FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced proficiency in SQL, dbt, and Python for data processing and analytics, while effectively designing and maintaining data models for business intelligence and reporting. Collaborates with stakeholders to ensure data quality and consistency across analytical solutions.
Highest-signal resume keywords
Advanced Proficiency In SQLHands-On Experience With DbtExperience With Databricks And AzureProficiency In Python For Data ProcessingExperience With Power BI Data Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytics EngineeringData EngineeringData Transformation WorkflowsData Quality AssuranceData ValidationLayered Data ModelsPricing Engine SupportKPI HarmonizationAnalytical Data SolutionsPrice Elasticity Analysis
Soft Skills
Analytical SkillsProblem-Solving SkillsAttention To DetailCommunication SkillsCollaboration Skills
Tools & Technologies
Power BIDbtDatabricksAzure
Industry Keywords
Business IntelligenceData ArchitectureCommercial AnalyticsPricing Performance MetricsData Governance
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Design, maintain, and evolve data models powering business intelligence and analytical solutions
- Own and evolve the layered dbt data model for reliable data consumption across Power BI and downstream applications
- Develop and maintain data transformation workflows using dbt and SQL
- Extend data models to support the pricing engine MVP, including item categorization and price elasticity analysis
- Harmonize business KPIs across regions to support a common pricing methodology
- Build and optimize analytical data solutions using Databricks and Azure
- Apply Python for data processing, analysis, and automation
- Develop and maintain Power BI data models for accurate reporting and business insights
- Ensure data quality, consistency, and usability across analytical models and downstream applications
- Collaborate with business stakeholders, data teams, and regional teams to translate analytical requirements into scalable data solutions
- Contribute to improvements in data architecture, modeling practices, and analytics engineering standards
Requirements
What you’ll need- Strong experience in analytics engineering, data engineering, or a related data-focused role
- Advanced proficiency in SQL
- Hands-on experience with dbt
- Experience designing and maintaining layered data models for analytics and business intelligence
- Experience with Databricks and Azure data environments
- Proficiency in Python for data processing, analysis, or automation
- Experience with Power BI, particularly data modeling and preparing data for reporting and analytics
- Strong understanding of data quality, data validation, and consistent metric definitions
- Ability to translate business requirements into robust, reusable data models
- Strong analytical and problem-solving skills, with attention to detail and data accuracy
- Excellent communication and collaboration skills, including the ability to work with stakeholders across different regions
- Nice to have: experience supporting pricing, revenue optimization, or commercial analytics initiatives
- Nice to have: knowledge of price elasticity, product categorization, and pricing performance metrics
- Nice to have: experience harmonizing KPIs and business definitions across regions or markets
- Nice to have: familiarity with modern data architecture and scalable analytical data platforms
- Nice to have: experience with data testing, documentation, lineage, and governance practices
- Nice to have: ability to balance technical modeling decisions with business priorities and analytical needs
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Health and well-being team, inclusion specialists, and affinity groups
- Support and accommodations for persons with disabilities during the selection process
