Top Hybrid Data Analysis Jobs

Supports quantitative and qualitative primary research engagements, including questionnaire and discussion guide development, survey specifications, fieldwork, data cleaning, tabulation, analysis, focus group logistics, and quality control. Prepares presentations, data tables, toplines, and findings summaries; coordinates with vendors and senior team members; tracks timelines and contributes to improving research processes and AI-enabled methodologies.

Supports customers with data onboarding, analysis, and adoption of Bikky’s insights. Updates DBT models, performs customer retention analyses, collaborates with product and engineering teams, and communicates analytical findings. The role combines SQL, statistical analysis, business judgment, and customer-facing communication, with opportunities to grow into product development, data engineering, or data science.

Collects, cleans, integrates, and analyzes business data; develops Power BI dashboards, reports, models, pipelines, and data quality controls. Translates business needs into analytical solutions, identifies trends and recommendations, validates results, supports migrations and modernization, and explores AI and machine learning use cases. Partners with technical and nontechnical stakeholders while documenting data lineage, assumptions, governance, privacy, and responsible AI practices.

Manages and prepares data from internal and external sources, validates data quality, performs descriptive, predictive, and prescriptive analysis, and documents methodologies and outcomes. Develops and maintains self-service reporting tools and dashboards, supports regular and ad hoc reporting, trains customers, and presents audience-appropriate findings. Identifies anomalies, investigates root causes, ensures reproducibility, and provides recommendations to support data-driven underwriting and actuarial decisions.

Own pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build supplier yield scores, pricing models, dashboards, predictive churn models, cohort analyses, and A/B tests. Partner with product, operations, engineering, sales, finance, and customer success leaders to translate marketplace data into revenue and retention improvements. Develop production machine-learning models and communicate insights to technical and non-technical stakeholders.

Ten-week summer internship focused on analytics and business transformation. Interns will analyze data, create insights and recommendations, support process improvement, explore AI-enabled tools, and contribute to data-driven decision-making. The role includes cross-functional collaboration, professional development, and a capstone project. Interns must work full-time in a hybrid setting and relocate to Canonsburg, Pennsylvania, or Houston, Texas.

Leads requirements gathering and develops scalable analytics solutions, dashboards, semantic models, and self-service BI products. Partners with Analytics Engineering on Snowflake canonical models, dbt transformations, data quality, testing, and migration from legacy platforms. Applies responsible AI-assisted tools, mentors analysts, establishes standards, coordinates delivery across stakeholders, and drives adoption and business impact.

Develop reporting, analytics, metrics, and dashboards to optimize autonomous-vehicle data collection and software development processes. Partner with data scientists, software leaders, and cross-functional stakeholders to prioritize data sourcing, build scalable data pipelines, monitor operational processes, and communicate insights. The role uses on-road and simulation data to support Aurora Driver development and commercialization.

Conduct market and competitive intelligence research across global private markets, analyzing investment activity, capital flows, client behavior, investor trends, and competitor positioning. Develop market assessments, opportunity analyses, segmentation strategies, reports, dashboards, and recommendations for firm leadership, partners, and business development teams. Translate quantitative and qualitative insights into actionable growth, client engagement, and strategic planning initiatives.

Own the Palantir Foundry platform from a finance perspective, developing data pipelines, integrations, ontologies, applications, and interactive dashboards. Troubleshoot data and system issues, document reverse ETL flows and technical specifications, and improve business processes through automation. The role requires experience with data visualization, Databricks or similar platforms, PySpark, TypeScript, NetSuite integrations, and data analysis.