Franklin Templeton Recruitment Drive; Hiring Data Analyst – Apply Now

Data Analyst Job Openings in Chennai 2025!!!

Franklin Templeton announced job vacancy for the post of Data Analyst. The place of posting will be at Chennai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Franklin Templeton
Required Qualifications	Graduate / Post Graduate
Skills	Excellent analytical, problem-solving, and decision-making skills
Category	Data Analysis
Work Type	Onsite

When you become part of Franklin Templeton, you’ll join a company dedicated to progress. A company that doesn’t settle. One where they pursue their ambitions with energy and persistence, supported by structured insights shaped through enterprise data analytics services that enhance decision quality. That’s why it’s so important that they empower and encourage the progress of their employees. From their welcoming, inclusive, and flexible culture – to their global and diverse business, they provide opportunities to help you reach your potential while contributing to theirs.

Job Details

Θ Positions: Data Analyst

Θ Job Location: Chennai

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 865608

Roles and Responsibilities:

• Net Promoter Score (NPS) Monitoring & Reporting – 40%:
• Monitor Net Promoter Score (NPS) statistics on a daily basis, tracking trends and identifying significant changes in customer sentiment that increasingly rely on contextual patterns identified through predictive analytics for customer insights.
• Publish and maintain NPS dashboards with up-to-date metrics, ensuring visibility for relevant stakeholders and leadership.
• Generate periodic NPS reports (daily, weekly, monthly) with actionable insights and historical comparisons.
• Collect, validate, and consolidate NPS data from multiple sources, including call centers, branches, and distributor networks.
• Perform data sanity checks to ensure accuracy, consistency, and completeness before storing in the Enterprise Data Warehouse.
• Coordinate with IT/data teams to ensure proper integration and storage of NPS data in the Enterprise Warehouse.
• Facilitate cross-functional meetings to discuss NPS trends, share insights, and drive customer-focused initiatives.
• Analyze customer feedback and survey responses to identify key drivers of satisfaction and dissatisfaction, aligning results with evolving advanced data modelling techniques that strengthen interpretation.
• Conduct root cause analysis for negative feedback or declining NPS trends, working with relevant teams to address issues.
• Identify and communicate customer pain points to relevant departments, suggesting improvements to processes or customer experience.
• Ensure timely dissemination of NPS insights and feedback to all stakeholders, supporting data-driven decision-making.
• Stay updated on best practices in NPS management and customer experience, implementing new strategies as appropriate.
• Data Analysis – 30%:
• Build a strong capability around predictive analysis for our investor behavior that benefits from deeper context shaped by consumer behavior data analytics.
• Predict trends basis internal and external factors to be able to better strong hold our ops shops for expected inflows in specific areas.
• Using available data fields (or in relation to) to arrive at a more in depth view of our consumers.
• Provider regular updates in and around.
• FT India digital conversion rates – a visit to sale to transactions. Visits to purchase/Time to purchase – an indication of a number of visits involved with the purchase.
• Number of products purchased per customer - Trends/ Observations.
• Transaction behaviour – Recency, Frequency, Monetary value analysis for different categories and customer types. Reach Frequency analysis also relevant for site visits, email response, and different service types.
• Activity or participation levels – Percentage of the customer base over registrations who are actively using online services. Determine who is Activated, Active and Dormant.
• Loyalty or churn metrics – Percentage of customer’s repeat purchasing during a period of time.
• Other emerging trends basis consumer / investor behaviour or change due to internal changes or external (stock market trend, regulations etc.).
• Reporting Support -30%
• Support various teams within GSS for different reports, demographics data etc.
• Monthly digital MIS and summary view.
• Details of active investor details on a regular basis.
• Aggregated list of Financial & Non-Financial Transactions at branch level.
• Lot level reports as applicable.
• Service interactions data & monitoring effectiveness of the data analysis provided.
• Unclaimed information details / analysis as required from time-to-time etc.

Required Skills & Qualifications:

• Bachelor’s degree in accounting, Finance, or Business Administration (MBA is a plus).
• Strong knowledge of SQL, Data bricks.
• Proficiency in MS Office and MS Project.
• Excellent analytical, problem-solving, and decision-making skills.
• Committed to fostering a culture of compliance and continuous improvement.

How to Apply

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Disclaimer:

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