Senior Product Analyst

Liquidnitro; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Liquidnitro Games in Hyderabad, India is seeking a Senior Product Analyst to drive data-driven decisions for a new free-to-play mobile title. You will partner with PMs, designers, engineers, and publishers to understand player experiences and identify growth opportunities.

You will own analytics from hypothesis through experimentation and live operations, translating complex data into actionable product insights that shape features and monetization strategies.

Qualifications

• 6+ years in data analytics, product analytics or game analytics, preferably mobile gaming.
• Strong understanding of free-to-play mobile gameplay, player behavior, retention, engagement, monetization.

Responsibilities

• Analyze player journeys, engagement, retention, progression, and monetization to identify friction points and opportunities.
• Evaluate game mechanics, level difficulty, progression systems, virtual currencies, rewards, in-app purchases, and live events to improve player experience and business outcomes.
• Design and evaluate A/B tests, define success metrics, apply statistical methods, and recommend launches or iterations.
• Define success metrics for playtests, early access, soft launches, and global launches; analyze early player behavior to guide iterations.
• Define product KPIs, telemetry requirements, validate instrumentation, build reusable datasets and dashboards for monitoring.
• Apply exploratory data analysis, statistical modeling, forecasting, and simulation to test hypotheses and estimate impact of changes.
• Evaluate events, content updates, promotions, and new features to understand impact on engagement and monetization.
• Independently lead analytical investigations, identify root causes, and translate findings into concise recommendations for product teams.
• Partner with cross-functional teams to prioritize opportunities and measure impact of changes.

Skills

SQL

Python/R

Statistics

A/B Testing

Cohort analysis

Data visualization

Experiment design

Game analytics

Stakeholder comms

Independent ownership

Education

Bachelor's in a relevant field

Tools

BigQuery

Firebase

Power BI

Tableau

Job description

Liquidnitro Games is agame development company built to create, launch, and scale ambitious games fora global audience.

Founded by industryveterans with deep experience across free-to-play, live services, andlarge-scale game production agnostic of platforms, we bring together productthinking, design craft, engineering depth, art execution, data, and liveoperations under one roof.

We build games fromthe ground up, take new ideas from 0 to 1, and work with select partners tostrengthen, scale, and operate high-quality game experiences.

Our teams combinecreative ownership with production discipline, helping projects move from earlyprototypes to validated products, and from launch to long-term growth.

At Liquidnitro, we arebuilding the next generation of game teams, products, and tools from India forthe global games industry.

Aboutthe Role

We are looking for a Senior Product Analyst to help build, launch and scale anambitious new free-to-play mobile game.

The ideal candidatecombines strong analytical and statistical skills with product thinking, apassion for gaming and the ability to independently drive complex analyticalprojects.

This is a hands-onrole for someone who understands games, is curious about player behavior andcan translate complex data into meaningful product decisions.

You will work closelywith product managers, game designers, engineers, producers and publishingteams to understand how players experience the game, identify opportunities toimprove engagement, retention and monetization, optimize game systems and helpshape the product from development through launch and live operations.

We are looking forsomeone who goes beyond reporting what happened to understanding why ithappened, identifying what could change and helping teams measure whether thosechanges worked.

You should becomfortable working with incomplete data, forming hypotheses, designingexperiments and influencing product decisions with clear, actionable insights.

Responsibilities

• Player Behavior & Product Analytics: Analyze player journeys, engagement,retention, progression, and monetization to identify friction points,behavioral patterns, and opportunities for improvement.
• Game Economy & Monetization: Evaluate game mechanics, leveldifficulty, progression systems, virtual currencies, rewards, in-apppurchases, and live events to improve player experience and businessoutcomes.
• Experimentation & Optimization: Design and evaluate A/B tests, definesuccess and guardrail metrics, apply appropriate statistical methods, andrecommend whether to launch, iterate, or discontinue features.
• Go-To-Market Analytics: Define success metrics for playtests,early access, soft launches, and global launches. Analyze early playerbehavior, onboarding, retention, progression, and monetization to identifyissues, assess launch readiness, and guide product iteration.
• Metrics & Analytics Infrastructure: Define product KPIs, establish telemetryrequirements, validate event instrumentation, and build reusable datasets,dashboards, and analytical frameworks for reliable product monitoring.
• Advanced Analytics: Apply exploratory data analysis,statistical modeling, forecasting, and simulation to investigatehypotheses and estimate the potential impact of product changes.
• Live Operations & Growth: Evaluate events, content updates,promotions, and new features to understand their impact on engagement,retention, and monetization.
• Product Decision Support: Independently lead analyticalinvestigations, identify root causes, challenge assumptions, and translatecomplex findings into clear recommendations for product and game designteams.
• Stakeholder Collaboration: Partner with cross-functional teams toprioritize analytical opportunities, influence product decisions, andmeasure the impact of implemented changes.

WhatWe're Looking For

MustHave

· 6+ years of professionalexperience in data analytics, product analytics or game analytics, preferablywithin mobile gaming, consumer products or digital entertainment.

· Strong understanding offree-to-play mobile games, player behavior, retention, engagement, progressionand monetization.

· Advanced SQL skills, includingthe ability to independently query, transform and analyze large, complexevent-level datasets.

· Hands-on proficiency in Pythonor R for data analysis, statistical modeling, simulation or automation.

· Strong foundation instatistics, probability, hypothesis testing, experimental design and A/Btesting.

· Experience with cohortanalysis, funnel analysis, segmentation, retention analysis, conversion,monetization and lifetime value.

· Experience building dashboardsand analytical reports using Tableau, Power BI, Looker or equivalent BIplatforms.

· Ability to conduct exploratorydata analysis, develop analytical models and interpret findings to supportproduct decisions.

· Experience collaborating withproduct and engineering teams to define tracking plans, validate telemetry andensure data reliability.

· Demonstrated ability toindependently own analytical projects from problem definition through analysis,recommendations and impact measurement.

· Strong analytical storytellingand stakeholder communication skills, with the ability to influence game designand product decisions through clear, evidence-based recommendations.

· Strong problem-solving skills,product judgment and the ability to translate ambiguous questions intostructured analytical approaches.

· Ability to operateindependently, manage multiple priorities and work closely withcross-functional teams.

Good to Have

· Direct experience analyzing acommercially launched free-to-play mobile game.

· Experience with action,survival, shooter, RPG or other progression-heavy game genres.

· Experience analyzing gameeconomies, virtual currency flows, reward systems and progression balance.

· Experience with statisticalsimulation, predictive modeling, churn prediction, LTV forecasting or advancedplayer segmentation.

· Familiarity with game analyticsplatforms such as GameAnalytics, Firebase, Amplitude or equivalent tools.

· Experience with cloud datawarehouses such as BigQuery, Snowflake or Redshift.

· Experience building reusabledata models, analytical datasets and automated reporting pipelines.

· Experience working on gamesfrom development through soft launch and global launch.

· Experience supporting liveoperations, in-game events, offers, personalized player experiences and contentoptimization.

· Familiarity with AI-assistedanalytical workflows and automation tools.

This is an opportunityto help shape a new game from its early stages, building the analyticalfoundations that will inform its development, launch and long-term success.

You'll work alongsideexperienced game creators and product leaders, with the opportunity toinfluence gameplay systems, progression, economies, engagement and monetizationthrough data.

At Liquidnitro,analytics is not just a reporting function. We believe it should be an integralpart of how great games are designed, evaluated and improved.

If you love games,enjoy uncovering the reasons behind player behavior and want your analysis todirectly influence what gets built, we'd love to hear from you.