Logitech Data Analyst Jobs 2026 | Hybrid | Chennai

Logitech is hiring a Data Analyst for its Operations Quality & Consumer Experience (CX) team in Chennai, Tamil Nadu. This is a full-time, hybrid role designed for experienced analytics professionals who can transform consumer voice, quality, and operational data into actionable insights that drive product excellence and customer satisfaction.

This role plays a critical part in supporting Logitech’s mission to become an iconic, customer-centric global brand through data-driven decision-making.

About Logitech

Logitech is a global technology company known for designing innovative products that enable people to work, create, game, and connect better. With operations in 30+ countries and products sold in 100+ markets, Logitech combines global impact with a people-first, flexible work culture.

Logitech promotes equality, sustainability, collaboration, and innovation, offering employees the freedom to work in ways that suit both professional and personal needs.

Quick Job Overview – Data Analyst (Logitech)

Eligibility Criteria

Role Overview – Data Analyst at Logitech

As a Data Analyst, you will partner with cross-functional teams including Engineering, Manufacturing, Quality, Consumer Experience, and Finance to convert complex datasets into meaningful insights. Your work will directly influence product quality, consumer satisfaction, and operational efficiency.

This role is ideal for professionals who enjoy end-to-end analytics ownership, stakeholder interaction, and driving continuous improvement through data.

Key Responsibilities

• Act as a data architecture subject-matter expert, ensuring scalable and aligned data structures
• Translate business questions into analytics initiatives and dashboards
• Perform advanced data mining on consumer, quality, and operational datasets
• Extract actionable insights and present findings to senior stakeholders
• Create reports using transactional, system, and consumer data
• Promote a data-driven culture across business teams
• Standardize metrics and strengthen analytics frameworks
• Collaborate across teams to improve processes and operational performance
• Support continuous improvement initiatives across Quality & CX operations

Technical Skills & Requirements

Mandatory Skills

• Strong experience in data visualization (Tableau preferred)
• Advanced SQL for analytics (Snowflake experience preferred)
• Solid understanding of business metrics and operational analytics
• Experience managing analytics or reporting projects
• Excellent written and verbal communication skills

Good-to-Have Skills

• Python or R for analytics
• Exposure to AI / ML, GenAI, Agentic AI concepts
• Familiarity with modern AI tools (Claude, Gemini, etc.)
• Project management certification (PMP or equivalent)

Behavioral & Professional Skills

• Strong ownership and accountability
• Ability to work independently and collaboratively
• Curiosity and critical thinking mindset
• Comfort working in cross-functional, global teams
• Hands-on approach with willingness to solve complex problems

Why Join Logitech?

• Work on global consumer & quality analytics
• High-impact role influencing product and CX strategy
• Hybrid work flexibility
• Strong emphasis on employee wellbeing & growth
• Inclusive culture that values diversity and individuality

Equal Opportunity & Accessibility

Logitech is an Equal Opportunity Employer and considers all qualified applicants without discrimination. Candidates who require workplace or interview accommodations will be fully supported throughout the hiring process.

FAQs – Logitech Data Analyst Jobs

1. Is this a work-from-home job?
This is a hybrid role, combining remote and on-site work.

2. Is this suitable for freshers?
No. This role requires 5+ years of analytics experience.

3. What tools are mainly used?
SQL, Tableau, Snowflake, and advanced analytics tools.

4. Is programming mandatory?
Not mandatory, but Python or R is a strong advantage.

5. Is there any application or recruitment fee?
No. Logitech never charges any fee during hiring.

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