Senior Analytics Engineer

We're looking for a Senior Analytics Engineer who knows how to turn complex data assets into insight and measurable growth. This role bridges technical and analytical teams, translates raw data into clear, applicable intelligence while ensuring that we adopt, understands, and operationalizes new data assets.

You will combine technical skill, quantitative reasoning, and with a desire to connect data to decision-making. You'll write complex queries, build enterprise-grade Tableau dashboards, and create documentation that makes data accessible and reliable. You'll also partner directly with analysts, modelers, and partners to ensure they have the metrics, tables, queries, dashboards, pipelines, validation, and guidance they need to operate. You will report to Data Science Manager Senior.

Responsibilities:

• you will write efficient SQL to extract data for dashboards, reports, and ad hoc requests.
• Build enterprise-grade Tableau dashboards and analytical tools for clear, applicable insights.
• Collaborate with data engineers, scientists, and analysts to define and document accurate data assets.
• Allow adoption of new datasets through training, documentation, and partnership.
• Manage complex data structures and model outputs requiring custom logic.
• Perform ad hoc analyses to assess performance and guide decisions.
• Document data sources, metric lineage, and use cases in Confluence.
• Automate recurring data pulls and reporting workflows.
• Validate outputs to ensure data integrity and consistency.
• Communicate findings by reports, visualizations, and presentations.

Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team.

• 4+ years in data analysis, BI, or analytics engineering.
• Advanced SQL skills (complex joins, aggregations, window functions).
• Expertise in Tableau dashboard development.
• Experience with complex data structures and applying quantitative logic.
• Collaboration with technical and business teams to align requirements and increase adoption.
• Experience creating detailed technical documentation data concepts to partners.
• Experience delivering value through data.

• Benefits/Perks:

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.

• This is a fully remote job opportunity. #LI-Remote
• Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people 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 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, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.