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This role partners closely with Product, Operations, and Data Platform teams to enable data-driven decision-making through high-quality analytics assets.
Key Responsibilities Estimate Quality Metrics & KPI Definition
Define, document, and maintain Estimate Quality KPIs, including but not limited to: Estimate accuracy, Change request reduction, Cycle time, Process and compliance metrics
Ensure KPI definitions are consistent, transparent, and aligned across teams.
Act as a subject-matter expert on Estimate Quality metrics and their interpretation.
Design and build analytics-ready datasets optimized for reporting and analysis.
Develop and maintain semantic models that support scalable Power BI consumption.
Apply best practices in analytical data modeling to ensure performance, accuracy, and reusability.
Develop and maintain Power BI dashboards for operational monitoring and executive reporting.
Create clear, intuitive visualizations that surface trends, risks, and improvement opportunities.
Optimize Power BI models using DAX and performance tuning techniques.
Stakeholder Partnership & Enablement
Partner with Product and Operations teams to translate business questions into actionable analytics.
Support leadership reporting with reliable, timely, and well-governed insights.
Ensure reporting assets are well-documented and easy to adopt across the organization.
Required Skills & Qualifications
4–7 years of experience in analytics engineering, BI development, or a similar analytics role.
Advanced SQL skills with strong analytical data modeling experience.
Deep Power BI expertise, including DAX, semantic modeling, and dashboard design.
Proven experience designing KPIs and translating business metrics into analytics solutions.
Experience supporting both operational and executive-level reporting.
Strong communication skills with the ability to partner effectively with non-technical stakeholders.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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