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Mid-Level Data Analyst
SysMap Solutions. Build, optimize, and maintain SQL queries for data extraction and analysis .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL for complex query building and data analysis, with experience in GCP/BigQuery and Power BI for data visualization and reporting. Capable of conducting exploratory analyses and ensuring data quality and consistency across various sources.
Highest-signal resume keywords
Advanced SQL ProficiencyGCP/BigQuery ExperienceData Manipulation and CleansingPower BI KnowledgeExploratory Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData AnalysisData ModelingData ValidationData CleansingQuery OptimizationRelational DatabasesExploratory AnalysisBusiness Rule DocumentationAnalytical Solution Development
Soft Skills
Independent WorkClear CommunicationProblem-SolvingPrioritizationAdaptability
Tools & Technologies
GCPBigQueryPower BIExcel
Industry Keywords
Data ExtractionData AnalysisBusiness InsightsData ConsistencyData Quality
Tech Stack
Tools & technologiesBigQueryGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Build, optimize, and maintain SQL queries for data extraction and analysis
- Conduct exploratory and diagnostic analyses to address business needs
- Investigate discrepancies and inconsistencies in databases, proposing solutions and corrections
- Join and analyze large volumes of data to identify patterns, opportunities, and risks
- Develop ad hoc studies and analyses with minimal guidance
- Ensure the quality, reliability, and traceability of the information generated
- Document business rules, assumptions, and analysis results
- Present conclusions and recommendations clearly to technical and business teams
- Work independently to prioritize and execute project requests
- Quickly build an understanding of the business context and data sources
- Deliver high-quality analyses in a dynamic environment with multiple demands
- Independently build analytical solutions, from understanding the problem through delivery of the results
- Ensure data consistency across different sources and business rules
- Contribute to the evolution of the project through data-driven insights and recommendations
Requirements
What you’ll need- Experience as a Mid-Level Data Analyst
- Advanced SQL proficiency for building complex queries
- Experience with GCP/BigQuery or similar environments
- Experience with data manipulation, cleansing, and validation
- Knowledge of data modeling and relational databases
- Experience conducting exploratory analyses and investigating business problems using data
- Knowledge of Power BI for consuming and validating metrics
- Knowledge of query performance best practices and optimization
- Experience documenting analyses and business rules
- Knowledge of SQL
- Knowledge of GCP/BigQuery
- Knowledge of Power BI
- Knowledge of Excel
Benefits
Comp & perks- Open to applicants with disabilities
- Contractor engagement (PJ)