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Product Sr. Data Analyst

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 Data (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) and real-time dashboard development.
  • Proficient in summarizing large data volumes and complex questions into clear, applicable insights using quantitative reasoning.
  • Experienced with relational data sets, data warehouses, data mining, and data analysis techniques.
  • Provide insights into online behaviors and identifying opportunities to enhance the online experience.
  • Experience with uncovering trends and spotting anomalies.
  • Understanding of traffic metrics, online user behavior tracking, pathing behavior, segmentation, and 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.

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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Product Sr. Data Analyst, Experian

Exciting times await at Experian, where we are looking for a talented Senior Data Analyst to join our dynamic team in Centro Corporativo el Cafetal, Heredia, Costa Rica. As a key player within our Data Science and Analytics team, you will have the opportunity to dive deep into user behavior reporting and performance analysis, giving you a platform to translate complex data questions into clear insights. Your expertise will shine as you craft SQL queries, analyze data from various sources like Snowflake and AWS Redshift, and build engaging Tableau dashboards. Collaborating closely with cross-functional teams including Product, Marketing, and UX, you'll unveil opportunities that can transform the user experience across our consumer app. If you are passionate about applying your analytical skills to improve product performance and drive business decisions, Experian is the place for you! We pride ourselves on valuing growth and inclusiveness, making it an exciting opportunity for your professional journey. Join us in unleashing the power of data as we strive to create a better tomorrow together!

Frequently Asked Questions (FAQs) for Product Sr. Data Analyst Role at Experian
What are the main responsibilities of a Senior Data Analyst at Experian?

As a Senior Data Analyst at Experian, you'll be primarily responsible for user behavior analysis, crafting SQL queries, and developing insightful reports and dashboards. You'll leverage data from various platforms to identify trends and opportunities, contributing to business decisions and enhancing user experiences across our consumer app.

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What qualifications are needed to become a Senior Data Analyst at Experian?

To qualify as a Senior Data Analyst at Experian, you'll need a Bachelor's degree in a quantitative discipline such as Mathematics or Statistics, alongside 5+ years of relevant professional experience. Strong skills in SQL, experience with BI tools like Tableau, and a solid grasp of data analysis techniques are essential for this role.

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How does Experian support professional development for its Senior Data Analysts?

At Experian, we prioritize your professional growth, offering resources such as education reimbursement, mentorship programs, and performance bonuses. Our culture encourages continuous learning and collaboration, enabling you to refine your skills and advance your career within a supportive environment.

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What technologies will a Senior Data Analyst at Experian be working with?

In the role of Senior Data Analyst at Experian, you'll work with a range of technologies including SQL for data querying, Snowflake, AWS Redshift for data storage solutions, and Tableau for dashboard creation. Familiarity with data pipelines using Alteryx or Apache Airflow is also beneficial for this position.

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What is the company culture like at Experian for Senior Data Analysts?

The culture at Experian is vibrant, inclusive, and driven by a strong emphasis on teamwork. We value diversity, work-life balance, and encourage innovative thinking, which creates a supportive environment where Senior Data Analysts can thrive and make impactful contributions.

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Common Interview Questions for Product Sr. Data Analyst
Can you describe your experience with SQL and how you use it in data analysis?

When answering this question, highlight specific projects where you've used SQL effectively to extract and manipulate data. Discuss the complexities of the queries you've written, any performance optimizations you've implemented, and how your SQL skills have impacted the decision-making process within a project.

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What steps do you take before conducting an A/B test?

Outline the importance of hypothesis formation and ensuring that your sample size is statistically significant. Discuss your approach to defining success metrics and how you ensure a controlled environment for the test to yield meaningful results.

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How do you communicate complex data findings to non-technical stakeholders?

Emphasize your approach to simplifying data insights by using visual aids like dashboards or charts from tools such as Tableau. Describe your method of breaking down technical jargon into relatable terms while ensuring the core message is accurately conveyed.

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Give an example of how you've used data to improve product performance.

Be prepared to discuss a specific instance where your data analysis led to actionable insights that enhanced user experience or product features. Detail the analysis process, findings, recommendations, and the impact these changes had on the product.

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What experience do you have with data visualization tools, particularly Tableau?

Discuss your familiarity with Tableau and any specific dashboards you've created. Highlight how you tailor visualizations to address stakeholder queries, making complex data accessible and understandable.

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How do you prioritize data requests from various teams within the organization?

Explain your strategy for prioritization, such as assessing the business impact of each request or maintaining open communication with stakeholders to understand their urgency and needs. Stress the importance of aligning analytics work with overall business goals.

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What statistical methods do you find most useful for data analysis, and why?

Detail your experience with statistical methods such as regression analysis or cohort analysis. Discuss how you've applied these techniques to identify trends and inform strategic decisions, and why you believe they're effective in the context of product analysis.

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Can you explain a challenge you faced in your previous analytics role and how you overcame it?

Choose a relevant challenge, such as data quality issues or a difficult data set. Explain your problem-solving process, collaborative efforts, and how you ultimately achieved the desired outcome to highlight your resilience and analytical thinking.

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Describe your experience with data warehousing and relational databases.

Discuss your understanding and experience working with data warehousing solutions like Snowflake or AWS Redshift, as well as your ability to write complex SQL queries. Highlight how your knowledge of relational databases helps you in structuring and managing data efficiently.

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How do you keep yourself updated on the latest data analytics trends and tools?

Share your commitment to professional development through online courses, participating in relevant webinars, or engaging with communities focused on data analytics. Mention any industry publications or blogs that you follow to stay informed about the latest tools and methodologies.

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Full-time, hybrid
DATE POSTED
April 8, 2025

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