Data Analytics Manage

Best Course News; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Opportunity to work with top industry leaders

High visibility role and career development

Stable organization with strong backing

Job summary

A leading insurance provider in Hyderabad is seeking a Data Analytics Manager to drive data-driven decision-making across functions. This role involves advanced data analysis, machine learning model development, and creating impactful visualizations. The ideal candidate should have over 2 years of experience in data analytics, preferably in the insurance sector. Candidates should also possess strong problem-solving skills and excellent communication abilities. The position offers opportunities for growth within a stable organization backed by Tata Group and AIG.

Qualifications

• Minimum 2+ years of hands-on experience in Data Analytics or Machine Learning.
• Prior experience in Insurance domain (Health Insurance, Claims, Underwriting) is preferred.
• Strong problem-solving skills and a self-learning mindset.

Responsibilities

• Perform advanced data analysis and modeling to solve complex problems.
• Develop and implement machine learning models for operations.
• Create visualizations and dashboards for performance metrics.
• Collaborate with stakeholders to understand requirements and present insights.

Skills

Python for data analysis

Machine Learning & Predictive Analytics

Statistical Modeling & Time Series Analysis

SQL for data extraction

Power BI

Tableau

Advanced Excel

Advanced PowerPoint

Education

B.Tech / B.E., B.Com or any Graduate

Job description

#### Data Analytics Manage##### Tata AIG General Insurance Company Ltd* Hyderabad#### DescriptionJob OverviewTata AIG General Insurance Company is looking for a driven and analytical Data Analytics Manager to support data-driven decision-making across insurance functions. The role involves end-to-end ownership of analytics problem statements, development of predictive and statistical models, creation of insightful dashboards, and presentation of actionable insights to senior management. The ideal candidate will combine strong technical expertise with business understanding and excellent presentation skills. Key ResponsibilitiesData Analytics & ModelingPerform advanced data analysis and statistical modeling to solve complex business problems.Develop and implement machine learning models for predictive analytics, pricing, risk assessment, and operational optimization.Conduct time series analysis, trend forecasting, and anomaly detection on large datasets.Machine Learning & Advanced AnalyticsApply machine learning algorithms and techniques to real-world business use cases.Build end-to-end analytical solutions, from data extraction and cleaning to model deployment and insights generation.Continuously improve existing models and analytics processes for accuracy and efficiency.Data Extraction & ProcessingExtract, manipulate, and analyze data using SQL from multiple data sources.Ensure data quality, consistency, and reliability for analytics and reporting.Visualization & ReportingCreate clear and impactful visualizations using tools such as Power BI, Tableau, Matplotlib, Seaborn, and advanced Excel.Design and maintain dashboards to track key business metrics and performance indicators.Prepare advanced PowerPoint presentations for management reviews, business updates, and problem statement walkthroughs.Generative AI & InnovationLeverage Generative AI tools and techniques to enhance analytics workflows, reporting, and business insights.Explore innovative AI-driven solutions to improve efficiency and decision-making.Stakeholder CollaborationWork closely with business stakeholders to understand requirements and translate them into analytical solutions.Present insights, recommendations, and model outcomes to senior management in a clear and structured manner. QualificationsEducation:B.Tech / B.E., B.Com, or any Graduate (Postgraduate preferred but not mandatory)Experience:Minimum 2+ years of hands-on experience in Data Analytics, Data Science, or Machine Learning.Prior experience in Insurance domain (Health Insurance, Claims, Underwriting, Pricing) is a strong advantage. Key Skills & CompetenciesTechnical SkillsPython for data analysis and model developmentMachine Learning & Predictive AnalyticsStatistical Modeling & Time Series AnalysisSQL for data extraction and transformationData Visualization: Power BI, Tableau, Matplotlib, SeabornAdvanced Excel & Advanced PowerPointPreferred Domain SkillsHealth Insurance Claims AnalyticsUnderwriting & Pricing AnalyticsRisk and actuarial data understandingBehavioral SkillsStrong problem-solving and analytical thinkingSelf-learning mindset and ability to work independentlyEnd-to-end ownership of analytics problem statementsExcellent communication and presentation skills Why Join Tata AIGOpportunity to work with one of India’s leading general insurance brandsExposure to real-world insurance analytics and AI-driven decision-makingHigh visibility role with direct interaction with leadershipStrong learning, growth, and career development opportunitiesStable organization backed by Tata Group and AIG#### Role and Responsibilities* Key Responsibilities Data Analytics & Modeling Perform advanced data analysis and statistical modeling to solve complex business problems. Develop and implement machine learning models for predictive analytics, pricing, risk assessment, and operational optimization. Conduct time series analysis, trend forecasting, and anomaly detection on large datasets. Machine Learning & Advanced Analytics Apply machine learning algorithms and techniques to real-world business use cases. Build end-to-end analytical solutions, from data extraction and cleaning to model deployment and insights generation. Continuously improve existing models and analytics processes for accuracy and efficiency. Data Extraction & Processing Extract, manipulate, and analyze data using SQL from multiple data sources. Ensure data quality, consistency, and reliability for analytics and reporting. Visualization & Reporting Create clear and impactful visualizations using tools such as Power BI, Tableau, Matplotlib, Seaborn, and advanced Excel. Design and maintain dashboards to track key business metrics and performance indicators. Prepare advanced PowerPoint presentations for management reviews, business updates, and problem statement walkthroughs. Generative AI & Innovation Leverage Generative AI tools and techniques to enhance analytics workflows, reporting, and business insights. Explore innovative AI-driven solutions to improve efficiency and decision-making. Stakeholder Collaboration Work closely with business stakeholders to understand requirements and translate them into analytical solutions. Present insights, recommendations, and model outcomes to senior management in a clear and structured manner.| Designation | : | Data Analytics Manage || Work experience | : | 0 - 1 |### Skills: