Top Entry Level Data & Analytics Jobs in Dallas, TX

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insights within the insurance industry. Complete curated training, mentorship, and rotational assignments while developing analytical, technical, strategic, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies.

Participates in a 12-month new-graduate development program while designing, building, deploying, and operating data architectures and pipelines. Develops processes for capturing, transforming, storing, and maintaining structured and unstructured data across distributed and local systems. Applies automation, big-data, artificial intelligence, and machine-learning techniques to support data integrity, compatibility, and evolving business requirements.

Analyzes and corrects claims data errors, investigates root causes, evaluates business impact, and recommends long-term data quality improvements. The role manages claims corrections using business rules, resolves exceptions across systems, collaborates with claims administrators, programmers, vendors, and business teams, and produces ad hoc reports. Strong SQL skills and insurance claims knowledge are required; Snowflake experience is preferred.

Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.

Performs data-quality checks, migration validation, SQL-based reconciliation, discrepancy investigation, and root-cause analysis across large VA healthcare datasets. Supports DMM tools, cutover and go-live activities, reporting, application monitoring, access administration, documentation, and stakeholder meetings. Collaborates with VA, Oracle Health, InterSystems IRIS, engineering, and subject-matter teams to resolve migration issues and implement new data-quality capabilities.

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.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Analyzes repair data to identify gaps and errors, create useful summaries, and convert findings into visual dashboards. Participates in system requirements evaluation, analysis, and implementation, and communicates insights to production teams to improve data input accuracy. The role requires SQL and database knowledge, strong analytical and communication skills, task prioritization, and flexibility for overtime. Work occurs in a warehouse environment involving noise, temperature variation, walking, bending, repetitive hand movements, and occasional lifting.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.