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Senior Analyst – Strategic Planning, Data Analytics
Salesforce. Shape the long-term direction of the Customer Success organization through data-driven insights and strategic planning .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, statistical modeling, and data visualization, particularly using Tableau and SQL. Capable of driving strategic initiatives through data-driven insights and cross-functional collaboration.
Highest-signal resume keywords
Data AnalysisTableau Dashboard DevelopmentSQL ProficiencyStatistical Modeling with Python/RCross-Functional Collaboration
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 KnowledgeData ModelingPredictive Machine LearningData CleaningData VisualizationTableau Best PracticesFeature EngineeringAnalytics InnovationBusiness Analytics
Soft Skills
Interpersonal SkillsCommunication SkillsCoachingStrategic PlanningCollaboration
Tools & Technologies
TableauSQLPythonRTableauNext
Industry Keywords
Customer SuccessData-Driven InsightsFinancial Due DiligenceManagement ConsultingStrategic Planning
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Shape the long-term direction of the Customer Success organization through data-driven insights and strategic planning
- Drive product adoption strategy, analytics innovation, and scalable engagement motions
- Create scalable reporting assets to reduce ad-hoc requests and improve stakeholder access to insights
- Coach team members on Tableau and analytics best practices
- Analyze large and complex datasets, interpreting trends, patterns, and anomalies for strategic decision-making
- Perform detailed data analysis and develop complex data models
- Design, develop, and maintain interactive Tableau dashboards and reports
- Enable end-users through TableauNext
- Clean and preprocess data for analytics and machine learning
- Identify and create relevant data features
- Build predictive machine learning models under guidance of senior team members
- Collaborate with stakeholders to translate business requirements into data-driven solutions
- Work cross-functionally with engineering, product, business, data and analytics, and project/program management teams
- Support strategic initiative planning, design, and delivery
- Inform executive decision-making and build organizational consensus
Requirements
What you’ll need- Bachelor’s Degree in Data Science, Economics, Finance, Math/Statistics or a related field
- Minimum of 3 years of professional experience in roles requiring data, business analytics, financial due diligence, strategic planning and business acumen
- Proficiency with databases, including SQL
- Strong knowledge of statistics
- Experience using statistical packages such as Python/R and Tableau
- Strong experience with data visualization tools such as Tableau
- Knowledge of Tableau best practices, performance optimization techniques, and agentic capabilities
- Ability to synthesize multiple sources of information into a compelling strategic point of view
- Strong interpersonal and communication skills
- Familiarity with data and analytics concepts
- Ability to work with data professionals to translate insights into actionable recommendations
- Demonstrated cross-functional collaboration experience
- Experience managing complex projects and initiatives
- Background in management consulting or strategy highly preferred
Benefits
Comp & perks- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- AI agents to accelerate impact