An Excellent Opportunity for ...
The Data Power User is a key member of the Analytics Center of Excellence (ACoE), responsible for business-side data champions with advanced self-service data skills, they translate data into decisions and act as the bridge between business operations and the technical analytics team (BI Analysts & Analytics Engineers).Power users’ group is often the first to adopt new functionality, sometimes even before the IT department is prepared to support it. Power users play a critical role of bridging the gap between business user requirement and information retrieval from sources.
1. Business Insight & Decision Support
- Perform ad-hoc analysis on available datasets to answer specific business questions.
- Translate analytical insights into clear business actions and recommendations.
- Identify new business opportunities or risk indicators through data trends.
- Translate reporting requirements from business stakeholders into precise data queries that provide timely insights.
- Assist in creating reusable SQL scripts and views that simplify recurring data extraction tasks and reduce manual effort.
- Respond to spontaneous data requests from BU/Function by querying databases to provide quick, accurate answers.
2. Liaison Between Business & Analytics Teams
- Conduct Advanced Ad-Hoc Analysis: Use SQL to query the trusted data warehouse and Excel for quick, complex pivots and models to answer immediate business questions without always needing the ACoE's direct involvement.
- Provide feedback on usability, performance, and improvements of BI reports
3. Data Quality & Validation
- Participate in data validation and UAT (User Acceptance Testing) for new reports or systems.
- Flag data inconsistencies, errors, or mismatched figures to the BI/Engineering team for correction.
- Help maintain data accuracy and integrity by ensuring correct business definitions and interpretations are applied.
- Conduct regular data quality checks to ensure accuracy and completeness of reporting data.
- Identify and escalate data anomalies or discrepancies.
- Work with data stewards to resolve data integrity issues.
- Investigate and resolve data issues reported by end-users, validating their claims and updating reports or logic when necessary.
4. SOP & Process Compliance
- Follow ACoE SOPs for report usage, request submission, and change management.
- Ensure all business reporting aligns with standard definitions and governance rules.
- Contribute to improving SOPs by sharing operational insights and workflow challenges
5. Business Readiness for New System Data Acquisition
- C ollaborate within the team during the onboarding of new systems
- Help define key data points and KPIs to be captured from new systems.
- Participate in UAT and process validation to ensure business readiness and adoption
6. Change Management & Advocacy
● Champion ACoE Standards: Promote and enforce the use of certified data assets and best practices within the organization. They help combat " shadow IT " and spread sheets prawl by advocating for the single source of truth.
● Provide Feedback Loop: Gather feedback from business unit on the usability, performance, and gaps of the centralized analytics tools and data products, channeling it constructively to the ACoE.
● Promote Data Literacy: Help upskill their colleagues and foster a data-driven culture in their part of the organization.
7. Others Responsibilites
- Mentorship & Coaching: Provide direct coaching and mentorship to Power Users, helping them advance their technical skills (SQL, Power BI, Excel) and analytical thinking.
- Define Career Pathing: Develop and clarify the career growth path for individual contributors who wish to become Power Users or advance within that track.
- Foster Collaboration: Create and maintain a vibrant "Community of Practice" for Power Users. Facilitate regular meetings, knowledge-sharing sessions, and forums to share best practices, success stories, and common challenges.
- Establish Standards: In collaboration within the ACoE, define and evangelize best practices for self-service analytics, including naming conventions, data modeling in Power BI, and documentation.
- Governance Advocate: Ensure Power Users adhere to data governance policies and use certified data sources. You are the first line of defense against "shadow IT" and data silos, guiding users toward the "single source of truth."
- Prioritization Bridge: Work with business unit leaders and the ACoE to identify and prioritize the most impactful self-service analytics projects and data enablement needs.
- Escalation Path: Serve as the primary escalation point for Power Users when they encounter complex data quality issues, technical limitations, or requirements that exceed the ACoE’s scope
- Measure Value: Define and track metrics to quantify the impact of the Power User team(e.g., reduction in ad-hoc requests to the ACoE, increase in data-driven decisions in business units, user satisfaction scores).