Top Senior Data & Analytics Jobs

Use data and analytics to optimize T-Mobile's customer payment experience, identify payment risks and failures, build financial models and business cases, recommend strategies to improve approvals while minimizing loss and fraud, partner cross-functionally, and present findings to senior leadership.

Lead DataSF’s department-facing data engineering practice, owning engagement from scoping and onboarding through delivery and support. Define service offerings, build self-service data access pathways, establish data quality and trust standards, and integrate governance into onboarding. Partner with city departments to translate data needs into scalable technical requirements, shape dbt and analytics engineering practices, and mentor engineers or analysts. The role begins as an individual contributor and may grow into team management.

Lead Financial Services channel research coverage across banking, insurance, and fintech. Develop coverage roadmaps, research frameworks, expert source strategies, and structured questionnaires. Guide analysts and operations teams on project feasibility, expert targeting, and quality standards. Serve as the sector domain expert, identify new companies and research opportunities, map value chains, and generate differentiated insights for investors and corporate users. Partner cross-functionally to refine research workflows and scale consistent AI-enabled primary research.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and quality. Acts as the primary financial services domain expert, identifies new research opportunities, maps value chains, and partners cross-functionally to improve scalable AI-enabled research workflows and deliver differentiated, actionable insights.

Lead AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develop coverage roadmaps, structured questionnaires, expert source strategies, and repeatable channel-check frameworks. Guide analysts and operations teams in project execution, expert targeting, feasibility, and quality control. Serve as the financial services domain expert, identify new companies and subsectors, map value chains, and generate differentiated insights for investors and corporate clients. Partner cross-functionally to improve research workflows, expand coverage, and maintain high-quality outputs.

Own data ingestion, validation, reconciliation, and quality pipelines using Python, advanced SQL, and PostgreSQL. Design schemas, indexes, migrations, automated tests, and CI/CD workflows while handling unreliable third-party feeds. Develop test plans, track defects, establish quality metrics, conduct performance and security testing, and support compliance documentation. Preferred experience includes AWS event-driven architectures, healthcare or payer data, orchestration tools, infrastructure as code, FedRAMP environments, data quality frameworks, and anomaly detection.

Develops market data, risk analytics, P&L calculations, pricing models, and regulatory reporting solutions for Rates and FX derivatives. Partners with Macro trading desks and middle-office teams to analyze portfolio exposure, troubleshoot derivatives issues, support trading operations, and translate business requirements into technical solutions. The role requires expertise in swaps, swaptions, caps, floors, option Greeks, and cross-asset trading systems.

Manage data engineering projects, pipelines, quality, security, and process optimization. Collaborate with teams to define data requirements, provide technical guidance, support technology evaluation, and contribute to data engineering strategy. Promote collaboration, continuous learning, and best practices while ensuring data initiatives align with business objectives.

Own HR analytics foundations by converting HRIS and ATS data into trusted reporting, Tableau dashboards, scalable analytics products, and actionable insights. Build BI tooling, improve source-data quality, establish data governance, and partner with HRBPs, recruiters, and executives. Develop modern data delivery methods including conversational AI query interfaces and lightweight web pages, while teaching stakeholders to confidently use and interpret HR data.

Build and lead Harvey’s central data platform, including streaming and batch ingestion, CDC, Snowflake warehousing, orchestration, transformation frameworks, real-time processing, self-service tooling, and data quality, lineage, and governance. Establish secure patterns for PII, access control, retention, and multi-region data residency while setting technical direction and mentoring a growing team.

Build and lead Harvey’s central data platform, including streaming and batch ingestion, CDC, Snowflake warehousing, orchestration, transformations, real-time processing, and self-service tooling. Establish data quality, observability, lineage, governance, PII protection, access controls, and multi-region data residency. Own architecture and technical direction while setting standards, mentoring engineers, and partnering with Analytics, Data Engineering, Product, and Infrastructure teams.

Analyze and map inbound data flows across systems, maintain performance reports, audit data integrity, troubleshoot integration issues, and optimize data processes. Partner with business, product, technology, supply chain, and operations teams to define data requirements, improve controls, develop KPI reporting, and deliver scalable analytical solutions. The role also mentors analytics team members and communicates integration outcomes to senior management.

Designs, develops, and maintains Databricks-based ETL pipelines, data lake architectures, datasets, and data quality processes supporting reporting, analytics, and AI/ML workloads. Maintains and migrates legacy SSIS and SQL Server systems, optimizes pipeline performance, and supports complex SSRS reporting. Collaborates with business users, analysts, and IT teams to define data requirements, troubleshoot issues, document solutions, and advance AI-assisted engineering practices.