Extract, analyze, and interpret complex data sets to generate valuable insights and support data-driven decision-making. Play a crucial role in providing actionable insights and recommendations that drive business growth and operational efficiency.
Extract, analyze, and interpret complex data sets
Generate valuable insights
Support data-driven decision-making
Provide actionable insights and recommendations
Drive business growth and operational efficiency
Bachelor's or master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline.
Proven experience (3+ years) as a Data Analyst or a similar role, with a focus on analyzing complex data sets and providing actionable insights typically required.
Strong proficiency in SQL for data extraction and manipulation.
Experience with data analysis and visualization tools such as Tableau, Power BI, Qlik, or similar tools.
Proficiency in statistical analysis and modeling techniques, such as regression analysis, time series analysis, clustering, or classification.
Familiarity with programming languages such as Python or R for data analysis and scripting.
Knowledge of data warehousing concepts and data modeling principles.
Excellent problem-solving and critical-thinking skills, with the ability to analyze complex problems and derive practical solutions.
Strong attention to detail and ability to work with large and complex data sets.
Effective communication skills, with the ability to present complex findings and insights to both technical and non-technical stakeholders.
Ability to perform essential functions of the position, with or without a reasonable accommodation.
Experience with Github, dbtLabs is desired.
Experience with Data Catalog & lineage tool is desired.
Health, Dental, Voluntary Vision and Prescription Drug Insurance
Savings and Profit Sharing
401(k)
Paid Time Off for Sick and Personal Leave, Vacation and Holidays