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Advanced Data Analyst

Job Description - Advanced Data Analyst

Description

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 SkillProficiency LevelKey ResponsibilitiesTechnical Skills
AI PromptingProficientLeverage AI to accelerate development and ensure high-quality, end-to-end delivery from development to deploymentFamiliarity with AI tools for analytics automation and solution development
Data Analysis & ModelingProficientAnalyze and interpret data, generate insights, and support data-driven decision-makingStrong SQL, data modeling techniques
Data Visualization & ReportingProficientDevelop dashboards and reports to effectively communicate business insightsPower BI
Data Engineering & TransformationProficientPrepare, clean, and transform data for analytics; build scalable datasetsData transformation techniques, understanding of data warehousing
Data Quality & GovernanceProficientEnsure accuracy, consistency, and reliability of data through validation and governance practicesData validation methods; data quality frameworks
Stakeholder ManagementProficientEngage stakeholders, gather requirements, and ensure alignment on deliverables and outcomesCommunication and requirement-gathering tools/methods
Process ImprovementProficientIdentify inefficiencies and implement improvements to enhance analytics deliveryProcess optimization approaches, workflow tools
Change ManagementIntermediateSupport adoption of new solutions through stakeholder coordination and communicationChange tracking and communication practices

 



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