Data Analyst, Mid-level
Brasil TecPar
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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About the role
- Structure, organize, integrate, and maintain analytical databases from multiple internal and external sources, ensuring consistency, integrity, and reliability of information.
- Perform data cleaning, validation, and standardization, applying statistical techniques to ensure data quality and analytical accuracy.
- Develop and maintain analytical and statistical models, including regressions, time series, multivariate analyses, segmentations, and clustering.
- Work on data modeling for demand studies, market potential, customer behavior, churn, performance, and risk.
- Work with georeferenced datasets (geomarketing), integrating territorial, demographic, and socioeconomic data for spatial analyses and market expansion.
- Create dashboards, executive reports, and analytical datasets that translate large volumes of data into strategic insights with solid quantitative foundations.
- Support Marketing and Commercial teams with data-driven analyses, ensuring methodological alignment and statistical reliability.
- Monitor indicators, metrics, and KPIs, proposing continuous improvements to the analytical framework and information processes.
- Contribute to the development of data governance, including best practices for documentation, version control, and standardization of analytical datasets.
- Identify opportunities to increase efficiency, competitiveness, and analytical accuracy through structured and intelligent use of data.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Economics, Information Systems, or a related field.
- Proven experience in data analysis and modeling.
- Proficiency in statistical and analytical techniques (regression, time series, multivariate analysis, clustering).
- Experience working with and processing large datasets.
- Knowledge of visualization and BI tools (e.g., Power BI, Tableau, or similar).
- Proficiency in SQL and strong data modeling skills.
- Analytical, critical, and results-oriented profile, with good communication skills to translate data into business insights.
Benefits
- RVI - Incentive variable compensation
- Profit Sharing (PLR)
- Childcare assistance
- Life insurance
- Meal voucher
- Food allowance
- Transportation voucher
- Mobility allowance
- Unimed health plan
- Dental plan
- Gym discounts (TotalPass)
- C4Life (employee benefit program)
- Discounted internet and mobile phone plans
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleaningdata validationdata standardizationstatistical techniquesregressiontime seriesmultivariate analysisclusteringdata modelingSQL
Soft Skills
analyticalcritical thinkingresults-orientedcommunication