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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing customer behavior and providing actionable insights to enhance CRM and loyalty programs. Proficient in data manipulation, statistical analysis, and machine learning applications to support strategic decision-making.
Highest-signal resume keywords
SQL ProficiencyPython ProgrammingData Visualization with Power BIStatistical AnalysisMachine Learning Concepts
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 AnalysisStatistical AnalysisA/B TestingData ManipulationCustomer Behavior AnalysisProgramming LogicBig Data TechnologiesExcel PivotTablesAgile MethodologiesDigital Metrics Understanding
Soft Skills
Strong Communication SkillsAnalytical ThinkingBusiness-Focused Approach
Tools & Technologies
Power BIJupyter NotebookPySpark
Industry Keywords
CRMLoyalty ProgramsConsumer InsightsMember AcquisitionRetention Metrics
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Serve as the strategic analytical data pillar for loyalty and CRM within the assigned client account
- Analyze customer behavior and provide insights to support growth strategies for CRM, loyalty programs, and brands
- Collaborate with business teams to understand pain points and challenges, and provide actionable studies, insights, and analytical solutions
- Participate in advanced data and machine learning projects focused on personalization, experience enhancement, and consumer journey optimization
- Support strategic decisions for brands and loyalty programs through consumer insights
- Conduct statistical analyses of the customer lifecycle and purchasing behavior
- Analyze the effectiveness and return on investment of CRM and loyalty campaigns through A/B testing
- Plan, analyze, and monitor member acquisition and retention metrics for the loyalty program
- Participate in machine learning projects for audience personalization across CRM and media
- Extract, manipulate, and transform large volumes of data
- Develop reports, dashboards, and strategic tracking tools in Power BI
- Manage CRM and loyalty Business Intelligence projects and vendors, ensuring deliverables are completed within established deadlines
Requirements
What you’ll need- Strong ability to communicate technical concepts to non-technical audiences
- Strong analytical skills with a business-focused approach
- Proficiency in programming logic and Big Data technologies, including SQL, Python, PySpark, Jupyter Notebook, and related tools
- Intermediate Excel skills, including PivotTables, formulas, and calculated fields
- Basic knowledge of project management and Agile methodologies
- Knowledge of data visualization tools, particularly Power BI
- Basic understanding of machine learning concepts and applications
- Basic knowledge of digital concepts and metrics, including sessions, CTR, conversion, and related indicators
Benefits
Comp & perks- Priority consideration in hiring for underrepresented groups, including people over 45, Black and brown people, Indigenous people, LGBTQIA+ community members, and people with disabilities
- Diverse and inclusive work environment
- Individuality respected and valued
