Lead Data Analytics Specialist ( Power BI)

Key Responsibilities:

• Serve as the primary contact for global client teams, building trusted advisor relationships with key stakeholders.
• Lead analytical projects by defining analysis approaches and key performance indicators (KPIs).
• Collaborate with senior team members to identify risks and growth opportunities for clients.
• Manage and develop junior team members, fostering a supportive and collaborative environment.
• Gather and extract data from various databases, Excel, and relevant sources for BI reporting.
• Engage with clients to understand their reporting needs and align KPIs with business objectives.
• Coordinate with clients to collect, clean, and validate datasets, ensuring data integrity.
• Develop data models to identify relationships and trends, enhancing business performance insights.
• Create automations in sharepoint using power automate, power apps etc.
• Design and create interactive dashboards to effectively communicate data insights to stakeholders.
• Maintain and optimize existing BI reports and dashboards for accuracy and relevance.
• Stay updated on market trends and best practices to continuously enhance service offerings and ensure compliance with quality standards.

Education:

• Bachelors degree in Science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred

Experience:

• Over 5+ years of experience in data analytics, including 3+ years with business intelligence tools like Power BI.
• 2 years of management consulting or investment banking experience
• Experience using power automate, power apps and Sharepoint is preferred
• Strong analytical and problem-solving skills, delivering actionable insights through data modeling and visualization.
• Excellent client-facing abilities, building relationships with senior stakeholders and influencing leadership.
• Proven experience in data automation, creating dashboards in Power BI, and analytical modeling.
• Strong written and verbal communication skills, effectively engaging with stakeholders at all levels.
• Fast learner with the ability to quickly adopt new tools and platforms, including familiarity with Gen AI
• Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to talent development.