Top Remote Analysis Reporting Jobs in Dallas, TX

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

Design, develop, test, and maintain Tableau dashboards and visualizations; gather and document requirements; integrate and validate data from multiple sources; build KPIs, scorecards, and workflow metrics; optimize performance and data quality; troubleshoot reporting issues; create documentation and provide knowledge transfer and ongoing BI support to DPS.

Support marketing, retail, and digital teams with analytics: develop multi-touch attribution, ROI measurement, dashboards, SQL-based ETL/analysis (Snowflake/DBT), funnel and A/B test evaluation, and cross-functional data alignment to inform growth and product decisions.

Lead a new Program Data Team to drive data-informed program management, impact measurement, and targeting for organizing work. Design evaluation frameworks, build data capacity across programs and partners, implement program data systems and governance, and manage a small team while coordinating with data infrastructure and organizing teams to translate insights into strategy and action.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.