Mid-level Data Analyst – Statistics, Machine Learning

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🕒 May 26

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Mercafacil

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🛍️ eCommerce

🤝 B2B

🛒 Retail

💰 Venture Round on 2021-12

eCommerce • B2B • Retail

Mercafacil is a technology company designed to enhance the retail sector, particularly supermarkets, by utilizing customer behavior data to optimize sales strategies. Their comprehensive solutions integrate CRM, e-commerce, and trade promotions to improve customer retention and increase average transaction values. With over 4,500 stores using their platform and 100 integrated ERPs, Mercafacil aims to streamline operations and drive profitability for their clients in both physical and online retail environments.

📋 Description

• You will bring statistical rigor to business decisions. • Within the BI team, your mission is to go beyond descriptive analysis by applying statistical and machine learning models to uncover patterns, validate hypotheses, and generate forecasts that guide real business strategies. • Conduct statistical analyses to answer business questions: hypothesis testing, correlation analysis, segmentation, and predictive modeling; • Perform exploratory data analysis (EDA) to understand the data before modeling, identifying patterns and inconsistencies; • Write complex SQL queries in ClickHouse and BigQuery to extract and prepare data for analysis and modeling; • Use Python for data manipulation, exploratory analyses, and model prototyping; • Communicate results and insights clearly to business teams — translating statistics into decisions; • Collaborate with the BI team to define metrics, ensure data quality, and establish analytical best practices; • Monitor models in production, track performance, and propose continuous improvements.

🎯 Requirements

• Currently pursuing a bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related field; • Proficiency in Python for data analysis; • Strong applied statistics knowledge: hypothesis testing, regression, distributions, confidence intervals; • Experience with supervised modeling: classification and regression, and familiarity with model evaluation metrics (MAPE, RMSE, etc.); • Solid SQL skills for complex analyses (CTEs, window functions, large-scale aggregations); • Development best practices: organized code, use of Git, basic tests; • Ability to work autonomously and communicate effectively with stakeholders from different areas; • Experience with ClickHouse and BigQuery; • Knowledge or experience in Retail; • Experience with Spark for large-volume analysis and processing; • Familiarity with orchestration or model versioning tools (Airflow or similar); • Portfolio of analyses or projects demonstrating applied statistical reasoning.

🏖️ Benefits

• Medical insurance (SulAmérica or Central Nacional Unimed, depending on region) for you and your dependents with no monthly premium and with co-pay based on usage; • Dental coverage (Odontoprev) for you and your dependents with no monthly premium and with co-pay based on usage; • Dasa telemedicine with multiple online consultation options, no referral required and no co-pay; • "Meu Doutor" family doctor service available to employees and dependents enrolled in the medical plan; • Pregnancy program (for employee or dependent), supporting a safer and more comfortable experience during pregnancy, childbirth, and postpartum; • Free flu vaccine for you and your dependents; • Prevenar 13 vaccine to help protect against 13 types and subtypes of pneumococcal bacteria; • Life insurance; • Wellhub; • Extended maternity and paternity leave; • Flexible benefits via the Caju card (meal and food allowance – VR/VA); • Birthday off so you can celebrate your birthday; • Day off for moving house; • Extended honeymoon leave to enjoy your honeymoon in peace; • No dress code; • Performance reviews; • Corporate University; • Culture of feedback and frequent 1:1s.