Data Analyst Mid
Progressive Insurance · United States
- Hybrid
- Full-time
- $89,700 / year
- United States
Job highlights
- Deliver data insights for auto and renters' strategy.
- Collaborate to build and modernize analytics.
- Boost analytic throughput and decision-making.
- Requires 1-4 years of analytical experience.
- Proficient in SQL, R, Python, and visualization tools.
About the role
Data Analyst - Direct Agency Advancement
Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.
As a mid-level data analyst within the Direct Agency Advancement organization, you’ll deliver impactful data-driven insights to guide our auto and renters’ strategy. You’ll collaborate with internal and external partners to build and modernize our analytics, improve how insights are generated and consumed, and help drive measurable business outcomes. Your work will directly boost analytic throughput and enable informed, timely decision-making across the organization.
Remote work allowed, with occasional travel for meetings and/or training.
Must-have Qualifications
- A minimum of four years of analytical work experience
- OR Bachelor's degree or higher and a minimum of three years of analytical work experience
- OR Bachelor's degree or higher in a quantitative field of study and a minimum of one year analytical work experience
Preferred Skills
- Proactive mindset with demonstrated ability to prioritize and manage multiple tasks effectively.
- Proficient in data visualization software (e.g., Tableau, Excel, Power BI) and with programming tools (e.g., SQL, R, or Python).
- Demonstrated ability to work with ambiguous, incomplete, or evolving data and translate it into meaningful insights.
- Strong analytical skills and attention to detail, with the ability to research data, recognize patterns, and use critical thinking to solve problems.
Compensation
$67,300-$89,700/year, depending on experience. Gainshare bonus up to 24% of your eligible earnings based on company performance.
Benefits
- 401(k) with dollar-for-dollar company match up to 6%
- Medical, dental & vision, including free preventative care
- Wellness & mental health programs
- Health care flexible spending accounts, health savings accounts, & life insurance
- Paid time off, including volunteer time off
- Paid & unpaid sick leave where applicable, as well as short & long-term disability
- Parental & family leave; military leave & pay
- Diverse, inclusive & welcoming culture with Employee Resource Groups
- Career development & tuition assistance
Key skills/competency
- Data Analysis
- SQL
- Tableau
- Power BI
- Python
- R
- Analytical Skills
- Problem Solving
- Data Visualization
- Business Intelligence
Skills & topics
- Data Analyst
- Analytics
- SQL
- Tableau
- Power BI
- Python
- R
- Data Visualization
- Business Intelligence
- Insurance
- Progressive Insurance
- Remote
- Quantitative Analysis
How to get hired
- Tailor your resume: Highlight analytical experience and quantitative degrees relevant to data analysis.
- Showcase your skills: Emphasize proficiency in SQL, R, Python, Tableau, or Power BI.
- Address ambiguity: Provide examples of translating incomplete data into actionable insights.
- Research Progressive's culture: Understand their focus on innovation and career development.
- Prepare for interviews: Be ready to discuss problem-solving and critical thinking using data.
Technical preparation
Practice SQL queries for data extraction and manipulation.,Build dashboards in Tableau or Power BI.,Develop data analysis scripts in Python or R.,Review statistical concepts and analytical techniques.
Behavioral questions
Describe a time you solved a complex problem.,How do you handle ambiguous data or requirements?,Share an experience prioritizing multiple tasks.,How do you ensure accuracy in your analysis?
Frequently asked questions
- What is the salary range for a Data Analyst at Progressive Insurance?
- The Data Analyst role at Progressive Insurance offers a yearly salary range of $67,300 to $89,700, depending on your experience level. Additionally, there is a potential Gainshare bonus of up to 24% of eligible earnings based on company performance.
- Does Progressive Insurance offer remote work for Data Analysts?
- Yes, the Data Analyst position at Progressive Insurance allows for remote work, with occasional travel required for meetings and/or training.
- What are the minimum qualifications for the Data Analyst position at Progressive?
- To qualify for the Data Analyst role, you need at least one of the following: four years of analytical work experience, or a Bachelor's degree and three years of analytical experience, or a Bachelor's degree in a quantitative field and one year of analytical experience.
- What technical skills are preferred for the Data Analyst job at Progressive?
- Preferred technical skills for the Data Analyst role include proficiency in data visualization software like Tableau, Excel, or Power BI, and programming tools such as SQL, R, or Python. Strong analytical skills and the ability to work with ambiguous data are also highly valued.
- What benefits does Progressive Insurance offer to its employees?
- Progressive Insurance provides a comprehensive benefits package, including a 401(k) with a company match, medical, dental, and vision insurance, wellness programs, paid time off, parental leave, and opportunities for career development and tuition assistance.
- Can international candidates apply for the Data Analyst role at Progressive?
- Progressive Insurance requires applicants to be authorized to work in the U.S. without sponsorship. They do not hire candidates with certain visa statuses like F-1 CPT, OPT, STEM OPT, H-1B, O-1, E-3, or TN for this role.
- What is the role of a Data Analyst in the Direct Agency Advancement team at Progressive?
- A Data Analyst in the Direct Agency Advancement team at Progressive delivers data-driven insights to guide auto and renters' strategy. They collaborate to improve analytics, generate and consume insights, and drive business outcomes.