Top Data & Analytics Jobs

Lead design, development, optimization, and governance of enterprise BI solutions using MicroStrategy. Build and maintain metadata, cubes, reports, dossiers and dashboards; optimize SQL, caching and performance; define BI standards and governance; collaborate with data engineering; troubleshoot platform issues; and mentor the BI team.

Lead client-facing data and analytics engagements from strategy through deployment: define data strategies, design data architectures, build scalable analytics and automation solutions, manage project scope/budgets, mentor team members, and drive business development to expand the Data & Analytics practice.

Lead BI modernization by building SQL-driven dashboards and Looker/LookML Explores, connecting Snowflake/BigQuery to LLM APIs to automate analysis, and delivering executive-ready insights. Own validation, monitoring, and reconciliation frameworks, run cross-functional alignment meetings, and mentor the analytics team on practical generative AI and prompt engineering to accelerate reporting.

Lead design and evolution of Archer's data warehouse/lakehouse architecture, define modeling and governance standards, partner with stakeholders to build reusable data models, optimize storage and compute, and maintain production-grade, reliable ETL pipelines.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

Develop, test, and maintain SQL/PLSQL and Python solutions for BI reporting in Cognos and Oracle environments. Provide production support, ad hoc reporting, data modeling, performance tuning, QA, and translate customer requirements into analytics-driven BI reports.

Build and scale ad-tech data infrastructure and pipelines ingesting SSP/DSP/GAM sources, transform log-level and CRM data into analytics-ready datasets, maintain warehouses, implement data quality and privacy controls, and support BI and analytics teams for real-time campaign insights.

Provide analytical and organizational support for operations: build and maintain KPI reports and dashboards, perform forecasting and budgeting, conduct data mining and audits, develop SQL/AWS/Snowflake data tables, create Tableau and Excel reports, analyze trends/root causes, and drive process improvements and program administration.

Own the Finance & Operations data layer: ingest and model data from systems (NetSuite, Ramp, Pigment) into Snowflake/Omni, ensure data quality and metric governance, build dashboards and reports, collaborate with Finance/Ops stakeholders, and automate reconciliation and reporting workflows.

Support data ingestion, cleaning, transformation, and wrangling. Analyze datasets to surface insights, produce basic visualizations, help develop and test data models and pipelines, and maintain project documentation and workflows for analytics solutions.