Job Description
Join InsightMetrics Analytics as a Senior Data Analyst and transform complex data into actionable business intelligence. We're seeking a strategic thinker to drive data-driven decision-making across our fast-growing tech company. In this pivotal role, you'll leverage cutting-edge analytics to solve real-world business challenges and shape our product roadmap. Our collaborative culture values innovation and continuous learning, offering opportunities to work with industry leaders while advancing your career in one of America's most dynamic tech hubs.
We provide comprehensive benefits including health insurance, 401(k) matching, and flexible work arrangements. Austin's thriving tech ecosystem offers unparalleled networking and professional growth opportunities.
Responsibilities
- Design and implement end-to-end data pipelines using SQL, Python, and cloud technologies (AWS/Azure)
- Create compelling data visualizations and interactive dashboards using Tableau and Power BI
- Analyze large datasets to identify trends, anomalies, and business opportunities
- Collaborate with product teams to translate data findings into actionable recommendations
- Develop predictive models to forecast market trends and customer behavior
- Maintain data quality standards and implement data governance best practices
- Present complex analytical insights to executive stakeholders through clear narratives
Qualifications
- Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
- 5+ years of progressive experience in data analytics or business intelligence roles
- Expert proficiency in SQL and at least one programming language (Python preferred)
- Advanced experience with data visualization tools (Tableau, Power BI, Looker)
- Strong understanding of statistical analysis and experimental design
- Proven ability to translate complex data into business-relevant insights
- Experience with cloud data platforms (AWS Redshift, Azure Data Lake)
- Excellent communication skills with ability to present to technical and non-technical audiences