Sr Technical Product Analyst

Mercury Insurance; United States; Remote; USD 85,000 - 158,000; Full time

Job summary

Join a forward-thinking company as a Sr. Technical Product Analyst, where your passion for data will drive improvements in digital experiences. This role is pivotal in analyzing customer behavior and performance trends, enabling data-driven decisions across teams. You'll collaborate with cross-functional partners to enhance product performance and user experience, utilizing your expertise in SQL, Python, and data visualization tools like PowerBI. Be part of a team recognized for its culture and achievements, and enjoy a flexible work environment with numerous benefits aimed at your professional and personal growth.

Benefits

Competitive compensation

Flexibility to work from anywhere

Paid time off

Incentive bonus programs

Medical, dental, vision insurance

401(k) retirement savings plan

Education assistance

Professional development opportunities

Company recognition program

Health and wellbeing resources

Qualifications

• 5+ years of experience in data analytics and product analytics.
• Strong background in developing dashboards and reporting tools.

Responsibilities

• Analyze user behavior using SQL and Python to improve product usability.
• Collaborate with product teams to integrate user data into the product roadmap.

Skills

SQL

Python

Data Visualization (PowerBI)

Analytical Skills

User Experience (UX)

Data Analysis

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Business Analytics

Tools

PowerBI

ETL/ELT tools (e.g., dbt)

Job description

Join to apply for the Sr Technical Product Analyst role at Mercury Insurance

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Join to apply for the Sr Technical Product Analyst role at Mercury Insurance

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2024!

Position Summary

As a Sr. Technical Product Analyst, you will play a critical role in enabling the company to be data-driven through analyzing customer behavior, identifying performance trends, and driving continuous improvements to enhance digital experiences. You will be responsible for providing actionable insights through data analysis, identifying and resolving pain points, and optimizing user flows and technical product performance. The ideal candidate will have a passion for data, a strong technical background, expertise in data visualization tools (PowerBI), and the ability to deliver complex insights to all audiences.

Geo-Salary Information

State specific pay scales for this role are as follows:

$85,480 to $157,868 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$77,709 to $143,516 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$69,938 to $129,165 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Responsibilities

Essential Job Functions:

• Analyze User Behavior: Use SQL and Python to track, visualize, and analyze user engagement, focusing on multi-raters, aggregators, agents, and customer behaviors in the sales funnel.
• Improve User Experience (UX): Use data insights to drive product usability improvements, ensuring an intuitive and seamless user experience.
• Support Product Roadmap: Collaborate with product teams to integrate user behavior data into the product roadmap, aligning with key business objectives.
• Cross-Functional Collaboration: Partner with engineering, business, and product teams to drive data-driven decisions and enhance product performance.
• Data Collection & Insights: Ensure that accurate data collection practices are followed and provide actionable insights into user behavior and product performance.
• Dashboard Development: Build and maintain dynamic sales funnel dashboards (using PowerBI), providing real-time insights into lead progression, conversion rates, and KPIs.
• Anomaly Detection: Implement and manage anomaly detection systems to proactively identify potential issues in user behavior or system performance.
• Technical Expertise: Apply strong knowledge of SQL, Python, and data visualization to solve complex product and UX challenges.
• Ownership of Analytics Areas: Take ownership of key analytics areas, including multi-raters, aggregators, and customer behavior in the insurance sales funnel.
• Insurance Domain Knowledge: Leverage understanding of the insurance industry to provide meaningful insights and guide product decisions, particularly in areas related to the insurance sales process.
  
  

Qualifications

Education:

• Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, Business Analytics, or a related field.
• Alternatively, an equivalent combination of education and/or experience in product analytics, data analysis, or a related discipline.
  
  

Experience

• 5+ years of experience in data analytics, analytics engineering, data engineering, or data science.
• 4+ years of experience in product analytics, focusing on user behavior, engagement metrics, and product performance analysis.
• Experience in P&C insurance is preferred, but not required.
• Proven track record of collaborating with product teams to establish measurement tools and processes.
• Strong background in developing dashboards, reporting tools, and conducting in-depth data analysis to drive business decisions.
  
  

Knowledge And Skills

• Proficiency in SQL and Python for data analysis and building data pipelines.
• Strong experience with data visualization tools (PowerBI) to create and maintain comprehensive dashboards.
• Expertise in relational and non-relational databases and data sources.
• Deep understanding of ETL/ELT processes and tools (e.g., dbt).
• Advanced data skills with the ability to work with large structured and unstructured data sets.
• Ability to identify gaps and inconsistencies in data, providing actionable insights.
• Strong analytical and creative thinking, comfortable working in ambiguous situations.
• Experience in managing and communicating data strategies and models to internal stakeholders.
• Demonstrated expertise in data mining and statistical analysis.
• Solid experience with cloud-based advanced data and analytics environments.
• Excellent problem-solving skills and critical thinking abilities.
• Strong written and verbal communication skills, capable of effectively conveying complex information.
• Ability to interact and collaborate with senior management and cross-functional teams.
• Passion for data-driven decision-making and continuous improvement in analytics practices.
• Demonstrate the company’s core values of integrity, customer focus, innovation, and collaboration.
  
  

About The Company

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers!

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help other others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn More About Us Here

https://www.mercuryinsurance.com/about/careers

Perks And Benefits

We offer many great benefits, including:

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, paid Company holidays, and volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
  
  

Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.

Pay Range

USD $85,479.00 - USD $157,868.00 /Yr.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Insurance

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