Top Hybrid Data & Analytics Jobs

Lead Business Intelligence Analyst will develop quantitative approaches for cost reduction, mentor junior analysts, and explore new technologies to enhance analysis.

Lead regional reporting delivery by standardizing, governing, and automating reporting processes. Partner with Corporate Reporting and line units to translate data into actionable insights, prioritize work, manage capacity, and drive adoption of common reporting tools and practices. Oversee consolidation of reporting activities, escalate risks, and mature regional reporting capabilities aligned to enterprise standards.

Deliver data-driven insights and scalable reporting solutions for finance leadership. Partner with stakeholders to gather requirements, identify process improvements, implement automation, build training curricula, and develop analytics using Snowflake and modern BI tools to support executive decision-making.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

The Pension Risk Transfer Data Analyst will manage and analyze participant data, ensure accurate benefit calculations, and support the installation team, collaborating with various stakeholders to enhance process efficiency.

Design, build, and maintain scalable dbt transformation pipelines and analytical data products on cloud platforms. Own data product lifecycle from source alignment and modeling to deployment, testing, monitoring, and governance. Implement automated data quality, observability, and metadata practices; develop reusable macros and semantic-layer assets. Collaborate with stakeholders, mentor peers, and promote analytics engineering standards to support reporting, advanced analytics, and AI use cases.

Design, build, and maintain data transformations and models using SQL and dbt to support enterprise reporting and AI initiatives. Implement data quality controls, create analytics datasets, and collaborate with engineering and business teams to deliver trusted dashboards, metrics, and information products.

The Senior Pricing and Packaging Analyst will analyze data to inform pricing strategies, develop recommendations, and work collaboratively across teams to implement these strategies.

Perform exploratory analysis across web, dealer, and sales data to evaluate revenue strategies. Translate business needs into analytic solutions, build data transformations, reports, and dashboards with SQL/Python/R, communicate insights to stakeholders, partner with cross-functional teams to recommend improvements, and mentor junior analysts.

Act as the bridge between business goals and technical systems by gathering stakeholder requirements, writing user stories with acceptance criteria, designing data and system diagrams, specifying analytics and data warehouse solutions, collaborating with engineers and product managers to implement and test solutions, coordinating UAT and defect tracking, and creating documentation and training materials to improve operational efficiency.

The EIR Analyst conducts rigorous evaluation and research using the Colorado All Payer Claims Database, translating findings into actionable insights to improve healthcare in Colorado through innovation and data-driven solutions.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

The SVP of Data Platform will lead the strategy and architecture for enterprise data infrastructure, manage a high-performing team, and drive data governance and AI readiness.

The Quantitative Researcher will generate original research, employ private market data, assist with index management, and collaborate across teams to produce insights and reports.

The Senior Data Scientist will develop predictive models for mortgage loss forecasting, perform portfolio analytics, and collaborate across various departments to enhance home lending risk analytics.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.