Top Analysis Reporting Jobs in Dallas, TX

Analytics interns will analyze datasets, generate actionable insights, develop reports, participate in the full analytics lifecycle, support model building and presentations, and complete ad hoc projects. They may work across credit risk, loan servicing, marketing, supply chain, retail, or automotive analytics. The role requires strong analytical, problem-solving, communication, and reporting skills in a fast-paced, on-site environment.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Own the Activation Factory’s partner performance measurement, analytics infrastructure, dashboards, and executive reporting. Define partner health scores and KPIs, ensure data quality across PRM, CRM, and financial systems, build pipelines and a single source of truth, and generate strategic insights on segmentation, ROI, attribution, and program effectiveness. Translate partner feedback and performance intelligence into improvements for partner programs, sales, and operations while communicating clear recommendations to senior leadership.

Provides day-to-day data and technical support for GOTV campaign staff, including managing VAN support tickets, troubleshooting VAN issues, completing data tasks, writing and debugging SQL queries, and maintaining Google Sheets, reports, and dashboards. The role also supports VAN administration, phone banking, texting programs, documentation, and broader data projects while communicating solutions clearly and managing competing priorities in a fast-paced campaign environment.

Partners with clients and internal teams to analyze complex datasets, develop measurement strategies, conduct research and statistical analyses, and deliver actionable insights. Creates reports, dashboards, and recommendations supporting sales, marketing, optimization, and go-to-market decisions. Leads research and measurement activities, tracks market trends and KPIs, communicates findings clearly, and stays engaged with program operations through meetings and field ride-alongs.

Partners with clients and internal teams to develop data-driven strategies, measurement approaches, reports, and actionable insights. Collects, cleanses, transforms, models, and analyzes complex datasets using business intelligence and statistical tools. Leads standardized measurement, research, testing, and optimization initiatives, communicates findings through compelling reports, and supports sales and marketing objectives through market analysis and recommendations.

Designs, builds, deploys, and operates scalable data pipelines and cloud-based data architectures supporting lending analytics across Mortgage and Personal Loans. Responsibilities include data ingestion and transformation, schema design, SQL optimization, workflow orchestration, monitoring, troubleshooting, data quality, and generative AI integration. The role also establishes engineering standards and collaborates with analysts, engineers, and governance teams to deliver reliable production data systems.

Leads the Data Engineering and Analytics team, managing people, strategy, intake, prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products; improves reliability, code quality, and operational processes. Guides predictive and prescriptive analytics initiatives, including forecasting, recommendation, and segmentation models, with responsible healthcare data governance. Partners with product, operations, executives, clients, and vendors while supporting accurate reports, invoices, and monthly close activities.

Owns TrendAI’s AI-generated answer visibility measurement program, including baselines, prompt methodology, recurring reporting, citation and competitive analysis, and entity representation. Translates findings into actionable content, PR, social, and messaging recommendations, partners with cross-functional teams to implement them, and evaluates outcomes. Requires enterprise B2B technology experience, AI visibility expertise, marketing analytics, knowledge-graph familiarity, technical fluency, and people-leadership readiness.