Top Data & Analytics Jobs

Lead financial reporting, forecasting, and variance analysis to drive retail performance. Build data models and dashboards (Excel, Power BI, SQL), analyze channel, product, and promotional performance, deliver executive recommendations, and partner cross-functionally to support strategic initiatives and ad hoc financial modeling.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Lead and grow an embedded analytics organization across growth, product, markets, finance, risk, and institutional. Define analytics strategy and standards, partner with business leaders to prioritize work, ensure consistent metrics and rigor, produce company-level reporting, and develop analysts into senior contributors and future leaders.

Lead and run Alpaca's data governance and data security program across the lakehouse and analytics stack. Build policies, data classification, entitlement reviews, access controls, metadata/lineage, data quality standards, vendor and use-case reviews, audit evidence for SOC2/ISO27001, and support cross-border sensitive data requests while partnering with Data Engineering, Data Science, Security, Privacy, and Legal.

Design and deliver enterprise Master Data Management solutions. Define solution architecture, data models, governance frameworks, integrations, and testing strategies. Lead technical teams, provide mentorship, validate infrastructure, optimize performance, and collaborate with stakeholders to ensure scalable, maintainable MDM implementations across clients.

Build and maintain production dbt models on Databricks as the organizations source of truth. Ensure data quality via testing, CI/CD, and documentation. Create Databricks dashboards and semantic metrics, support external reporting, and partner with engineering and analytics teams to turn business problems into durable data products. Drive AI-native workflows using tools like Cursor and Claude Code.

Design, develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks with schedulers (Autosys/Control-M/Tidal), configure PowerCenter grid, use IDQ/MDM and Informatica Cloud, perform performance tuning, Unix scripting, Teradata/SQL work, and data cleansing, standardization, and profiling.

Develop and maintain Logi Analytics reporting solutions: create Logi objects/attributes, build data views, integrate with SQL Server and Oracle, debug/troubleshoot, and collaborate with analysts and business users to enable ad-hoc reporting.

Build and operate production data infrastructure: ingest, transform, and route large-scale streaming and batch data from heterogeneous enterprise sources; design ontology/semantic models and tuple/graph representations; ensure isolation, data quality, observability, and low-latency delivery for ML and product teams.

Produce monthly department and IT financial reports using Clarity-sourced data; develop and maintain dashboards and web-catalog reports; perform ad-hoc analysis, CapEx reporting and compliance; manage data points, user roles, and reporting infrastructure; support IT/Finance with reporting, administration, and documentation.