Top Data & Analytics Jobs

The Risk Senior Business Analyst enhances derivatives and risk data capabilities by defining data warehouse requirements, improving data quality and lineage, developing risk reports and dashboards, analyzing trade and portfolio data, and applying AI and automation. The role partners with Risk, Investments, Technology, governance, and data teams to improve reporting, processes, and decision-making.

Leads competitive intelligence for Athene’s retail annuity business, analyzing market, competitor, product, and sales information. Delivers insights supporting rate-setting, product strategy, positioning, executive decisions, and new product development. Partners with Product, Sales, Marketing, leadership, and communications teams; maintains external market perspectives; and improves analytics through technology, automation, data visualization, and AI.

Build and optimize scalable Databricks data pipelines across a medallion architecture. Develop data models, implement data quality checks and validation, integrate Azure services, and ensure data accuracy, governance, lineage, security, and performance. The role requires designing config-driven pipelines supporting CDC and event-based processing, maintaining CI/CD deployments, and working with structured and unstructured data across SQL and NoSQL systems.

Supports business planning through data and business analysis, forecasting, financial modeling, performance measurement, market research, and industry trend analysis. Collaborates with cross-functional teams on data collection and supports priority projects. The role requires analytical thinking, data manipulation, statistical analysis, financial modeling, Excel and Access proficiency, communication skills, and basic project management knowledge.

Lead the architecture and delivery of modern data and analytics platforms for clients. Design governed, secure solutions using Microsoft Fabric, Azure, Databricks, Power BI, and Purview. Translate business needs into scalable architectures, estimates, roadmaps, and delivery plans. Guide architecture reviews, governance, CI/CD, testing, monitoring, and operational readiness while enabling AI, Copilot, RAG, and intelligent application initiatives. Serve as the technical lead and trusted advisor for client engagements.

Design, build, and operate large-scale data platforms and production ETL/ELT pipelines. Partner with data science, analytics, and business teams; manage cross-functional delivery, QA, observability, data quality, experimentation infrastructure, and statistical model validation. Deploy containerized workloads through Docker, Kubernetes, CI/CD, and Helm. Own data operations, monitoring, incident response, SLAs, runbooks, and pipeline reliability while delivering accurate, scalable, and cost-efficient data assets.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Supports research and analytics on economic, real estate, and financial trends. Responsibilities include organizing and evaluating data, developing quantitative and qualitative insights, maintaining internal databases, preparing market analyses, and creating content for presentations, webinars, podcasts, websites, and other communications.

Leads business analysis, advanced analytics, KPI development, data modeling, reporting automation, and AI/ML initiatives supporting global data-center construction and operational excellence. Builds datasets, dashboards, performance metrics, forecasts, and scenario models; translates complex findings for executives; aligns technology solutions with business needs; and promotes data governance, documentation, process improvement, and analytics maturity across cross-functional teams.

Develop and support a multi-terabyte inventory and position data platform for financial markets. Responsibilities include migrating KDB+ data to Snowflake, database engineering, data modeling, access controls, performance optimization, testing, platform upgrades, cloud-based data distribution, and stakeholder collaboration. The role also maintains existing KDB+ systems while contributing to a greenfield Snowflake architecture in an Agile environment.