Business Data Specialist

What You Will Be Doing

Extract, analyze, and interpret complex data sets to generate valuable insights and support data-driven decision-making.

Collaborating with cross-functional teams, play a crucial role in providing actionable insights and recommendations that drive business growth and operational efficiency.

What We're Looking For

• Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline is preferred.
• Proven experience (4+ years) as a Data Analyst or Insurance Business 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.
• Educational requirements: Bachelor's or Master's degree in a quantitative field.
• Experience requirements: Proven experience (4+ years) as a Data Analyst or Insurance Business Analyst or a similar role.
• Technical skills: Strong proficiency in SQL, data analysis and visualization tools, statistical analysis and modeling techniques, programming languages, data warehousing concepts, and data modeling principles.
• Soft skills: Excellent problem-solving and critical-thinking skills, strong attention to detail, and ability to work with large and complex data sets.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline is preferred.
• Proven experience (4+ years) as a Data Analyst or Insurance Business 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.

Skills

• SQL for data extraction and manipulation.
• Data analysis and visualization tools such as Tableau, Power BI, Qlik, or similar tools.
• Statistical analysis and modeling techniques, such as regression analysis, time series analysis, clustering, or classification.
• Programming languages such as Python or R for data analysis and scripting.
• Data warehousing concepts and data modeling principles.
• Problem-solving and critical-thinking skills.
• Attention to detail.

Benefits

• 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.
• Vitality Wellness Program.
• "Dress for Your Day" Dress Code.
• Flexible Scheduling.
• And much more!