product analyst

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

product analyst hyderabad what you will do - measure feature and product impact across L0 (business outcomes), L1 (product flow), and L2 (feature-level micro-events) metrics post-launch, and feed structured inputs to the BI team for reporting - investigate questions about current users by slicing cohorts and user segments to answer "who is this user, what are they doing, and why" with data - track and analyse A/B experiments executed via ProductOps, report variant performance, and give PMs a clear, data-backed recommendation on whether to kill or scale - identify data gaps and outside-in signals, including share-of-wallet benchmarks from the analytics team, to surface areas of underperformance and opportunity for the PM to act on - ensure data is tagged and instrumented correctly ahead of every feature launch, work with engineering and ProductOps to confirm data readiness before go-live - own the measurement of conversion, TAT, and drop-off metrics across user journeys, and proactively flag anomalies before anyone asks - communicate findings clearly to PMs and cross-functional stakeholders, not just tables and charts, but a point of view on what the data means and what should happen next - use AI tools (Claude, ChatGPT, Copilot) to accelerate your own analysis, summarising outputs, generating commentary on metric movements, classifying data at scale. spot opportunities where the AI or BI team could build something more permanent, and bring those requests forward you should apply if you - are proficient in SQL you can write queries independently to extract, filter, aggregate, and join data

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