Quick Summary
Key Responsibilities
Business Problem Translation & Value Creation Partner directly with business leaders to understand strategic priorities, operational challenges,
Requirements Summary
5+ years of experience in analytics, business intelligence, consulting, analytics engineering,
Technical Tools
OtherLead
Responsibilities
~2 min readBusiness Problem Translation & Value Creation
- →Partner directly with business leaders to understand strategic priorities, operational challenges, and growth opportunities
- →Translate ambiguous business problems into practical data and analytics solutions
- →Identify and prioritize high-value use cases that drive measurable business outcomes
- →Ensure all analytics initiatives are aligned with business objectives and KPIs
- →Quantify expected and realized business value from analytics investments
- →Serve as a trusted advisor on how data can improve business performance
Analytics Solution Delivery
- →Lead the development and delivery of analytics solutions that improve business decision-making
- →Design and develop dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support tools
- →Rapidly deliver MVP solutions to validate business value
- →Iterate solutions based on stakeholder feedback and evolving business needs
- →Balance speed, practicality, and business impact over technical perfection
Data-Driven Decision Enablement
- →Develop actionable insights that drive decisions and business outcomes
- →Identify trends, risks, opportunities, and performance drivers within enterprise data
- →Build analytical solutions that support planning, forecasting, operational optimization, and strategic decision-making
- →Ensure analytical outputs are understandable, actionable, and aligned to business objectives
Adoption, Change Management & Value Realization
- →Drive adoption of analytics solutions across business functions
- →Ensure analytics become embedded within business processes and workflows
- →Develop stakeholder engagement, training, and enablement plans
- →Monitor utilization, adoption, and business impact of delivered solutions
- →Identify and remove barriers preventing business adoption
- →Champion a culture of data-driven decision-making
Data Storytelling & Executive Communication
- →Translate analytical findings into compelling business narratives
- →Present insights and recommendations to leadership teams and executive stakeholders
- →Communicate business impact in language that drives action
- →Develop executive-ready dashboards, scorecards, and performance reviews
Cross-Functional Leadership
- →Collaborate closely with:
- →Business leaders
- →Data Product Architects
- →Data Engineers
- →Analytics teams
- →IT and enterprise stakeholders
- →Align analytics initiatives with business priorities
- →Help establish a culture of accountability, speed, pragmatism, and measurable outcomes
- →Mentor team members on business-facing analytics and stakeholder engagement
Requirements
~1 min read- 5+ years of experience in analytics, business intelligence, consulting, analytics engineering, or data-driven business roles
- Proven experience translating business problems into analytics solutions that delivered measurable value
- Strong business acumen and ability to connect analytics to operational and financial outcomes
- Advanced SQL skills
- Strong Python and/or PySpark experience
- Experience with Power BI and data visualization
- Experience working with Azure and Databricks analytics environments
- Demonstrated experience delivering MVPs and iterative solutions
- Strong stakeholder management and change management capabilities
- Exceptional communication, facilitation, and presentation skills
- Experience in manufacturing, supply chain, ERP, finance, distribution, or operational environments
- Experience leveraging Azure Data Factory, Databricks, and Azure Data Lake
- Familiarity with Medallion Architecture (Bronze / Silver / Gold)
- Experience leading analytics adoption initiatives
- Experience measuring ROI and business value realization
- Exposure to forecasting, predictive analytics, optimization, and advanced analytics
Location & Eligibility
Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Same as job location
Listing Details
- Posted
- July 2, 2026
- First seen
- July 3, 2026
- Last seen
- August 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- July 3, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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