Job Description
About the Role
DataDriven Insights is seeking a results-oriented Senior Data Analyst to join our high-performance analytics team in Austin, TX. You will play a pivotal role in shaping our data strategy, providing deep analytical insights that drive product decisions, operational efficiency, and revenue growth. This is a high-visibility role with direct exposure to C-level executives.
What You'll Do
You will own the full analytics lifecycle—from defining key business metrics and sourcing data to building predictive models and visualizing trends. We value intellectual curiosity, rigorous analysis, and clear communication.
Our Investment in You
- Competitive salary plus performance-based bonuses.
- Comprehensive benefits package (Medical, Dental, Vision).
- Unlimited PTO and flexible work schedule.
- $5,000 annual budget for professional development and conferences.
Responsibility
- Define and track KPIs to measure the health and trajectory of the business, creating executive-level dashboards.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights using SQL and Python.
- Design and analyze A/B tests and multivariate experiments to optimize user experience and conversion.
- Partner with Product, Marketing, and Engineering teams to embed data-driven decision-making into their workflows.
- Build and maintain predictive models and statistical forecasts to support strategic planning.
- Present analytical findings and recommendations to senior leadership and cross-functional stakeholders.
- Mentor junior analysts on best practices in data analysis, visualization, and storytelling.
Qualification
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science). Master's degree strongly preferred.
- 4+ years of experience as a Data Analyst or Data Scientist in a fast-paced tech environment.
- Expert-level proficiency in SQL and significant experience with Python (Pandas, NumPy) or R (dplyr, tidyverse).
- Advanced knowledge of data visualization platforms (Tableau, Looker, or Power BI).
- Strong understanding of statistical modeling, regression analysis, and hypothesis testing.
- Experience with cloud-based data warehouses (Snowflake, Redshift, BigQuery) is a plus.
- Excellent written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences.