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Logitech - Data Analyst - SQL/Tableau

Logitech
Chennai
5 - 8 Years
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4.2white-divider46+ Reviews

Posted on: 12/11/2025

Job Description

Description :


Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

The Team :


The Operations Quality and Consumer & Customer Experience (CX) team is dedicated to enhancing customer satisfaction across the entire product lifecycle, ensuring outstanding product quality and a superior consumer experience.

By channeling the Voice of Consumer to internal stakeholders, the team drives continuous improvement and data-informed decision-making.

Focused on fostering customer loyalty and delivering consistent excellence, the team supports Logitech's strategy of becoming an "Iconic" brand through exceptional products and consumer experiences.

The Role :


The Data Analyst will work collaboratively with stakeholders, transforming both quantitative and qualitative consumer voice data into actionable insights through data mining, and driving continuous improvement initiatives as a result.

The role also involves identifying opportunities to enhance product quality, elevate consumer experience, and optimize Quality and CX operations using advanced data analysis techniques.

The Data Analyst will be responsible for analyzing Quality and CX data to monitor the health of product quality, consumer experience, and operational efficiency, while presenting findings to stakeholders and producing insightful reports and reviews.

Your Contribution :


Be Yourself.

Be Open.

Stay Hungry and Humble.

Collaborate.

Challenge.

Decide and just Do.

Share our passion for Equality and the Environment.

These are the behaviors and values youll need for success at Logitech.

In this role you will :

- Data Architecture Expertise : Serve as a subject matter expert in data structure, ensuring alignment with evolving business needs.

- Analytics Projects : Gather business requirements from diverse stakeholders (Engineering, Manufacturing, Consumer Experience, Quality, Finance, etc.), convert business questions into analytics initiatives, and independently perform analyses to deliver valuable insights.

- Insights & Communication : Extract actionable insights to support strategic decisions, presenting findings to stakeholders in a clear and impactful manner.

- Extract user, transaction, and other system data to create comprehensive reports and drive informed decision-making.

- Fostering a Data Culture : Promote a data-driven mindset across teams to enhance decision-making and operational cohesion.

- Process Optimization : Collaborated with business stakeholders to standardize & maintain key metrics, strengthen architectural decisions, and establish scalable processes.

- Cross-functional Collaboration : Build and maintain strong, cooperative relationships with stakeholders to drive impactful initiatives and ensure alignment across teams.

Key Qualifications :


For consideration, you must bring the following minimum skills and experiences to our team :

- 5+ years of proven experience from a similar role, including at least 3 years in data analytics with data visualization.

- Strong Experience with data visualization tools, preferable Tableau.

- Advanced SQL querying knowledge for data analysis.

- Snowflake experience is preferable.

- Experience with project management.

- Hands on approach, leading by doing and never afraid of getting muddy hands.

- Excellent communication skills in English.

- Proven ability to build strong, collaborative relationships across different levels and functions.

- A strong sense of ownership and proven experience driving cross-functional initiatives.

In addition, below skills are a plus :

- Certified project management professional (PMP or similar).

- Experience with programming tools such as Python, R.

- Basic knowledge of AI/ML technologies, GenAI, Agentic AI, MCP.

- Exposure to Claude, Gemini.

Education :


Bachelor or Masters in Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems or similar.


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