Dashboard & Analytics Lead

Job Responsibilities:

Dashboard Development & Ownership

• Design, build, and maintain interactive Power BI dashboards
  
• Ensure dashboards are accurate, scalable, and aligned with business needs
  
• Optimize data models and performance for large datasets
  
• Maintain a single source of truth across reporting layers
  
  

Business Partnering

• Collaborate with stakeholders across departments to understand reporting needs
  
• Translate business questions into analytical solutions
  
• Drive adoption and usage of dashboards through training and enablement
  
• Act as a bridge between business users and technical teams
  

Data Analysis & Insights

• Perform deep-dive analysis to uncover trends, risks, and opportunities
  
• Support forecasting and planning through data insights
  
• Work with large, complex datasets to generate actionable recommendations
  

Governance & Best Practices

• Establish data governance, definitions, and reporting standards
  
• Ensure data quality, consistency, and reliability
  
• Document data models, logic, and dashboard usage
  

Leadership & Continuous Improvement

• Lead the Dashboard & Analytics team
  
• Identify opportunities to improve reporting efficiency and automation
  
• Stay updated with new tools, features, and best practices in analytics
  

Requirements

Preferred Qualifications & Experience:

• Minimum 6 years of experience in data analytics, business intelligence, or a related field, preferably in a managerial or lead capacity
  
• Bachelor’s degree in Statistics, Computer Science, Data Analytics, or a related discipline
  
• Certification in Microsoft Power BI Data Analyst (PL-300) is highly advantageous
  
• Working knowledge of Python for data analysis, automation, or advanced analytics is a plus
  
• Strong ability in data storytelling, with the capability to translate complex data into clear, compelling narratives for business stakeholders
  

Requirements:
Technical Skills

• Strong experience with Power BI (data modeling, DAX, visualization best practices)
  
• Proficient in Excel (advanced formulas, data manipulation)
  
• Experience with SQL or other data querying tools
  
• Familiarity with data warehousing concepts and ETL processes
  

Analytical & Business Skills

• Strong analytical thinking and problem-solving skills
  
• Ability to translate data into clear business insights
  
• Experience supporting business functions
  

Soft Skills

• Strong communication and stakeholder management skills
  
• Ability to manage multiple priorities in a fast-paced