Join our AI Insights & Engagement team as a Senior Consultant, Data Analyst, in Mumbai. We are seeking a highly analytical and curious professional to uncover hidden stories within complex datasets. This role goes beyond standard reporting, focusing on extracting meaningful business insights and trends. If you possess a strong ability to identify patterns, anomalies, and relationships in data, and have a knack for translating complex information into actionable strategies, we encourage you to apply. Your expertise will be crucial in driving data-driven decision-making and enhancing our AI capabilities.

Dive deep into large, intricate datasets to identify patterns, trends, and anomalies, asking critical "why" questions to understand underlying business drivers. Collaborate with stakeholders to translate ambiguous business challenges into well-defined analytical questions and hypotheses. Develop advanced, efficient SQL queries within Databricks for data exploration and analysis, utilizing joins, aggregations, and window functions. Leverage Python extensively for exploratory analysis, statistical modeling, and visualization, working with libraries like Pandas and NumPy. Utilize LLM-based tools to accelerate data discovery, analysis, and productivity, while critically validating outputs. Design clear, impactful data visualizations and build compelling analytical narratives for both technical and non-technical audiences. Contribute to the design of intuitive and user-centric analytical dashboards, focusing on usability and decision-making.

A Bachelor's degree in Engineering is required. Essential skills include strong proficiency in SQL for data manipulation and analysis, and robust Python skills for data science tasks. Hands-on experience with Databricks or similar data platforms is mandatory. Exceptional analytical and problem-solving abilities are crucial, along with the capacity to manage and interpret large, imperfect datasets. You should be adept at translating vague business problems into concrete analytical questions. A strong understanding of data visualization principles, basic statistics, and metric evaluation is expected. Excellent communication skills, particularly in distilling complex findings into simple conclusions, are vital. We value curiosity, a proactive approach to investigation, and a willingness to challenge assumptions. Experience with LLM-based analytical tools like Databricks Genie and building analytical dashboards are highly advantageous. A solid grasp of UI/UX principles for data products and familiarity with visualization tools such as Power BI or Tableau are a plus. Understanding of data modeling and data engineering concepts is beneficial.