Job Purpose

Drive the standardization, automation, and reusability of reporting and analytical solutions across the enterprise. Deliver consistent, actionable insights that support revenue growth, expense optimization, operational efficiency, and data‑driven decision making. Use existing BI and analytics tools to efficiently present information to internal and external stakeholders.

Primary Responsibilities

1. BI Development & Solution Implementation (40%)

• Design, implement, and optimize dashboards, reports, and analytical solutions using best practices in visualization, automation, and storytelling.
• Standardize and automate reporting to reduce maintenance and improve scalability.
• Analyze and enhance existing BI solutions based on latest tools, techniques, and policies.
• Conduct functional testing and apply quality assurance standards.
• Ensure clear communication, timely delivery, proper stakeholder training, and smooth handover of solutions.
• Proactively identify opportunities for process improvement and advanced analytics adoption.

2. Requirements Gathering & Business Partnership (30%)

• Collaborate closely with business users to understand reporting needs and translate them into effective BI solutions.
• Maintain strong knowledge of business processes, products, distribution channels, and data flows.
• Support stakeholders by advising on data requirements and solution design for highly complex requests.
• Contribute to project documentation, business cases, and solution visioning.
• Provide user training and support adoption of BI tools.

3. BI Environment Reliability & Governance (15%)

• Ensure all supported BI environments, dashboards, reports, and data models are stable, accurate, secure, and highly available.
• Maintain documentation, follow governance standards, and ensure proper controls and disaster recovery processes.
• Monitor and meet service-level agreements; manage escalations and incident resolution.
• Perform proactive audits, communicate issues, and provide recommendations to prevent recurrence.
• Mentor team members and oversee resolution of complex technical issues.
• Coordinate enhancements with IT and Data teams to ensure alignment with architecture standards.

4. Change Management & Quality Assurance (10%)

• Ensure adherence to development methodologies, standards, and quality benchmarks.
• Develop solutions that meet business and technical requirements.
• Define quality metrics and oversee QA activities, test plans, and defect resolution.
• Evaluate internally developed solutions for consistency with best practices and long-term maintainability.

5. Project Leadership & Cross‑functional Coordination (5%)

• Lead departmental or enterprise-level BI projects, ensuring delivery within scope, timeline, and budget.
• Support project planning, resource allocation, forecasting, and financial tracking.
• Facilitate collaboration across Data Analytics, Data Services, IT, and business teams.
• Serve as BI and data modeling lead for complex or sensitive initiatives.

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Engineering, Business Analytics, or related field (or equivalent experience).
• 3–5+ years experience in BI development, data analytics, or data modeling.
• Solid understanding of data structures, relational databases, and ETL concepts.
• Experience collecting business requirements and translating them into technical solutions.
• Strong analytical and problem‑solving skills.
• Excellent communication skills for both technical and non‑technical audiences.
• Experience supporting production BI environments and managing incidents.

Preferred Skills & Tools

BI & Visualization Tools

• Power BI (preferred)
• Tableau / Qlik (nice-to-have)

Data & ETL

• SQL (advanced)
• SSIS / Informatica / Azure Data Factory or similar
• Data modeling (star schema, dimensional design)

Programming (bonus)

• Python or R for analytics, automation, or data transformation

Project & Quality Frameworks

• Agile or Scrum methodology
• Experience in QA processes and change management
• Familiarity with data governance frameworks

Soft Skills

• Stakeholder management
• Ability to simplify complex analytics into clear insights
• Adaptability, collaboration, and continuous-improvement mindset