Top Entry Level Data & Analytics Jobs in Austin, TX

Lead commercial analytics for Wise Platform’s North American sales and delivery teams. Build reporting models, data products, KPI frameworks, dashboards, forecasts, market-sizing analyses, deal acceleration materials, and wallet-share insights. Partner with Finance, Sales Operations, Sales Enablement, Product Analysts, and regional leadership to improve revenue generation, forecasting, team performance, and account growth. Translate transaction and commercial data into actionable recommendations and standardized global analytics assets.

Analyze social and mobile game data to improve key performance indicators. Query databases using SQL/HQL, evaluate results with Excel and statistical tools, report A/B test status, prepare weekly management presentations, identify opportunities, and provide ad hoc reporting. The role requires communicating complex analysis clearly and collaborating on creative solutions within an Agile/Scrum environment.

Lead customer data engineering delivery for US utility customers, managing implementation timelines, resourcing, quality, escalations, and team performance. Hire, coach, and develop customer data engineers while coordinating with Product, Data Platform, Power Engineering, Customer Success, and Commercial teams. Own implementation standards, data requirements, documentation, process improvement, automation, customer-specific data exceptions, and continuous delivery improvements across global regions.

Analyze stakeholder and project requirements, translate them into functional features, partner with Product, Engineering, and QA, define acceptance criteria and test cases, identify bugs, support resolution, perform functional testing, and provide product sign-off. The role also involves documenting use cases, communicating decisions, and developing data-product solutions using SQL and the company’s data stack.

Designs and leads enterprise Master Data Management solutions across Property, Client, and Reference domains. The role owns Profisee architecture and administration, integrates it with Databricks, Salesforce, SQL Server, and Azure Synapse, and implements data quality, matching, survivorship, stewardship workflows, and AI-assisted automation. It partners with business owners and Data Governance, develops the MDM roadmap, ensures reliable downstream data consumption, and provides technical leadership and mentorship.

Build and maintain data pipelines and platform components for analytics, machine learning, and AI workloads. Implement ingestion, transformation, orchestration, testing, validation, deployment, monitoring, and troubleshooting tasks under experienced guidance. Collaborate with consultants and clients, participate in design discussions, code reviews, and agile ceremonies, document work, communicate progress, and develop foundational data engineering expertise.

Build and improve analytical tools and AI-enabled automations for Strategic Finance and cross-functional teams. Analyze data using SQL, BigQuery, Hex, spreadsheets, and AI tools; prototype, test, validate, document, and iterate solutions. Translate business problems into analytical requirements, collaborate with Data & Tech, evaluate AI-generated outputs, and help transition successful prototypes into tools used across Planning, Merchandising, E-commerce, Operations, and Growth.

Own end-to-end analytics for a live-service game, including SQL analysis, A/B testing, metric reconciliation, dashboards, pipelines, simulations, forecasting, and applied ML. Translate findings into product, monetization, live-ops, and economy decisions. Use AI coding agents while validating their outputs, build reliable internal tools and services, maintain reporting, and communicate practical recommendations to technical and nontechnical stakeholders.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Conduct software category research, develop product taxonomies and review questions, contribute analysis to buyer guides and reports, write thought-leadership articles, and support review quality control. The role requires strong writing, research ability, technology enthusiasm, attention to quality, and collaboration in a fast-paced startup environment.