Introduction The Senior BI/ Data Analyst plays a critical role in transforming data into actionable insights that drive strategic and operational decision-making across the organisation.
This role combines advanced analytics, business intelligence, and data storytelling to bridge the gap between data and business. The incumbent is responsible for delivering high-impact insights, building scalable reporting solutions, and enabling a data-driven culture across the organisation.
Duties & Responsibilities
Analyse complex datasets to uncover trends, risks, and opportunities Translate business problems into analytical solutions using SQL, statistics, and modelling techniques Conduct deep-dive analysis, forecasting, and scenario modelling Deliver proactive, high-impact insights that influence strategic decisions Design, develop, and maintain scalable dashboards and reporting solutions Establish and enforce best practices for data visualisation and reporting Drive automation of reporting processes Ensure consistency, accuracy, and performance of reporting outputs Apply statistical methods and advanced analytics techniques to solve business problems Prepare datasets for data science and AI/ML initiatives Identify opportunities to embed predictive and prescriptive analytics Ensure data quality, integrity, and governance across systems
Desired Experience & Qualification
Bachelor's degree in Statistics, Computer Science, Information Systems, Data Analytics or related field 5+ years of experience in data analytics, reporting, business intelligence, or related roles Advanced SQL and strong experience with BI tools (Power BI, Tableau, Qlik, SAP Analytics Cloud etc.) Proven experience working with large, complex datasets and delivering actionable insights Strong experience in dashboard development and reporting frameworks Solid understanding of data modelling, ETL processes, and data warehousing Strong stakeholder engagement and communication skills Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP).
Advantageous
Postgraduate qualification in Data Science, Business Analytics, or related field Experience with cloud platforms (Azure, AWS, GCP) Programming experience in Python or R Exposure to SAP environments (e.g., SAP BW/4HANA) Understanding of AI/ML concepts and their business application Industry experience (e.g., retail, healthcare, financial services) Advanced SQL and strong experience with BI tools Data modelling, ETL, and data warehousing knowledge Familiarity with cloud data platforms and modern data architectures
Sourced from external listing
Tych Business Solutions
Sourced from PNet