Product Data Analyst
Costa Mesa, CA, United States
Experian
Experian is committed to helping you protect, understand, and improve your credit. Start with your free Experian credit report and FICO® score.Company Description
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in achieving their financial goals and helping them save time and money.
We operate across various markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As an FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com
Job Description
Reporting to the Lead Analytics Consultant, Experian Consumer Services is looking for a Data Analyst II focusing on user behavior reporting and working with the business stakeholders to provide performance updates, relevant insights, and deep-dive analyses. As a Data Analyst II, you will be an important member of the Data Science and Analytics Team responsible for translating requirements to data questions, writing complex SQL queries to extract the appropriate data from the data warehouse, compiling and cleansing the information, analyzing the data, providing information/insights to the business stakeholders by preparing reports/dashboards and optimizing our reporting processes. You will employ strategic data analysis to provide insight into online behaviors and identify opportunities to maximize outcomes. You will focus on product analytics and user behavior with our products, working with multiple teams, including Product, Integrated Marketing, UX, Technology, and Business Operations. You have technical expertise around data, reporting, and analytical approaches and how they can be applied to improve business decision-making and outcomes. You will be a partner with the business. You will excel in an environment where data collection, creative solutions, exploration of opportunity, and delivery of insight are expected functions of the position. This is a hands-on analytical role.
What you'll do
- Extract the appropriate data from the data warehouse, combine the data-finding insights into online behaviors, and identify opportunities to maximize engagement with the product.
- You will create and maintain Tableau dashboards that adapt to changing needs.
- Evaluate and analyze comprehensive member activity. Such as on-site engagement behavior, acquisition rates, communication touch points, billing persistency, and correlation with member retention and revenue to provide relevant insight to business leaders.
- You will conduct ongoing analyses of product projects and provide regular business analytics and insights to team members.
- Analytical methods are used to identify and analyze trends, patterns, and relationships in the data to provide answers to product engagement quality.
- You have used analytical tools to understand end-to-end customer behavior from membership entry to exit the site and conducted a pathing analysis to improve customer experiences, such as website and app user behavior, email engagement, conversion analysis, and marketing effectiveness.
- Work with BI and Engineering on data validations to prioritize and resolve data issues.
- Support dashboards, identify trends and/or issues within data sets, and make recommendations to influence decisions and investments.
- Collaborate with teams to develop and implement a high-quality quantitative data infrastructure, tracking and collecting relevant data to answer complex business questions and improve product performance.
- Present analytical results and insights to partners to answer strategic questions and influence decisions.
Qualifications
- 3+ years of professional experience in analytical/statistics-focused positions in an Internet environment.
- Experience in business analytics, quantitative reasoning, and metrics reporting with the capacity to support claims with correlating data points.
- Knowledge of relational database theory and proficiency in writing and understanding complex SQL code.
- Analytical thinker who can provide insight into online behaviors, activities and identify opportunities to improve the online experience.
- Bachelor's degree in a quantitative discipline, e.g., Mathematics, Statistics, Economics, or related field.
Additional Information
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including full medical, dental, vision, and matching 401K
- Flexible schedule, ability to work remotely, hybrid, or in-office
- Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people's agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people-first approach is award-winning: Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work, and Glassdoor Best Places to Work (globally 4.4 Stars), to name a few. Check out Experian Life on social media or our careers site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, regardless of gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Data analysis Data warehouse Economics Engineering Excel Mathematics RDBMS SQL Statistics Tableau UX
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Salary bonus Wellness
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