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Product Data Analyst Job Opening In Coimbatore – Now Hiring Responsive


Job description

About Responsive
Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information.

The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences.

Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more.

Responsive is headquartered in Portland, OR, with additional offices in Kansas City, MO and Coimbatore, India.

Learn more at responsive.io.
About the Role
We are looking for a Product Data Analyst who can turn raw product usage data into meaningful insights that shape product strategy and improve customer experience.

The ideal candidate is highly analytical, skilled at digging deep into product data, and able to clearly communicate insights that drive decision-making.

You will work closely with product managers, customer success, and leadership teams to uncover trends, identify opportunities, and measure the impact of product initiatives.
Experience with ETL and BI tools is a plus, but the primary focus is on analyzing data, deriving insights, and storytelling.

Familiarity with product analytics platforms (Mixpanel, Gainsight PX, Amplitude, etc.) is an advantage.
Key Responsibilities:
Product Data Analysis: Analyze product usage, customer behavior, and funnel performance to identify trends, bottlenecks, and opportunities for growth.
Insights & Storytelling: Translate complex data into clear, actionable insights with compelling narratives for product, growth, and leadership teams.
Stakeholder Collaboration: Partner with product managers and other teams to define KPIs, track success metrics, and recommend data-informed decisions.
Experimentation & Measurement: Support feature usage tracking, feature adoption studies, and customer journey analysis to measure product impact.
Data Preparation: Clean, structure, and prepare datasets for analysis, ensuring accuracy and usability.
Visualization & Reporting: Build intuitive dashboards and reports to monitor key product metrics and democratize data access across the organization.
Continuous Improvement: Stay up-to-date with product analytics best practices, tools, and methodologies.
Skills Required:
Strong analytical skills with proven ability to interpret large datasets and provide actionable insights.
Proficiency in SQL for data querying and manipulation.
Strong data visualization and storytelling skills (Tableau, Looker Studio, Power BI, or similar).
Experience with product analytics tools (e.g., Mixpanel, Gainsight PX, Amplitude) is highly desirable.
Ability to work independently with minimal direction, while collaborating effectively with cross-functional teams.
Excellent communication skills — able to explain data-driven insights to both technical and non-technical audiences.
Nice to Have:
Knowledge of Python/R for advanced data analysis and automation.
Experience with data extraction and ETL workflows.
Familiarity with customer success or SaaS product analytics.
Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
2–4 years of experience as a Product Analyst / Data Analyst, ideally in a SaaS or product-driven company.
Proven track record of influencing product decisions through data insights.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Product Data Potential: Insight & Career Growth Guide


Real-time Product Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Product Data in Coimbatore, India, highlighting market share and opportunities for professionals in Product Data roles.

204538 Jobs in India
204538
1355 Jobs in Coimbatore
1355
Download Product Data Jobs Trends in Coimbatore and India

Are You Looking for Product Data Analyst Job?

Great news! is currently hiring and seeking a Product Data Analyst to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Responsive adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Product Data Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Coimbatore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Product Data Analyst?

Key qualifications for Product Data Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Product Data Analyst?

To improve your chances of getting hired for Product Data Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Product Data Analyst Job Success

Responsive interview tips for Product Data Analyst

Here are some tips to help you prepare for and ace your Product Data Analyst job interview:

Before the Interview:

Research: Learn about the Responsive's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Product Data Analyst interview at Responsive, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Responsive's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Product Data Analyst Positions

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