Senior Data Analyst

Location: Chennai, India

Remote Type: Hybrid

Time Type: Full time

Job 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:

Logitech is seeking a skilled and driven Quality and CX End-to-End  AI/ML Data Analyst to 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.

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 you’ll 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 using AI/ML technologies 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.

  • Leverage LLM/NLP technologies to analyze customer sentiments and identify opportunities for improvement.

• 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:

• 10+ years of proven experience from a similar role, including at least 5 years in data analytics or data science.

• Proficiency in programming tools such as Python, R.

• In-depth knowledge of AI/ML technologies, GenAI, Agentic AI, MCP. Exposure to Claude, Gemini

• Experience with data visualization tools,  preferable Tableau.

• Basic SQL querying knowledge for data analysis.

• Strong experience with project management and change management principles, methodologies and tools.

• 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)

Education:

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

#LI-MK1

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!

We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.