Data Scientist / Business Intelligence Analyst

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 :

(ref : hirist.tech)