Top Data & Analytics Jobs

Conduct theoretical and empirical research in mortgage finance, including residential property valuation, home price index estimation, and forecasting. Apply statistical, mathematical, econometric, data mining, and programming techniques using SQL, R, and Python. Develop and validate quantitative models, assess model risk and performance, interpret results, and provide business recommendations. Communicate technical findings through presentations, white papers, review reports, and work papers.

Designs, implements, administers, and supports business intelligence solutions, including reports, analytics, dashboards, and scorecards. Collaborates on data structures, develops BI platforms, improves usability, presents solutions to leadership, and communicates technical concepts to nontechnical stakeholders. Provides leadership, mentoring, strategic planning, and people management while ensuring accurate, actionable business insights.

Maintain and troubleshoot Airtable systems and API integrations connecting Salesforce, Coupa, AWS finance tools, and operational data sources. Support automated reporting, dashboards, executive performance reports, data validation, documentation, naming standards, and metadata governance. The role focuses on testing, reliability, issue resolution, and onsite support, with mentorship from a Senior Data Operations Architect.

Leads enterprise data architecture initiatives supporting analytics, cloud adoption, real-time integration, and digital transformation. Designs SAP- and cloud-based data platforms, develops HANA models and SQL solutions, integrates AI/ML pipelines, implements governance and security frameworks, and supports automation, ESG data, and event-driven architectures. Provides technical guidance, collaborates with stakeholders and vendors, troubleshoots platform administration issues, and oversees enterprise-scale solution deployment across AWS and Azure.

Build and maintain Power BI dashboards, semantic models, reports, data transformations, and SQL-based analytics solutions. Gather requirements, conduct data discovery, support pipelines and governance, validate data quality, and coordinate system and user acceptance testing. Translate business needs into technical specifications and actionable insights while documenting solutions, training users, and supporting project delivery across the Azure data ecosystem.

Reviews and resolves data synchronization issues between Conservice bill payment systems and ENERGY STAR Portfolio Manager. Compares utility bills with required portfolio data, corrects and enters information, validates aggregate utility data, and performs ongoing data quality control. Coordinates with internal teams, investigates root causes, manages repetitive data processes, and ensures corrected information is successfully transferred to ENERGY STAR.

Leads enterprise information systems, Power BI reporting architecture, data governance, analytics, ERP initiatives, and AI tool adoption. Builds and validates dashboards, ensures data quality, manages system operations, and supports business decision-making. Partners with IT and business stakeholders, provides proactive communication, leads and develops IS staff, manages vendors and budgets, and drives enterprise application delivery and improvement.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Develop and manage Workday PSA and Financials data solutions, including conversions, transformations, integrations, reporting, APIs, EIBs, and ETL processes. Create technical documentation, perform data analysis and loading, support migrations and M&A initiatives, and ensure security, compliance, access controls, and data quality. Partner with business analysts, functional leads, engineers, and security teams while managing multiple projects and serving as a Workday data subject matter expert.

Build and maintain a production data platform integrating RMS, Azure SQL, HubSpot, and vendor APIs. Develop pipelines, data models, quality gates, APIs, system-of-record write-backs, performance improvements, and explainable lineage. Build production AI-agent workflows with evaluation, guardrails, and monitoring. Own features end to end, contribute to applications, support incident response, and collaborate with product managers and traders.