Senior Business Analytics Analyst

Description

Job Summary: You will work as a Senior Business Analytics Analyst, focusing on developing analytical projects, data modeling, and applying AI/ML for business insights. Key Highlights: 1. Lead Data Science and Advanced Analytics projects technically. 2. Apply Artificial Intelligence and Machine Learning to business problems. 3. Contribute to advancing the analytical maturity of the area. **About Elo** **We are a 100% Brazilian company!** Elo is one of the leading payment technology companies in Brazil. With over ten years of history and more than 43 million active cards in partnership with 38 issuers. With our innovative, Brazilian DNA, our mission is to foster digital payment inclusion in Brazil. We offer a comprehensive portfolio of credit, debit, prepaid, and specialized cards for individuals and businesses. Additionally, we design customized solutions for enterprises—whether through our tokenization and fraud prevention platforms, contactless payments via QR Code and NFC, or our specialized consulting services aimed at generating more business for our partners. We respect individuality and promote an inclusive culture that seeks equity and values differences (e.g., gender, religion, persons with disabilities, LGBTQIAP+, race and ethnicity). All our job openings reflect this commitment. Want to learn more about Elo? Visit: https://www.elo.com.br/ Interested? Then come discover more about the challenge we have for you! **Our Business Analytics Team** **Team Responsibilities and Challenges:** * Develop analytical projects emphasizing data that supports business decision-making; * Conduct market and benchmark studies, extracting insights for business teams; * Knowledge of data science tools applied to business analytics; * Support and evolve data products. **Responsibilities and Duties** *As a* *Senior Business Analytics Analyst,* *you will:* * Prepare, model, and structure large volumes of data using SQL, ensuring quality, performance, and governance; * Create, implement, and maintain advanced statistical and analytical models, including predictive, prescriptive, and forecasting models; * Develop advanced studies and analyses using statistical software and programming languages (Python/R), with a focus on delivering business value; * Apply Artificial Intelligence and Machine Learning techniques to real-world business problems—from conception through operationalization of models; * Collaborate with business areas to define metrics, KPIs, and analytical hypotheses, influencing strategic decisions; * Develop executive presentations with analytical results, using data storytelling for diverse audiences (technical and non-technical); * Lead Data Science and Advanced Analytics projects technically, supporting junior analysts and ensuring best practices; * Work within AWS environments, consuming and analyzing data in cloud architectures (e.g., S3, Redshift, Athena); * Contribute to advancing the analytical maturity of the area by proposing new approaches, tools, and analytical solutions. **Requirements and Qualifications** For this challenge, we require that you: * Are highly analytical, curious, and possess strong critical thinking skills; * Have solid experience with SQL for complex data analysis and modeling; * Have proven experience in statistical modeling (supervised and unsupervised models, clustering, classification, regression, forecasting, etc.); * Are proficient in statistical programming languages (Python and/or R) applied to Analytics and Data Science; * Have practical experience with Machine Learning and Artificial Intelligence applied to business problems; * Have knowledge and hands-on experience in AWS environments (e.g., S3, Redshift, Athena, Glue, EMR, SageMaker, and related tools); * Can translate business problems into scalable analytical solutions; * Hold a bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related fields; Additionally, the following would be advantageous: * Postgraduate degree, MBA, or specialization in Data Science, Analytics, or related fields; * Prior experience in Payment Methods, financial services, or large-scale transactional environments; * Experience with MLOps, automation of analytical pipelines, or deploying models into production; * Experience with visualization tools (Power BI, Tableau, or similar). **Additional Information** **To work at Elo, we seek individuals who:** * Demonstrate proactive attitudes and strive to exceed results; * Respond quickly to change, maintaining focus and simplicity in executing their work; * Collaborate effectively as part of a team, sharing knowledge and recognizing the performance and importance of each colleague; * Value open dialogue and honest feedback; **These reflect our cultural pillars: “Collaborate, Exceed Results, Innovate & Experiment, Customer-Centric, Play Fair”.** **At Elo, culture embodies our “Elo Way” of getting things done!** **Check out our benefits and perks:** * Profit Sharing Program (PPR); * Health Insurance (Bradesco – Co-payment); * Optional Dental Insurance (Bradesco); * Life Insurance (Banco do Brasil); * Optional Private Pension Plan (with up to 7.8% salary contribution and Elo matching between 100% and 200%, per plan rules); * Meal/food allowance of BRL 1,800.00; * Free Balance of BRL 150.00 for credit card use; * Christmas Card worth BRL 850.00; * Home Office Allowance (BRL 200.00 for hybrid model; BRL 300.00 for fully remote); * Mobility Allowance of BRL 400.00; * Free Parking; * Daycare Assistance for mothers and fathers; * Culture Allowance (to be used at theaters, cinemas, or bookstores); * Extended Parental Leave (for same-sex couples, fathers, adoptive parents, etc.); * Birthday Day Off; * Well-being Platform focused on mental and nutritional health; * WellHub and TotalPass (network of gyms and studios for sports activities). **Important:** **Our company offers three work modalities: hybrid, in-office, and fully remote—though the adopted modality may vary depending on the specific dynamics and needs of each department.** **Our office is located in Barueri/SP at Alameda Xingu, 512 – Alphaville Industrial.** We are one of the leading payment technology companies in Brazil, with over ten years of history and more than 43 million active cards in partnership with 38 issuers. With our uniquely Brazilian and innovative approach, our **mission is to foster digital payment inclusion in Brazil**. We offer a comprehensive portfolio of credit, debit, prepaid, and specialized cards for individuals and businesses. Additionally, we design customized solutions for enterprises—whether through our tokenization and fraud prevention platforms, contactless payments via QR Code and NFC, or our specialized consulting services aimed at generating more business for our partners. Want to learn more about us? Visit elo.com.br