Advanced Data Analyst

Job Title: Advanced Data Analyst 

Role Purpose: 

The Advanced Data Analyst is responsible for delivering high-quality analytics solutions that enable data-driven decision-making across the organization. This role combines technical expertise, business understanding, and stakeholder collaboration to design, develop, and support dashboards, reports, and data models. The role acts as a trusted analytics partner, ensuring solutions are aligned with business objectives, governed by strong data quality standards, and remain stable and scalable post deployment.

Responsibilities

• Experience:

  • Strong experience in data analytics, reporting, or BI development
  • Experience working in a GBS/shared services environment is preferred
  • Proven track record of delivering end-to-end analytics solutions

   

  Education:

  • Bachelor’s or Master’s Degree in Data Analytics, Computer Science, Engineering, or a related discipline

   

  Key Responsibilities and Skills:

  Core Skill	Proficiency Level	Key Responsibilities	Technical Skills
  AI Prompting	Proficient	Leverage AI to accelerate development and ensure high-quality, end-to-end delivery from development to deployment	Familiarity with AI tools for analytics automation and solution development
  Data Analysis & Modeling	Proficient	Analyze and interpret data, generate insights, and support data-driven decision-making	Strong SQL, data modeling techniques
  Data Visualization & Reporting	Proficient	Develop dashboards and reports to effectively communicate business insights	Power BI
  Data Engineering & Transformation	Proficient	Prepare, clean, and transform data for analytics; build scalable datasets	Data transformation techniques, understanding of data warehousing
  Data Quality & Governance	Proficient	Ensure accuracy, consistency, and reliability of data through validation and governance practices	Data validation methods; data quality frameworks
  Stakeholder Management	Proficient	Engage stakeholders, gather requirements, and ensure alignment on deliverables and outcomes	Communication and requirement-gathering tools/methods
  Process Improvement	Proficient	Identify inefficiencies and implement improvements to enhance analytics delivery	Process optimization approaches, workflow tools
  Change Management	Intermediate	Support adoption of new solutions through stakeholder coordination and communication	Change tracking and communication practices