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.
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 SkillsAI 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 developmentData Analysis & ModelingProficientAnalyze and interpret data, generate insights, and support data-driven decision-makingStrong SQL, data modeling techniquesData Visualization & ReportingProficientDevelop dashboards and reports to effectively communicate business insightsPower BIData Engineering & TransformationProficientPrepare, clean, and transform data for analytics; build scalable datasetsData transformation techniques, understanding of data warehousingData Quality & GovernanceProficientEnsure accuracy, consistency, and reliability of data through validation and governance practicesData validation methods; data quality frameworksStakeholder ManagementProficientEngage stakeholders, gather requirements, and ensure alignment on deliverables and outcomesCommunication and requirement-gathering tools/methodsProcess ImprovementProficientIdentify inefficiencies and implement improvements to enhance analytics deliveryProcess optimization approaches, workflow toolsChange ManagementIntermediateSupport adoption of new solutions through stakeholder coordination and communicationChange tracking and communication practices