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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise analytics strategies, developing frameworks for KPIs, and driving data governance initiatives. Proficient in translating complex data into actionable insights for executive decision-making and fostering a culture of self-service analytics.
Highest-signal resume keywords
Advanced Proficiency In SQLExperience With Power BIExperience With SnowflakeStatistical Analysis And Predictive ModelingLeading Analytics Teams
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 AnalyticsBusiness IntelligencePredictive ModelingData GovernanceStatistical AnalysisBusiness ModelingKPI DevelopmentScenario ModelingTrend AnalysisData Warehousing
Soft Skills
LeadershipMentoringCommunicationCollaborationCuriosity
Tools & Technologies
Power BITableauLookerSnowflakeDatabricksAzureAWSExcel
Industry Keywords
Enterprise AnalyticsData QualityCompliancePrivacyRegulatory Requirements
Tech Stack
Tools & technologiesAWSAzureCloudSQLTableau
About the role
Key responsibilities & impact- Lead enterprise analytics strategy and insight generation
- Translate complex data into executive-level recommendations and business actions
- Develop frameworks for measuring financial, operational, customer, and commercial KPIs
- Deliver weekly, monthly, quarterly, and annual business reviews
- Own enterprise reporting platforms, dashboards, and scorecards
- Establish reporting standards, KPI definitions, and data governance processes
- Drive adoption of self-service analytics across the organization
- Ensure accuracy, consistency, and usability of reporting assets
- Lead predictive analytics and forecasting initiatives
- Develop models for customer behavior, churn, retention, demand planning, pricing, marketing effectiveness, and operational performance
- Support strategic planning through scenario modeling and trend analysis
- Partner with executive leaders to identify opportunities and risks
- Advise on analytics-driven decision-making
- Present findings to senior leadership, board members, and business stakeholders
- Translate analytical findings into clear business actions
- Build, mentor, and develop teams of analysts, BI developers, and data scientists
- Establish team priorities and performance objectives
- Foster curiosity, innovation, accountability, and business partnership
- Lead data governance initiatives and data quality programs
- Establish definitions, standards, and controls for enterprise data assets
- Ensure compliance with privacy, security, and regulatory requirements
- Work 40+ hours weekly with flexible hours and travel 10–20% of the work schedule
Requirements
What you’ll need- Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or related field
- 8+ years of progressive experience in analytics, business intelligence, data science, or related disciplines
- 5+ years leading analytics teams
- Experience supporting executive leadership and enterprise-wide decision making
- Proven success delivering measurable business outcomes through analytics
- Advanced proficiency in SQL
- Experience with Power BI, Tableau, Looker, or equivalent visualization platforms
- Experience with Snowflake, Databricks, Azure, AWS, or modern cloud data platforms
- Statistical analysis and predictive modeling
- Data warehousing and data governance concepts
- Advanced Excel and business modeling
- Flexibility of hours; some nights and weekends required
- Must pass level 1 and level 2 background checks and drug screening
- Must be at least 21 years of age
- Must be able to move throughout the facility, including tight spaces
- Must be able to push/pull, lift/carry, and position objects up to 25 lbs
- Must have visual and auditory acuity with or without aids
- Must frequently remain seated
Benefits
Comp & perks- A comprehensive benefits package including paid time off
- Flexible hours
- Equal employment opportunity protections
- Drug-free workplace
