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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing analytical data models and data structures to support Business Intelligence and Analytics initiatives. Proficient in SQL and Python for data analysis, with a strong focus on data quality, governance, and the development of management dashboards in Power BI.
Highest-signal resume keywords
Advanced SQL ProficiencyPython For Data AnalysisPower BI Dashboard DevelopmentData Governance ExperienceDatabricks Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Mart DevelopmentETL ProcessesData Quality AssuranceAnalytical AnalysisKPI DevelopmentData Lakes KnowledgeData Warehouses KnowledgeCI/CD For Data PipelinesInfrastructure As Code Knowledge
Soft Skills
CollaborationCommunicationAnalytical ThinkingProblem SolvingInfluencing Decision-Making
Tools & Technologies
Power BIDatabricksAWSUnity CatalogDelta Lake
Certifications & Qualifications
Databricks Certified Data Engineer AssociateAWS Certified Data Engineer AssociateAWS Certified Solutions Architect
Industry Keywords
Business IntelligenceAnalytics EngineeringData GovernanceInsurance Industry
Tech Stack
Tools & technologiesAWSETLPythonSQLUnity
About the role
Key responsibilities & impact- Build and enhance analytical data models and Data Marts to support Business Intelligence, Analytics, and Artificial Intelligence initiatives.
- Develop and optimize data structures across analytical layers, ensuring performance, scalability, and reliability.
- Conduct exploratory and diagnostic analyses using SQL and Python to identify opportunities and trends and generate business insights.
- Develop and maintain management dashboards and reports in Power BI.
- Ensure data quality through validation, testing, and KPI monitoring.
- Map, document, and catalog business rules, KPIs, and data assets.
- Partner with business and technology teams, translating strategic needs into analytical solutions.
- Support the advancement of a data-driven culture by promoting the conscious and efficient use of information.
- Contribute to data governance initiatives, ensuring traceability, standardization, and accessibility of corporate data.
- Influence decision-making through data-driven analyses, metrics, and recommendations.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Statistics, Mathematics, or a related field.
- Proven experience in Analytics, Business Intelligence, Analytics Engineering, or related data functions.
- Advanced SQL proficiency.
- Experience using Python for data analysis and transformation.
- Experience working in Databricks and AWS environments.
- Strong knowledge of Data Lakes, Data Warehouses, and ETL/ELT processes.
- Experience with analytical modeling and the development of corporate KPIs.
- Experience with data quality and governance.
- Experience building executive dashboards and reports in Power BI.
- Experience in the insurance industry is a plus.
- Databricks Certified Data Engineer Associate or Professional certification is a plus.
- AWS Certified Data Engineer Associate or AWS Certified Solutions Architect certification is a plus.
- Knowledge of DataOps is a plus.
- Experience with CI/CD for data pipelines is a plus.
- Knowledge of Infrastructure as Code is a plus.
- Experience with Unity Catalog and Delta Lake is a plus.
Benefits
Comp & perks- Health Insurance
- Dental Insurance
- Funeral Assistance
- Transportation Allowance
- Meal Allowance
- Food Allowance
- 13th Food Allowance Benefit
- Group Life Insurance
- Private Pension Plan
- Childcare and/or Nanny Assistance
- Profit-Sharing and Results Bonus (PLR)
- Wellhub
- Birthday Day Off
- Desenvolve Program with more than 500 courses
- Integrated Health Program covering mental, social, financial, and physical well-being
