Top Remote Data & Analytics Jobs in Austin, TX

As an Operations Analyst, you'll develop scalable reporting, model supply and demand, and engage with stakeholders to inform business strategies across markets.

The VP of Data Strategy & Analytics will operationalize and scale the DSA function, enhancing processes while leading strategic client engagements and measurement frameworks to align cross-functional teams and ensure high-quality data solutions.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The Senior Data Solutions Support Specialist oversees the onboarding and support of data solutions, troubleshooting technical issues, and ensuring customer satisfaction through effective communication and problem-solving.

Lead end-to-end enterprise data migrations and consolidations from legacy ERPs to cloud platforms. Design cloud architecture, build automated ETL/ELT pipelines and ontology-driven schemas, implement CDC and validation frameworks, deliver dashboards and migration controls, advise executives, and develop reusable accelerators while mentoring teams and enabling client post-migration governance.

Lead client-facing insights engagements translating Circana data (POS, consumer panel, syndicated) into actionable recommendations. Drive client growth, identify expansion opportunities, collaborate cross-functionally, present to senior stakeholders, use proprietary platforms, and ensure client success while managing multiple workstreams.

Own revenue reporting and dashboards (funnel, pipeline, forecasting, ARR), analyze trends and variances, provide actionable insights to Sales, Marketing, and CS, support forecasting and experiments, collaborate on Salesforce/reporting logic and data quality, and document metrics and processes to scale revenue operations.

Partner with a product team to design and implement product analytics: build dashboards, instrument and QA event tracking, run funnel/cohort/retention analyses, support A/B testing, and enable self-service reporting to inform product strategy and improve user experience.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.