Key Responsibilities End-to-End BI Development : Design and implement BI solutions across the full lifecycle: data ingestion flows (via Synapse pipelines and stored procedures), semantic models, OLAP cubes, and Power BI dashboards and templates. Architecture & Standards : Define and enforce BI architectural patterns, governance practices, and reusable frameworks to ensure scalable, maintainable, and high-performing BI solutions. Client Engagement : Collaborate directly with clients and account managers to understand business needs, translate requirements into BI deliverables, and deliver insights through dashboards and reporting. Innovation & Best Practices : Stay at the forefront of modern BI approaches (e.g., lakehouse, Spark, Delta Lake, Azure Fabric) and bring new ideas to evolve the company BI practice. Cross-Team Collaboration : Work with the Data Engineering team on pipeline requirements and design, ensuring BI models are optimized for analytics. Internal BI Support: Support the company leadership and internal teams with BI dashboards, reporting frameworks, and ad-hoc analysis that drive operational efficiency and decision-making. Performance Optimization : Tune queries, models, and reports to handle large- scale datasets efficiently within Synapse and Power BI. Mentorship : Provide guidance and knowledge-sharing to junior team members and contribute to upskilling the broader Data Science and BI function. Required Qualifications Education /Degrees: Bachelors degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred. Experience: 7 years of experience in BI development, including end-to-end ownership of BI lifecycles, with a proven track record of leading BI innovation and best practices. Required Skills Strong proficiency in Power BI (including DAX, data modelling, report development, templates, and deployment). Experience and proficiency in multiple other BI tools (e.g., Tableau, Qlik, Looker, etc.), demonstrating versatility across BI ecosystems. Advanced SQL skills with proven experience in Azure Synapse Analytics (dedicated/serverless SQL pools, stored procedures, performance tuning). Experience with OLAP cubes, semantic models, and data warehousing concepts. Familiarity with ETL/ELT processes (preferably using Synapse Pipelines) and working closely with Data Engineering. Understanding of data lakehouse concepts and modern BI integrations with Spark/Delta Lake. Proven ability to design BI architectural patterns and enforce governance best practices. Experience working with large datasets, retail data, or marketing analytics is highly advantageous. Familiarity with software development best practices in BI/analytics environments, including modular development, version control (Git), automated testing, and CI/CD pipelines. Advantageous Skills & Certifications Microsoft Certified: Power BI Data Analyst Associate (DA-100 / PL-300) Microsoft Certified: Azure Data Engineer Associate (DP-203) Exposure to Azure Fabric, Databricks, or similar lakehouse technologies. Ideal Candidate Profile Strong problem-solving ability with a focus on technical delivery excellence. Ability to translate business requirements into BI solutions with clear, actionable insights. Confident engaging with clients and stakeholders at a senior level while keeping technical focus. Effective communication skills to bridge technical and non-technical audiences. A collaborative mindset, able to work cross-functionally with Data Engineering, Data Science, and Account Management teams. High attention to detail, with a commitment to producing accurate, scalable, and reliable BI solutions. Ability to work independently, prioritize effectively, and manage multiple projects simultaneously. Why youll love working for the company The company believes in taking care of their team and creating an environment where you can thrive. As part of the company, youll enjoy: Flexible Working Arrangements : Whether youre a night owl or an early bird, they offer hybrid and remote options to suit your lifestyle Comprehensive Benefits : From a wellness program to home office reimbursements and continuous learning opportunities, the company have got you covered. Team Culture : Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance. Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.