Data Analyst

r3 Consultant; Mumbai; On-site; INR 600,000 - 800,000; Full time

Job summary

A leading analytics firm in Mumbai is seeking a Data Analyst to interpret large datasets and drive insightful data-driven decisions. Candidates should have at least 2 years of experience, particularly in the insurance industry, alongside strong analytical skills and proficiency in SQL and Python. The role includes creating dashboards, collaborating with product and operations teams, and ensuring data integrity. This position offers the opportunity to work with advanced analytics and visualization tools like Tableau and Power BI.

Qualifications

• 2+ years of experience as a Data Analyst, preferably in the insurance industry.
• Strong experience with data analysis tools and programming languages like SQL, Python, and R.
• Experience with cloud-based data platforms is a plus.

Responsibilities

• Analyze and report on business KPIs through data insights.
• Apply advanced statistical techniques and machine learning for business outcomes.
• Create visualizations of complex data for non-technical stakeholders.

Skills

Statistical analysis

Predictive modeling

SQL proficiency

Python programming

Data visualization

Machine Learning

Tools

Tableau

Power BI

AWS

Google Cloud

Job description

Designation: Data Analyst

Analyze large, complex datasets to extract meaningful insights and provide actionable recommendations.

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 stakeholders.

Collaboration

• 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

• 2+ 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: 2-5 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, Logistic Regression, Support Vector Machines, Decision Tree, Ensemble Techniques (Bagging, Boosting), Clustering (kmeans, hierarchical), Data Modelling, Predictive Modelling.
• Data Science & Analytics: Predictive Analytics, Text Analytics, Data Modelling, Data Mining, ETL, Machine Learning & AI, 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.