The role involves leading dashboard development and reporting, managing a team, ensuring data quality, and engaging with stakeholders.
Job Purpose and Impact
The Data & Analytics Reporting Supervisor is responsible for leading the design, development, and optimization of enterprise dashboards that deliver actionable insights across the organization. This role oversees the end-to-end dashboard lifecycle-from requirements gathering and data integration to visualization and user adoption. The Supervisor ensures dashboards are aligned with business goals, technically sound, and user-friendly. In addition to hands-on development, this role includes managerial responsibilities such as guiding a team of BI developers and analysts, setting performance goals, and fostering a culture of innovation and data-driven decision-making.
Key Accountabilities
Dashboard and Report Development
Data Governance and Quality
Stakeholder Engagement
Team Leadership and Development
Project and Program Management
Process Optimization
Strategic Contribution
Ownership and Stewardship
Training and Advocacy
Qualifications
The Data & Analytics Reporting Supervisor is responsible for leading the design, development, and optimization of enterprise dashboards that deliver actionable insights across the organization. This role oversees the end-to-end dashboard lifecycle-from requirements gathering and data integration to visualization and user adoption. The Supervisor ensures dashboards are aligned with business goals, technically sound, and user-friendly. In addition to hands-on development, this role includes managerial responsibilities such as guiding a team of BI developers and analysts, setting performance goals, and fostering a culture of innovation and data-driven decision-making.
Key Accountabilities
Dashboard and Report Development
- Lead the design, development, and deployment of interactive dashboards and reports using tools like Power BI, Tableau, or similar platforms.
- Ensure visualizations are intuitive, accurate, and aligned with business needs.
Data Governance and Quality
- Oversee data validation and quality assurance processes to ensure accuracy, consistency, and reliability of reporting outputs.
- Collaborate with data governance teams to maintain compliance with internal standards and external regulations.
Stakeholder Engagement
- Work closely with business units to understand reporting requirements and translate them into technical solutions.
- Communicate insights and reporting outcomes effectively to stakeholders at all levels.
Team Leadership and Development
- Manage and mentor a team of reporting analysts and BI developers.
- Set performance goals, conduct regular reviews, and support professional development.
Project and Program Management
- Oversee reporting initiatives and ensure timely delivery of dashboards and analytics products.
- Establish and maintain reporting cadences and governance frameworks.
Process Optimization
- Identify opportunities to automate reporting processes and improve efficiency.
- Implement best practices for data visualization, storytelling, and user experience.
Strategic Contribution
- Contribute to the organization's data strategy by identifying trends, gaps, and opportunities through reporting insights.
- Support decision-making with data-driven recommendations.
Ownership and Stewardship
- Serve as the primary point of contact for assigned data models.
- Ensure alignment of data models with business requirements and enterprise data standards.
- Maintain comprehensive documentation and metadata for all data models.
Training and Advocacy
- Promote understanding and proper use of data across the organization.
- Provide training and guidance to users and stakeholders as required
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
- 10+ years of experience in product management, product/ data modeling, or related roles.
- Strong understanding of data governance, requirements gathering, compliance, and .
- Excellent communication and stakeholder management skills.
- Experience with data modeling tools and metadata management platforms.
- Experience in design and development of technology products
- Experience in managing teams / people
- Familiarity with Agile methodologies and project management practices.
- Certification in data visualization, governance, reporting or data management (e.g., DAMA, CDMP, Power BI Data Analyst, CompTIA Data+).
Top Skills
Data Modeling Tools
Metadata Management Platforms
Power BI
Tableau
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