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Senior Product Data Analyst, Marketplace - job 2 of 2

Company Description

About us, but we'll be brief

Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. 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 to accomplish their financial goals and help them save time and money.

We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. Also, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine. Experian prioritizes our culture and look to bring people to the team who are passionate about their jobs, who are easy to work with, and who continue to value team over self.

We have 23,000 people operating across 44 countries and every day we're investing in new technologies, experienced people, and new ideas to help all our clients maximize every opportunity.

Job Description

Experian Consumer Services is looking for a Senior Product Analyst to focus on user behavior reporting, performance updates, and deep-dive analyses. As part of the Data Science and Analytics Team, you'll translate requirements into data questions, write complex SQL queries, compile and cleanse data, analyze it, and prepare reports/dashboards. You'll provide insights into online behaviors and identify opportunities to maximize outcomes, focusing on product analytics and user behavior with our consumer app. You'll collaborate with Product, Integrated Marketing, UX, Technology, and Business Operations.

You'll bring technical expertise in data, reporting, and analytical approaches to improve business decision-making. This hands-on role reports to the Director of Analytics.

What you'll do

  • Manage SQL code for data transfer between Snowflake, AWS Redshift, S3, and other data warehouses.
  • Create tables and data pipelines using Alteryx/Apache Airflow for monitoring and reporting.
  • Develop Tableau dashboards.
  • Analyze member activity (e.g., engagement behavior, acquisition rates, communication touch points, billing persistency) to provide insights on retention and revenue.
  • Use analytical tools to understand customer behavior and improve experience (e.g., website/app user behavior, email engagement, conversion analysis, marketing effectiveness).
  • Conduct A/B testing, cohort analysis, regression analysis, and other statistical methods to uncover insights.
  • Collaborate with BI and Engineering to resolve data issues.
  • Provide dashboard solutions, identify trends/issues in data, and make recommendations.
  • Develop and implement quantitative data infrastructure to answer business questions and improve product performance.
  • Present analytical results and insights to partners to influence decisions.

Qualifications

  • Bachelor's degree in quantitative discipline, e.g. Mathematics, Statistics, Economics or related field, or equivalent experience.
  • 5+ years of professional experience in analytics/statistics.
  • 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 proficient in writing and understanding complex SQL code.
  • Experience with Business Intelligence tools (Tableau, Alteryx) and real-time dashboard development.
  • Can understand data, summarizing large volumes of data and complex questions into clear analyses and applicable findings using quantitative reasoning.
  • Demonstrate experience with relational data sets, data warehouses, data mining and data analysis techniques. Analytical thinker with the capacity to provide insight into online behaviors, activities and identify opportunities to improve the online experience.
  • Uncover trends and spot anomalies.
  • Demonstrated understanding of the following concepts as they relate to web analysis: Traffic metrics Online user behavior tracking Pathing behavior Segmentation Data-driven analytical thinking

Additional Information

This is a permanent hybrid role in Costa Rica. No relocation available.

Culture at Experian

Our uniqueness is that we value yours.

Experian's culture, people, and environments are main differentiators. We take our people's agenda very seriously. We focus on what matters; diversity and inclusion, work/life balance, flexible work, development, engagement, collaboration, wellness, rewards & recognitions, volunteering... the list goes on!

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

#LI-Hybrid

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a successful, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is necessary to our purpose of creating a better tomorrow. For us, this is The Power of YOU and it ensures that we live what we believe.

Experian Glassdoor Company Review
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CEO of Experian
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Jennifer Schulz
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Average salary estimate

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What You Should Know About Senior Product Data Analyst, Marketplace, Experian

Join Experian as a Senior Product Data Analyst in our vibrant office in Heredia, Costa Rica! We’re leading the charge in global information services, and our mission is all about using data to unlock new opportunities across various sectors. In this role, you will dive deep into user behavior analytics within our consumer app. Your expertise will help shape product improvements as you translate complex data questions into actionable insights. Using your skills in SQL, you will manage data transfer across platforms like Snowflake and AWS Redshift, while also creating visual dashboards in Tableau. From A/B testing to cohort analysis, your analytical thoughts will guide our Product, Marketing, and UX teams in maximizing revenue and customer retention. Collaborating with different departments, you will play a key role in influencing decisions with your findings, ultimately helping to refine the user experience and drive business success. Plus, at Experian, we not only value your analytical skills but also prioritize a culture where people thrive. With flexibility in work and a diverse environment, you can be sure we bring people together who are passionate about their roles. Ready to make waves with us?

Frequently Asked Questions (FAQs) for Senior Product Data Analyst, Marketplace Role at Experian
What are the key responsibilities of a Senior Product Data Analyst at Experian?

As a Senior Product Data Analyst at Experian, you'll manage SQL code for data transfer and create data pipelines using tools like Alteryx and Apache Airflow. Your core responsibilities will revolve around analyzing user behavior, developing insightful dashboards, and conducting statistical tests to understand customer interactions. In this collaborative role, you'll work closely with multiple teams to ensure we effectively meet business objectives while maximizing user experience.

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What qualifications are necessary to apply for the Senior Product Data Analyst position at Experian?

To be a successful candidate for the Senior Product Data Analyst role at Experian, you should hold a Bachelor's degree in a quantitative discipline, such as Mathematics or Economics, with a minimum of 5 years of experience in analytics. Proven expertise in SQL coding, business intelligence tools like Tableau, and data analysis techniques is critical. Moreover, demonstrating a clear understanding of user behavior analytics will set you apart in this dynamic position.

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How does Experian support the career growth of a Senior Product Data Analyst?

Experian places great emphasis on employee development and growth. As a Senior Product Data Analyst, you will have access to ongoing training, educational reimbursement options, and mentoring opportunities to enhance your professional skills. Additionally, our culture promotes collaboration and teamwork, providing a rich environment for sharing knowledge and insights that contribute to your career advancement.

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What tools and technologies are used in the Senior Product Data Analyst role at Experian?

In your role as a Senior Product Data Analyst at Experian, you will utilize various tools and technologies including SQL databases for data manipulation, Tableau for dashboard creation, and Alteryx for data preparation. Familiarity with platforms like Snowflake and AWS Redshift will also be advantageous as you manage data across different repositories for comprehensive analysis.

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What makes Experian an appealing workplace for a Senior Product Data Analyst?

Experian stands out as an employer for a Senior Product Data Analyst due to its commitment to fostering a diverse, inclusive, and supportive work culture. The company values work-life balance with flexible work options and promotes a collaborative environment. Such a culture not only enhances job satisfaction but also encourages professional growth and innovation, making it a fantastic place to develop your career.

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Common Interview Questions for Senior Product Data Analyst, Marketplace
Can you explain a complex SQL query you've written in your previous role?

When responding, focus on how you approached the problem, the reason for the complexity, and results achieved. Highlight your ability to manipulate data effectively and ensure clarity in your explanation, showcasing your technical skills and understanding.

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How do you ensure the accuracy of your data analyses?

Emphasize your data validation strategies, such as regular audits, cross-referencing with other sources, and methodical documentation. Discuss the importance of careful data cleaning and integrity checking, proving your commitment to accuracy in analysis.

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What techniques do you use to analyze user behavior?

Discuss methodologies like A/B testing, cohort analysis, and segmentation. Share specific examples of how you've implemented these techniques to derive actionable insights, which ultimately drove product improvements or marketing strategies.

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Describe a time when you presented data analysis to a non-technical audience.

Focus on your ability to simplify complex information, using visuals or analogies, and how you tailored your message to ensure comprehension. Highlight the feedback received and the positive impact your insights had on decision-making.

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How do you prioritize projects when dealing with multiple data demands?

Discuss your strategic approach to prioritization, such as assessing business impact, deadlines, and resource availability. Mention tools or methods you use to manage your tasks effectively, demonstrating your organizational skills.

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What is your experience with statistical analysis methods?

Share specific statistical techniques you are proficient in, such as regression analysis or hypothesis testing, and provide examples where you applied these methods to solve analytical problems within your organization.

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How have you influenced product improvements through your data insights?

Provide concrete examples where your analysis led to actionable recommendations, showcasing how your insights directly impacted product strategy or user engagement metrics, reflecting your analytical influence.

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Can you explain a time when you identified a major trend from your data analysis?

Detail how you observed patterns or shifts in user behavior or product performance, the tools you used to identify the trend, and the subsequent measures taken to capitalize on this insight.

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What challenges have you faced in your previous data analysis projects?

Be honest about challenges like data quality issues, resource limitations, or stakeholder miscommunication, explaining the steps you took to overcome these difficulties and what you learned from them.

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How would you approach working with a remote team on data analysis projects?

Outline your communication strategies to ensure collaboration, such as using project management tools and regular check-ins. Highlight how you'd navigate time zone differences and establish a clear, organized workflow.

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DATE POSTED
March 19, 2025

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