Senior BI Analyst I

Designation: Senior BI Analyst Job Summary: We are seeking a BI Specialist with hands-on expertise in data visualization, data modeling, and business intelligence. The ideal candidate will work closely with stakeholders to build insightful dashboards, analyze complex datasets, and generate actionable business insights. A strong understanding of Power BI is mandatory, along with experience in SQL, Python, and Excel. The role requires a problem-solving mindset and the ability to communicate insights effectively to both technical and non-technical audiences. Key Responsibilities: · Understand the business needs and objectives of our clients from various sectors such as FMCG, E-commerce, etc. · Liaise with stakeholders – both external (clients) and internal (data science and data engineering teams) – to fully understand data content and context. · Build dashboards to drive insights and communicate through visual stories. · Gather, prepare, and create visual models of business data to produce informative and user-friendly dashboards and reports (on BI platforms such as Microsoft Power BI, Tableau, etc.), to enable actionable insights for the stakeholders/clients / decision-makers. · Align with the data engineering team, data science team, and business users for effective tracking of business KPIs in the right business context. · Communicate results and business impacts of insights to stakeholders within and outside of the company. · Imbibe and drive the culture of the analytics organization to create an egalitarian, merit-driven organization, and help the team grow. Required Skills & Experience: · Proven experience in a hands-on BI Specialist role for at least 4+ years. · Ability to think independently and take ownership. · Ability to understand the business needs and objectives of our clients, with good communication skills. · Excellent dashboarding skills (Microsoft Power BI is a must) with a passion for driving insights using data. · Solid experience in data analysis, data filtering, data cleansing, data enrichment, data wrangling, and reporting within a given business context. · Experience of working with Excel, R, Python, and SQL is mandatory. · Knowledge of machine learning & statistical techniques is not mandatory, but nice-to-have. · Most importantly, problem-solving aptitude and eagerness to learn new technologies & tools