Senior Data Analyst - Python/SQL

JOB DESCRIPTION : We are seeking a highly motivated and experienced Senior Data Analyst to join our data analytics team at Robinhood Insurance Broking. In this role, you will play a key part in leveraging data to drive decision-making processes, provide actionable insights, and enhance the companys operations and strategies. You will work closely with cross-functional teams including underwriting, sales, and operations to ensure that data is at the heart of business decisions. The ideal candidate will have a strong background in data analytics, statistical modeling, and data visualization, along with experience in the insurance industry or related sectors. Designation : Data Analyst. Reporting to : Operations Head. Location : Gurugram. Educational Qualification : Bachelors Degree (BSc Mathematics/ BE Preferred). Industry Type : Education. Roles and Responsibilities Data Analysis and Reporting : - Analyze large, complex datasets to extract meaningful insights and provide actionable recommendations. - Develop and maintain regular reports, dashboards, and performance metrics to monitor business KPIs, insurance claims, underwriting performance, and customer insights. - Perform ad-hoc analysis to support business needs and strategic initiatives. - Interpret data, analyze results using statistical techniques and provide ongoing reports. - Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. - Acquire data from primary or secondary data sources and maintain databases/data systems. - Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. - Work with management to prioritize business and information needs. Advanced Analytics : - Apply advanced statistical techniques, predictive modeling, and machine learning algorithms to drive business outcomes, such as pricing strategies, risk assessment, and customer segmentation. - Collaborate with data scientists to refine and optimize models for better accuracy and performance. Data Visualization : - Create compelling visualizations that communicate complex data insights to non-technical stakeholders. - Use tools like Tableau, Power BI, or similar to design user-friendly, interactive dashboards for internal and external : - Partner with product, underwriting, and operations teams to identify business problems that can be solved through data-driven solutions. - Advise leadership on data strategies and help prioritize data-related initiatives based on business objectives. - Communicate findings and insights to senior management and other teams effectively. Data Governance & Quality : - Ensure that all data used in analysis is accurate, consistent, and aligned with business requirements. - Work with data engineers to establish best practices for data collection, storage, and processing to ensure data integrity and quality. Process Improvement : - Continuously identify areas for process improvement and automation in data collection, reporting, and analysis. - Suggest ways to optimize internal workflows and improve data accessibility. Relevant Experience - 5 years of experience as a Data Analyst, with at least 2 years in a senior or leadership capacity. - Experience in the insurance industry or a related sector is highly preferred. - Strong experience with data analysis tools and programming languages (e.g., SQL, Python, R). - Proficiency in data visualization tools like Tableau, Power BI, or similar. No of years of experience : 8-10 Years. Skills & Competencies : - Expertise in statistical analysis and predictive modeling. - Strong proficiency in SQL for querying large datasets. - Big Query. - Programming Language : Python. - Python Libraries : NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn. - Knowledge of data wrangling, data cleaning, and preparing datasets for analysis. - Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) is a plus. - Strong communication skills, with the ability to translate complex data into actionable insights for non- technical stakeholders. - Ability to work independently and as part of a cross-functional team in a fast-paced environment. - Data Visualization : Visualize, analyze and share actionable insights about the data with Microsoft PowerBI, SAS Viya, Knime and IBM Cognos Analytics. - Machine Learning : Linear ,and Logistic Regression, Support Vector Machines, DecisionTree, Ensemble Techniques : Bagging, Boosting, Clustering : kmeans and hierarchical DataModelling, Predictive Modelling. - Data Science & Analytics : Predictive Analytics, Text Analytics, Data Modelling, Data Mining, ETL. - Machine Learning & AI : Machine Learning, Upskilling to Large Language Models and GEN AI. - Tools & Frameworks : Git. - Operating System : (Linux, Windows). - Microsoft Office : Word, Excel (Advanced), PowerPoint. - Project Management & Collaboration : JIRA. Compensation : 40L-55L. Behavioral competencies : - Strong problem-solving skills and ability to think critically. - Proactive and self-motivated with an eagerness to take on new challenges. - A passion for using data to drive business improvements and achieve strategic goals. - Detail-oriented with a focus on accuracy and quality in all work. - Comfortable working in a dynamic and evolving environment. (ref:hirist.tech)

Location: in, IN

Posted Date: 6/3/2025