Key Responsibilities :

- Extract, clean, transform and process messy, data from various sources to prepare it for analysis and modeling.

- Translate complex business questions into well-defined data science problem and analytical tasks

- Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, trends, uncover hidden insights, potential data quality issues, and formulate hypotheses

- Should be able to synthesize large datasets into actionable insights using SQL, Python, DAX, PowerQuery, and statistical tools

- Develop and maintain data models, interactive dashboards, and reports using BI tool to support real-time decision-making

- Ensure visualizations effectively communicate key performance indicators (KPIs), trends, and insights, enabling users to explore data and make data-driven decisions independently

- Apply appropriate statistical methods, data mining techniques, and machine learning algorithms (where applicable) to address specific business needs (e.g. prediction, classification, clustering, forecasting)

- Manage and lead multiple data projects independently with best practices, ensuring timely delivery of high-impact analytics and ad hoc reporting

- Use Large language models (LLMs) to get insights and generate summaries from data by analyzing text and identifying patterns in data

- Iterate on data models and approaches based on performance feedback and evolving business requirements

- Stay up to date with the latest advancements in business intelligence, data science, machine learning, AI, and relevant technologies

- Work with data scientists and analytics engineers in the team to integrate AI solutions into existing systems and workflows

- Help to reduce manual effort, improve efficiency, enhance data quality, and ensure the reliable and timely delivery of data for reports and dashboards through automation

- Collaborate cross-functionally with business team and internal team

Required Skills and Experience :

- Min 5+ years of experience in Business Intelligence or Advanced Data Analytics

- Bachelors or Masters degree in Data Science, Statistics, Business Analytics, or a related field.

- Advanced proficiency in SQL, preferably in Google Big Query to query, clean, manipulate, arrange, and present data

- Hands-on experience with BI tools, preferably MS Power BI

- Strong experience in DAX and Power Query

- Experience with Python for Advanced Analytics and Large language models (LLMs)

- Familiarity with cloud computing platforms, preferably Google Cloud