Director, Strategy & Business Analytics
New
J
JobgetherBusiness Analytics
Based in United StatesFull-TimeDirector
Salary191,500 - 220,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BITableauData modelingdbt
Requirements
- Bachelor’s degree in a quantitative, analytical, or business-related field required; advanced degree preferred.
- 10+ years of experience in business analytics, strategy, data analysis, or a related field.
- Proven record of hands-on analytical execution.
- Experience presenting complex analyses and recommendations to C-suite executives and senior leadership teams.
- Experience partnering across multiple business functions and influencing decisions through data-driven insights.
- Strong SQL skills with regular experience extracting, analyzing, and interpreting data.
- Experience with business intelligence and visualization platforms such as Sigma, Power BI, Tableau, or similar tools.
- Working knowledge of dbt and modern data transformation workflows.
- Strong understanding of statistical analysis methods, including descriptive statistics, regression, segmentation, hypothesis testing, and forecasting.
- Ability to interpret machine learning outputs, identify relevant use cases, and communicate results to non-technical audiences.
- Exceptional written and verbal communication skills.
- Strong business judgment with the ability to identify the right questions.
Responsibilities
- Independently lead analytical projects across multiple business areas to improve performance, efficiency, and strategic outcomes.
- Proactively identify business challenges, performance gaps, and emerging opportunities.
- Translate complex business questions into structured analytical approaches by defining objectives and methodologies.
- Build advanced analyses, business models, dashboards, and reporting solutions.
- Present findings, recommendations, and strategic perspectives to senior leadership and executive stakeholders.
- Develop and maintain self-service dashboards for business teams.
- Apply statistical techniques including segmentation, regression, hypothesis testing, and forecasting.
- Analyze machine learning outputs and translate technical results into practical recommendations.
- Partner with Data Engineering and Analytics Engineering teams to address data requirements and improve data models.
- Support the long-term growth of the Business Analytics function by mentoring and developing analytics professionals.
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