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Data Analytics Manager

TTK Prestige Ltd

5 - 10 years

Bengaluru

Posted: 13/04/2026

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Job Description

  • Position Title Data Analytics Manager
  • Location Bengaluru-Corporate Office
  • Total Experience 4 to 9 Years
  • Age 28 to 40 Years (Max) (Upper side)
  • Qualification MBA -Data Analytics, Bachelor's in data science & Statistics, Computer Science, or Any discipline
  • Reporting to- Head-Strategy
  • Direct Reporting Individual Contributor Role
  • Languages Known- English & Hindi
  • Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail


Key Responsibilities: -

Data Analysis and Reporting:

  • Be the central point for all business and performance analytics
  • Oversee the collection, processing, and interpretation of large datasets
  • Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
  • Develop self-serve BI tools and automated reporting for functional leaders
  • Identify trends, patterns, and insights to drive strategic decision-making
  • Build and maintain executive dashboards to monitor business health and performance metrics.


Data Strategy Development:

  • Develop and implement data analytics strategies to support business objectives.
  • Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
  • Collaborate with other departments to understand their data needs and provide actionable insights.


Team Management:

  • Led and mentored a team of data analysts and MIS experts
  • Ensured projects were completed on time and within budget
  • Foster a collaborative and innovative work environment


Tool and System Management:

  • Implement and maintain data analytics tools and systems
  • Ensure the efficient operation of data collection and analysis processes
  • Troubleshoot and resolve any issues related to data systems
  • Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
  • Provide ROI analysis on transformation and cost-saving initiatives


Stakeholder Communication:

  • Act as the analytics point of contact for strategy-related initiatives
  • Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
  • Present insights and recommendations to senior leadership in a clear and compelling manner


Other Responsibilities:

  • Delivery of data services to support marketing activities
  • Program and develop Extract, Transform and Load programs to support integration
  • Ensure data quality within the database - Data Loading and error handling
  • User Acceptance Test to ensure Quality in deliverables
  • Produce high standard of documentation on data flows and processes
  • Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
  • Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
  • Defined and set up reporting and analysis processes and deliverables that meet client objectives.


Key Performance Indicator:-

  • Data Accuracy: Accuracy and reliability of data collected and analyzed
  • Insight Utilization: Percentage of business decisions influenced by data insights
  • Project Timeliness: Completion of data projects within the agreed timelines
  • Team Performance: Productivity and development of the data analytics team
  • Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
  • Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)


Remarks: -

  • Understanding is Microsoft Fabric - Implementation is must
  • Understanding of AI Workflows for Business Analysis is required
  • Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
  • Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
  • Knowledge of data management best practices and regulatory requirements.
  • Knowledge of data management best practices and regulatory requirements.
  • Good Communication & Influencing Skills.
  • Looking for stable candidates only (Frequent job changes will be not considered).
  • Local Candidates will be preferred

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