Top Data & Analytics Jobs

Build and maintain data systems and pipelines using GCP, BigQuery, GCS, and Dataflow. Analyze and organize raw data, combine information from multiple sources, improve data quality, develop algorithms and analytical tools, and prepare datasets for predictive and prescriptive modeling. The role collaborates with data scientists and architects while evaluating business needs, interpreting trends, and reporting analytical results.

Analyze complex datasets, monitor data quality, investigate anomalies, develop analytical reports and dashboards, and communicate actionable insights. The role supports data-processing rules, data matching and linking, attribute development, and product initiatives while recommending improvements to tools, monitoring, and reporting processes.

Analyze and improve data ingestion processes, data quality, reporting standards, and operational performance. Validate loading statistics, cleanse data, resolve inconsistencies, execute testing, track project milestones, document procedures, and coordinate data requirement changes with business, technology, supplier, and client stakeholders. Develop metrics and reports, support reporting entities, and implement data solutions that improve efficiency, reliability, and service quality.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

Leads end-to-end analytics consulting engagements for credit risk and business intelligence clients. Responsibilities include requirements gathering, data extraction and transformation, statistical analysis, predictive modeling, validation, benchmarking, insight development, executive presentations, and project management. Partners with Sales and Solution Consultants to define solutions, support proposals, identify growth opportunities, and deliver measurable client outcomes. Provides technical guidance to analysts, ensures regulatory and model-risk compliance, manages concurrent engagements, and translates complex findings into actionable business recommendations.

Leads enterprise data asset management with emphasis on acquisition, operations, quality, governance, metadata, and master data. Owns sourcing strategy, vendor relationships, ingestion performance, compliance, operational metrics, and complex data initiatives. Partners with product, technology, and data science teams to optimize data assets, while leading teams and aligning data capabilities with commercial and regulatory priorities.

Owns TransUnion’s consumer lending thought leadership and market research agenda. Develops analytical frameworks using proprietary data and market signals, publishes white papers and executive content, advises leadership on regulatory and competitive developments, and serves as an external authority on fintech, BNPL, and non-depository lending. Directs offshore analysts and collaborates with cross-functional teams to shape commercial strategy.

Analyzes customer and business requirements, data, test results, and program outputs to implement accurate batch data fulfillment solutions. Serves as a liaison between business, technical, and operational teams; configures systems, executes test plans, troubleshoots processing issues, maintains documentation, and ensures compliance with legal and operational standards. The role also supports process improvements, cost reduction, quality initiatives, and timely program delivery using proprietary systems.

As a Custom Analytics Manager II, you will lead a team in developing analytics solutions, overseeing predictive modeling, collaborating with stakeholders, and presenting insights to clients.

Lead a team evaluating new and existing data assets, standardize due-diligence and analytical methodologies, validate data quality and business value, partner with Product and Technology to support onboarding and OneTru cataloging, establish governance and lineage standards, and coach team members to drive data-driven product and revenue decisions.