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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills with proficiency in SQL, Power BI, and Python to conduct complex data analysis and develop analytical tools. Capable of collaborating with cross-functional teams to enhance data quality and translate insights into actionable strategies.
Highest-signal resume keywords
SQL ProficiencyPower BI ExperiencePython ProgrammingData Analysis SkillsStatistical Techniques
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 AnalysisData ModelingData Systems DevelopmentPredictive ModelingStatistical TechniquesData Pipeline ConstructionAlgorithm DevelopmentData Quality EnhancementTrend AnalysisData Integration
Soft Skills
Analytical MindsetDetail-OrientedCollaborativeCommunicativeCurious
Industry Keywords
Digital ProductsData ArchitectureData AcquisitionData InsightsInnovation
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Provide essential support to the Digital Products & Innovation department through data analysis tasks
- Organize large amounts of data
- Define trends and patterns
- Support data architects on projects
- Conduct complex data analysis and report on results
- Interpret trends and patterns
- Evaluate business needs and objectives
- Analyze and organize raw information from different sources
- Build data systems, pipelines, algorithms, and prototypes
- Develop analytical tools and programs
- Explore ways to enhance data quality and reliability
- Prepare data for prescriptive and predictive modeling
- Identify opportunities for data acquisition
- Collaborate with data scientists and architects on several projects
Requirements
What you’ll need- Strong analytical mindset and enjoyment of solving complex problems with data
- Proficient in SQL
- Experienced with Power BI and Python
- Comfortable working with large datasets and integrating data from multiple sources
- Skilled in using statistical techniques and data modeling to uncover insights
- Knowledge of R, or similar languages for data analysis is a plus
- Detail-oriented, with the ability to translate raw data into clear and actionable insights
- Collaborative and communicative, able to work effectively with technical and non-technical stakeholders
- Curious, proactive, and eager to improve processes and contribute to innovation
- Resume in English required
- Notice period availability in days required on application
Benefits
Comp & perks- Flexible working hours
- International team
- Birthday Leave