Product Data Analyst

Greetings from ExpertusONE!!

Start your career with the fast growing product based company...

Company Description:

ExpertusONE is a leading enterprise learning platform trusted by global organizations like Johnson & Johnson, Siemens, Hitachi, and ABB. The platform's award-winning LMS combines intuitive design and mobile accessibility to address diverse learning and skill development needs for employees, customers, and partners. ExpertusONE integrates seamlessly with tools such as Salesforce, Slack, and Microsoft Teams, and leverages AI to deliver personalized content, interactive training, and actionable insights. Known for its flexibility and innovation, ExpertusONE empowers organizations to optimize workforce performance and engagement.

About the Role:

Product Data Analyst

data operations, product insight generation, and AI validation support.

• Location: Chennai (Work From Office)

• Experience: 4–8 years

What You’ll Do:

• Own our data pipelines and analysis:

  Write and optimize complex SQL queries to extract and analyze data across multiple systems.

• Enable data-driven decisions:

  Build and maintain simple in-house dashboards (using tools like Looker Studio.

• Support AI feature development:

• Create, label, and curate

  test datasets

  for model training and validation.
• Conduct

  accuracy and quality checks

  on model outputs and experiments.
• Collaborate with AI engineers to evaluate data readiness and feature performance.

• Partner with Product teams:

  Translate business questions into measurable metrics and provide actionable insights.

• Ensure data hygiene:

  Proactively identify inconsistencies, improve data quality, and maintain source-of-truth documentation.

What You’ll Need:

• 4–8 years of hands-on experience as a

  Data Analyst

  or

  BI Analyst

  .
• Strong SQL & data analysis skills — comfortable with joins, CTEs, window functions, and performance optimization.
• Experience with at least one dashboarding tool (Metabase, Power BI, Looker, or equivalent).
• Solid understanding of data validation, sampling, and quality checks.
• Curiosity and comfort working with AI/ML product teams (you don’t need to code models, but you should understand data’s role in them).
• Good communication skills — you can explain data stories without jargon.

Nice-to-Haves

• Exposure to Python (Pandas, basic scripting).
• Familiarity with

  feature store concepts

  , model evaluation metrics, or A/B testing.
• Prior experience with AI data workflows (labelling, synthetic data creation, validation).

Why Join Us

AI-enabled product development

Interested candidates can apply this job post, suitable candidates will be scheduled for the interview.

All the very best!!

Warm Regards,

Kannan Lakshmanan

Manager - HR