Top Data & Analytics Jobs

Leads marketing measurement, forecasting, attribution, media mix modeling, and LTV/CAC analysis across D2C channels. Builds analytical infrastructure, evaluates channel performance, supports budget allocation, and conducts cohort and retention analysis. Partners with executives, marketing, finance, product, and data engineering to translate complex findings into actionable recommendations. The role also establishes reporting for new channels, supports scenario planning, and communicates insights that guide growth and investment decisions.

Conduct quantitative research for a global, mid-frequency statistical arbitrage portfolio. Responsibilities include exploring alternative datasets, developing trading signals, improving portfolio construction, risk and transaction cost models, applying machine learning and data science techniques, writing production-quality code, and managing research projects from idea generation through implementation.

Build and maintain dbt data models and BigQuery analyses supporting supply, marketplace, and partner success operations. Investigate data anomalies, create dashboards and reporting, improve fill-rate and fulfillment performance, maintain reliable data infrastructure, and eventually develop predictive models. Collaborate with Supply, Marketplace, Partner Success, Product, and Engineering teams to translate business needs into scalable data solutions.

Analyzes business processes, operational metrics, financials, and system requirements to identify trends, resolve problems, and recommend improvements. Partners with management and cross-functional teams to implement process changes, ERP and forecasting solutions, Lean Manufacturing practices, training, and sustainable operational improvements affecting production, materials, and logistics.

Manages item, BOM, routing, and attribute master data to ensure accuracy, consistency, and governance. Performs data validation, standardization, quality checks, reporting, and analysis using Oracle and business intelligence tools. Partners with Supply Chain and cross-functional teams, maintains SharePoint content, and supports ERP implementations, upgrades, acquisitions, and data migration initiatives.

Translates business needs into technical specifications, acceptance criteria, and system requirements. Collaborates with stakeholders and development teams, leads system configuration and data mapping, documents integrations and data flows, and supports post-release validation. The role requires SQL-based data analysis, familiarity with APIs and data architecture, and experience with analytics, marketing platforms, databases, warehouses, and streaming technologies.

Conducts complex operations research and management analyses to optimize operational systems, asset management, maintenance, and capital replacement decisions. Collects and evaluates operational and financial data, develops models, forecasts, reliability-centered maintenance programs, life-cycle strategies, reports, and dashboards. Presents recommendations to management, coordinates cross-functional initiatives, supports systems and UAT processes, and may supervise a small professional team.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Own Hercules’ full data stack, including ETL from third-party providers into BigQuery, data modeling with dbt and medallion architecture, semantic-layer metric definition, and self-service business intelligence in Omni. Build reliable, maintainable systems and dashboards while applying strong software architecture, API design, code quality, and AI-assisted development practices.

The Senior Staff Business Analyst gathers stakeholder requirements and translates them into user stories and functional specifications for data integrations, data models, dashboards, and reports. The role prioritizes projects and releases, collaborates with technical and analytics teams, and supports adoption of data solutions. It requires strong data analysis, SQL, Snowflake, Power BI, dashboard, data preparation, Agile, JIRA, and Confluence experience. The position is remote in the U.S. or onsite in Krakow, Poland, with travel up to 10%.