Top Data & Analytics Jobs

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%.

Analyze business processes, identify improvement opportunities, gather and document stakeholder requirements, and produce reports and presentations using PowerPoint. Support business solutions, strategies, business cases, and project plans while conducting market research. Collaborate with cross-functional teams and senior leaders to support data-driven decisions and strategic initiatives.

Build and maintain batch data pipelines and ETL/ELT workflows using SQL, Python, APIs, databases, and files. Develop datasets, data models, quality checks, monitoring, documentation, tests, and deployment processes. Troubleshoot pipeline issues, support releases and backfills, modernize legacy processes toward secure cloud-based solutions, and provide business intelligence insights while collaborating with analysts, software engineers, and business partners.

Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.

Maintains master data and product catalog information across PCM and SAP, ensuring accuracy, completeness, and consistency. Investigates data errors, develops procedures, trains internal and vendor teams, manages taxonomy, audits item changes, and supports special projects. Responsibilities also include documenting requirements, testing programs in QA and production environments, maintaining event data, and monitoring issue resolution. The role requires strong communication, problem-solving, computer, and product data management skills.

Analyzes complex aviation logistics and maintenance data to improve aircraft readiness and support decision-making. Responsibilities include data management, statistical analysis, anomaly detection, dashboard and visualization development, reporting, query and workflow automation, secure data handling, quality assurance, and briefing technical findings to stakeholders and leadership. The role also establishes data collection and storage systems and advises on project progress, risks, and outcomes.

Analyze petrochemical, polymer, and raw-material markets to support trading strategies and commercial decisions. Develop supply-demand outlooks, price and margin analyses, market reports, dashboards, and research initiatives. Gather insights from suppliers, customers, and service providers, assess trade structures, and recommend data sources, models, and analytical tools to improve market intelligence.