Data Analyst
We are looking for a skilled Data Analyst / BI Engineer to transform data into actionable insights. You will work closely with stakeholders to develop reports, dashboards, and analytics solutions that drive strategic decision-making.
Responsibilities:
• Design and build dashboards and reports using Power BI, Tableau, Looker, or Excel.
• Perform data analysis and visualization to generate insights.
• Collaborate with data engineers to ensure data accuracy and accessibility.
• Optimize ETL processes for data integration.
• Analyze trends and provide recommendations to improve business outcomes.
• Prepare documentation and communicate findings to stakeholders.
Minimum Qualifications:
• 2+ years of experience in data analytics or business intelligence.
• Proficiency in SQL, Python, or R.
• Familiarity with cloud data platforms (BigQuery, Redshift, Snowflake).
• Strong analytical and problem-solving skills.
• Experience with data modeling and ETL processes.
Nice-to-Have Skills (Preferred):
• Experience with predictive analytics and machine learning.
• Familiarity with data governance and compliance standards.
• Knowledge of statistical analysis tools (SAS, SPSS).
Compensation & Benefits:
• Unlimited PTO.
• Parental leave – 100% pay for 8 weeks.
• Medical, Dental, and Vision Insurance.
• 401(K) Retirement Savings Plan.
• Early stage equity.
• Mental and Physical Wellness Stipend.
• Daily Lunch Stipend.
Salary Range: $120,000 to $180,000/year + bonus + equity + benefits.
Contact: Reach out at [email protected]
We are looking for a skilled Data Analyst / BI Engineer to transform data into actionable insights. You will work closely with stakeholders to develop reports, dashboards, and analytics solutions that drive strategic decision-making.
Responsibilities:
• Design and build dashboards and reports using Power BI, Tableau, Looker, or Excel.
• Perform data analysis and visualization to generate insights.
• Collaborate with data engineers to ensure data accuracy and accessibility.
• Optimize ETL processes for data integration.
• Analyze trends and provide recommendations to improve business outcomes.
• Prepare documentation and communicate findings to stakeholders.
Minimum Qualifications:
• 2+ years of experience in data analytics or business intelligence.
• Proficiency in SQL, Python, or R.
• Familiarity with cloud data platforms (BigQuery, Redshift, Snowflake).
• Strong analytical and problem-solving skills.
• Experience with data modeling and ETL processes.
Nice-to-Have Skills (Preferred):
• Experience with predictive analytics and machine learning.
• Familiarity with data governance and compliance standards.
• Knowledge of statistical analysis tools (SAS, SPSS).
Compensation & Benefits:
• Unlimited PTO.
• Parental leave – 100% pay for 8 weeks.
• Medical, Dental, and Vision Insurance.
• 401(K) Retirement Savings Plan.
• Early stage equity.
• Mental and Physical Wellness Stipend.
• Daily Lunch Stipend.
Salary Range: $120,000 to $180,000/year + bonus + equity + benefits.
Contact: Reach out at [email protected]