Data Analyst

Position Objectives Analyzing and delivering end-to-end data solutions, including data pipelines, data models, and advanced analytics dashboards. This is to transform data into actionable insights, supporting strategic decision-making and digital quantified initiatives.

Job Description and Responsibilities* Build Analysis Services, reporting models.

• Develop visual reports, dashboards and KPI scorecards using Power BI Desktop.
• Connect to data sources, importing data and transforming data for Business Intelligence.
• Analytical thinking for translating data into informative visuals and reports.
• Implement row-level security on data and understand application security layer models in Power BI.
• Make DAX queries in Power BI Desktop.
• Use advanced-level calculations on the data set.
• Design methodology and project documentation.
• Develop tabular and multidimensional models that are compatible with warehouse standards.
• Adept in development, publishing and scheduling Power BI reports as per the business requirements.
• Understand the business requirements and develop data models accordingly by taking care of the resources.
• Have knowledge and experience in prototyping, designing, and requirement analysis.
• Have knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, etc.
• Integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation.
• Develop custom visuals for Power BI.
• Handled large-scale datasets and big data files

Qualification and Required Skills* Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or Economics.

• Microsoft certifications (e.g., Power BI, Azure, or Data-related) are preferred.
• Minimum 5+ years of experience in Business Intelligence, Data Engineering, or related roles.
• Strong hands-on experience with SSRS, SSIS, and SSAS.
• Proven experience in designing and developing ETL processes (batch and real-time).
• Experience building and optimising data pipelines and data integration workflows.
• Strong experience with Microsoft Azure ecosystem (e.g., Azure SQL, Synapse, Data Factory) and related tools such as PolyBase and Visual Studio.
• Experience working with SQL Data Warehousing concepts and architectures.
• Exposure to public cloud platforms (Azure, AWS, or Google Cloud).
• Strong understanding of data modelling, data warehousing, and performance optimisation techniques.
• Excellent communication skills, with the ability to translate technical insights into business-friendly language.
• Familiarity with statistical concepts and data analysis techniques is a plus.

Experience

Minimum 5+ years of experience in Business Intelligence, Data Engineering, or related roles.