Data Analyst

About the role

What you'll do

• Translate business questions into analytical requirements.
• Analyze data to identify trends, patterns, and insights.
• Build and maintain dashboards and recurring reports for key metrics and performance indicators.
• Document metrics, definitions, and analytics processes.
• Support data modeling and reporting layers with data engineers and other analysts.
• Communicate insights through visualizations, summaries, and presentations.
• Identify improvements to reporting, data quality, and analytical workflows.

Qualifications

• At least 2 years of experience in a data analyst, business intelligence, or analytics-focused role.
• Programming experience in Python, Bash scripting, R, or a related language.
• Working proficiency in SQL and experience querying cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
• Experience with BI and data visualization tools such as Looker, Tableau, or Power BI.
• Foundational understanding of data modeling and analytics best practices; experience defining and tracking KPIs and metrics, and with A/B testing and causal analysis.
• Strong analytical and problem-solving skills, attention to detail, communication skills, and ability to collaborate in cross-functional consulting environments.
• Interest in data governance, privacy, security best practices, and AI tools.

Perks and benefits

• Health and wellness benefits, retirement planning, parental leave, flexible working hours, and work-from-home flexibility.
• Service recognition, social events and retreats, and learning and development opportunities.

Estimated compensation

• Estimated compensation is $75,000–$100,000; the offer may vary based on education, experience, skills, abilities, and market data.

Workplace

• The posting identifies the role as hybrid through the #LI-Hybrid designation and mentions work-from-home flexibility.