Sr Technical Product Analyst
Remote, United States
Overview
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/careersPerks 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. ApplyJob Profile
Work from anywhere in the United States for most positions
Benefits/PerksBonus potential Company recognition Competitive compensation Competitive salary Diverse perspectives Flexibility Fully remote Incentive bonus programs Innovation Paid Time Off Variety of benefits
Tasks- Analyze user behavior
- Anomaly detection
- Cross-Functional Collaboration
- Dashboard Development
- Data collection & insights
- Improve user experience
- Insurance domain knowledge
- Ownership of analytics areas
- Support product roadmap
Analytical Anomaly Detection C Coaching Collaboration Communication Continuous Improvement Critical thinking Dashboard Development Data analysis Data engineering Data Mining Data Science Data Visualization Dbt ETL Innovation Insurance Insurance Domain Knowledge Insurance sales P&C Insurance Power BI Problem-solving Product analytics Python Relational databases Reporting Sales SQL Statistical analysis User Experience
Experience5 years
EducationBachelor's degree Computer Science Degree Mathematics Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9