, and planned-giving pipelines. Produce executive briefings, campaign forecasting, KPI dashboards, and support AI-assisted prospect identification while partnering on CRM data health and training gift officers in cultivation strategy.

Design, build, and maintain scalable ETL/data pipelines and an authoritative Lakehouse using Databricks and cloud platforms. Collaborate on data platform strategy, implement CI/CD, model data, refresh dashboards, apply advanced analytics (LLMs/AI) to unstructured data, and support post-award reporting to improve grant program outcomes.

The role involves leading data engineering efforts, defining datastore infrastructure, and optimizing data flows for scalable applications. Responsibilities include database design, managing cross-application projects, and consulting on data technologies. This position requires strong communication skills and extensive experience in data architecture and governance.

Analyze structured and unstructured data to produce actionable insights for a lending business vertical. Manage daily performance metrics, build analytical models and frameworks, recommend strategies, track initiative financial impact, and collaborate with Marketing, Sales, and Product. Use SQL, Python/R, Tableau and Snowflake to monitor full-funnel performance and drive revenue optimization.

Design, build, and maintain data warehouses and ETL pipelines using Azure SQL and Azure Data Factory. Collaborate with analytics and business partners to define requirements, improve data quality/governance, run migrations from on-prem SQL, optimize stored procedures and replication, support CI/CD for multiple environments, and document work in Jira.

Serve as an IT-business liaison to elicit, document, and translate requirements into functional specifications, lead process modeling and testing, support ERP and WMS implementations, create BI visualizations and KPIs, assist change management, mentor junior analysts, and support project delivery across Agile and waterfall lifecycles.