Analytics Engineer II

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. You will report into the Insider Risk Director. You will repot into Analytics Consulting Consultant Lead.

·       Extract the appropriate data from the data warehouse, summarize the data finding insights into online behaviors and identify opportunities to maximize engagement with the product.

·       Maintain Tableau dashboards that adapt to changing our needs.

·       Work with BI and Engineering on data validations to prioritize and resolve data issues.

·       Achieve dashboards, identify trends or issues within data sets, and make recommendations to influence decisions and investments.

·       Collaborate with teams to develop and implement a high-quality infrastructure of quantitative data to track and collect important data to answer complex business questions and improve product performance.

·       Present analytical results and insights to business partners to answer strategic questions and influence decisions.

·       3+ years of professional experience in analytical/statistics focused position from an internet environment.

·       Experience in business analytics, quantitative reasoning and metrics reporting with the capacity to support claims with correlating data points.

·       Experience with Business Intelligence tools (Tableau, Alteryx) and real time dashboard development.

·       Can understand data, combining large volumes of data and complex questions into clear analyses and applicable findings using quantitative reasoning.

·       Demonstrate experience with relational data sets ( SQL) data warehouses, data mining and data analysis techniques.

·       Analytical thinker with the capacity to provide insight into online behaviors, activities and identify opportunities to increase the online experience.

·       Bachelor’s degree in quantitative discipline, e.g. Mathematics, Statistics, Economics or related field.

·       Web Analytics tools (e.g. Adobe Analytics, Google Analytics Premium) – familiar with

·       Microsoft excel (can maintain complex spreadsheets) and PowerPoint.

• 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.