Duties and responsibilities :

- Lead Business Analytics Development : Design and deliver end-to-end data solutions, including data models, reports, and dashboards tailored to the needs of business partners across functions.

- Strategic Collaboration : Serve as a trusted analytics partner to business leadership and COEs, understanding their business needs and translating them into data strategies and products.

- Data Stewardship & Governance : Ensure data quality, consistency, and security in line with privacy laws (e.g., GDPR, CCPA) and internal governance policies.

- Automation & Efficiency : Create scalable pipelines and automation that streamline the delivery of recurring business metrics and eliminate manual reporting.

- Insights & Storytelling : Translate complex data into clear, actionable insights using visual storytelling techniques that inform strategy and engage stakeholders at all levels.

- Advanced Analytics : Support workforce planning, compensation analysis, and predictive modeling initiatives by collaborating with Data Science, Data Engineering, and Talent Analytics teams.

- Tool Ownership : Lead the deployment and optimization of BI tools like Power BI or Tableau for HR data visualization, and partner with IT to manage backend infrastructure (Azure, Databricks).

- People-Centered Design : Ensure insights are accessible, equitable, and designed to empower leaders with intuitive, story-driven visuals.

- Agile Delivery : Manage analytics projects using agile methodologies, facilitate sprint planning, and ensure timely delivery of high-impact solutions.

TOOLS :

- Years of Experience : 6+ years of BI, data engineering, or analytics roles, including hands-on development and architecture of enterprise-level BI platforms.

- Advanced Power BI Expertise : Deep knowledge of Power BI, including report creation, data visualization, DAX calculations, and publishing dashboards to deliver actionable insights.

- Data Modeling and SQL Proficiency : Expertise in designing scalable data models and advanced SQL skills for querying, transforming, and analyzing data.

- Azure Ecosystem Knowledge : Hands-on experience with Azure services for managing cloud-based data platforms and familiarity with Databricks for collaborative data workflows.

- DevOps and Collaboration Tools : Experience with DevOps practices (e.g., Azure DevOps) and team collaboration tools like Microsoft Teams to streamline workflows and communication.

- Innovation in BI Processes : A track record of driving innovation through automation, optimization, or leveraging emerging technologies such as AI/ML (nice to have).

- Communication and Stakeholder Management : Strong ability to engage and influence stakeholders at all levels of the organization. Proven experience collaborating cross-functionally, and aligning analytics work with evolving business priorities.

- Problem-Solving and Strategic Thinking : Strong critical thinking skills to troubleshoot issues, optimize systems, and deliver solutions that meet business needs efficiently.

- Adaptability to New Tools : Familiarity with other BI tools (e.g., Tableau or Looker) and a willingness to explore new technologies as needed to enhance BI capabilities.