Joveo Bangalore Urban, Karnataka, India

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Direct message the job poster from Joveo

Shantanu Bhombe

Shantanu Bhombe

Talent Acquisition Leader | AI & Talent Tech | Built Tech Startups, GCCs | Ex-Amazon, Ex-Sears

About Joveo

As the global leader in AI-powered, high-performance recruitment marketing, Joveo is transforming talent attraction and recruitment media buying for the world’s largest employers, staffing firms, RPOs, and media agencies. The Joveo platform enables businesses to attract, source, engage, and hire the best candidates on time and within budget.

Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies for three years in a row.

Powering millions of jobs every day, Joveo’s data-driven recruitment marketing platform uses advanced data science and machine learning to dynamically manage and optimize talent sourcing and applications across all online channels while providing real-time insights at every step of the job seeker journey, from click to hire.

For more information about Joveo’s award-winning platform, visit www.joveo.com

About The Role

At Joveo, we’re building intelligent systems that power recruitment marketing at scale. As a Product Analyst, you will play a key role in turning data into decisions, helping teams understand what’s working, what’s not, and where to focus next.

This is an execution-focused role with strong product exposure. You will work closely with Product Managers to analyze data, uncover insights, and support experiments that directly impact product performance and business outcomes.

If you enjoy solving problems using data, thinking in hypotheses, and using AI tools to move faster, this role is for you.

What You’ll Do

Data Analysis & Insight Generation

• Analyze datasets to uncover trends, anomalies, and performance drivers
• Identify opportunities and issues across product features and business metrics
• Define and track key performance indicators (KPIs)
• Validate findings by cross-checking across multiple sources
  
  

Hypothesis-Driven Problem Solving

• Form clear, testable hypotheses based on data patterns
• Design and execute experiments (A/B testing, cohort analysis, etc.)
• Interpret results and translate them into actionable recommendations
• Focus on decision-making and impact, not just reporting
  
  

AI-First Analytics Workflow

• Use tools like GPT, Claude, or similar AI assistants as part of your daily workflow
• Accelerate analysis through:
• Faster exploration of data
• Pattern identification
• Automating repetitive analysis tasks
• Continuously improve speed and quality of insights using AI
  
  

Data Exploration

• Work with data from platforms like Snowflake to extract and analyze information
• Navigate messy or evolving datasets and still derive reliable insights
  
  

Visualization & Communication

• Build dashboards and reports that are clear and actionable
• Communicate insights in a structured way so stakeholders can act without follow-ups
• Present findings to Product, Engineering, and Business teams
  
  

Cross-Functional Collaboration

• Partner closely with Product Managers to support roadmap decisions
• Work with Engineering and Business teams to validate assumptions and measure impact
• Contribute to a culture of data-driven decision making
  
  

Core Requirements

What We’re Looking For

• 2+ years of experience in Product Analytics / Data Analytics
• Strong analytical thinking - ability to break down ambiguous problems and derive insights
• Experience identifying opportunities, issues, and performance drivers from data
  
  

AI & Modern Analytics (Must-Have)

• Hands-on experience using AI tools (GPT, Claude, etc.) in your workflow
• Ability to use AI for:
• Faster analysis
• Hypothesis generation
• Insight discovery
• Mindset of leveraging AI to improve speed and quality of work
  
  

Product & Business Understanding

• Basic understanding of product metrics, funnels, and user behavior
• Ability to connect data insights to business and product outcomes
• Comfortable working in a fast-moving, ambiguous environment
  
  

Communication & Ownership

• Clear written and verbal communication
• Ability to document findings and propose next steps independently
• Strong ownership mindset and attention to detail
  
  

Good to Have

• Experience in advertising, ad-tech, or marketing analytics
• Familiarity with B2B or SaaS products
• Exposure to Python for data analysis
• Experience with BI tools (Tableau, Looker, Power BI, etc.)
• Experience with experimentation frameworks or A/B testing
  
  

What Makes You a Great Fit

• You don’t just report numbers — you ask “what’s the insight and what should we do?”
• You are comfortable working with incomplete or messy data
• You move fast, iterate quickly, and don’t wait for perfect data
• You actively use AI to amplify your output
• You can work independently while staying aligned with product goals
  
  

Work Setup

• Remote-friendly role
• High ownership, high impact
• Seniority level Associate
• Employment type Full-time
• Job function Product Management
• Industries Software Development
  
  

What You’ll Do

Data Analysis & Insight Generation

• Analyze datasets to uncover trends, anomalies, and performance drivers
• Identify opportunities and issues across product features and business metrics
• Define and track key performance indicators (KPIs)
• Validate findings by cross-checking across multiple sources
  
  

Hypothesis-Driven Problem Solving

• Form clear, testable hypotheses based on data patterns
• Design and execute experiments (A/B testing, cohort analysis, etc.)
• Interpret results and translate them into actionable recommendations
• Focus on decision-making and impact, not just reporting
  
  

AI-First Analytics Workflow

• Use tools like GPT, Claude, or similar AI assistants as part of your daily workflow
• Accelerate analysis through:
• Faster exploration of data
• Pattern identification
• Automating repetitive analysis tasks
• Continuously improve speed and quality of insights using AI
  
  

Data Exploration

• Work with data from platforms like Snowflake to extract and analyze information
• Navigate messy or evolving datasets and still derive reliable insights
  
  

Visualization & Communication

• Build dashboards and reports that are clear and actionable
• Communicate insights in a structured way so stakeholders can act without follow-ups
• Present findings to Product, Engineering, and Business teams
  
  

Cross-Functional Collaboration

• Partner closely with Product Managers to support roadmap decisions
• Work with Engineering and Business teams to validate assumptions and measure impact
• Contribute to a culture of data-driven decision making
  
  

Core Requirements

• 2+ years of experience in Product Analytics / Data Analytics
• Strong analytical thinking - ability to break down ambiguous problems and derive insights
• Experience identifying opportunities, issues, and performance drivers from data
  
  

AI & Modern Analytics (Must-Have)

• Hands-on experience using AI tools (GPT, Claude, etc.) in your workflow
• Ability to use AI for:
• Faster analysis
• Hypothesis generation
• Insight discovery
• Mindset of leveraging AI to improve speed and quality of work
  
  

Product & Business Understanding

• Basic understanding of product metrics, funnels, and user behavior
• Ability to connect data insights to business and product outcomes
• Comfortable working in a fast-moving, ambiguous environment
  
  

Communication & Ownership

• Clear written and verbal communication
• Ability to document findings and propose next steps independently
• Strong ownership mindset and attention to detail
  
  

Good to Have

• Experience in advertising, ad-tech, or marketing analytics
• Familiarity with B2B or SaaS products
• Exposure to Python for data analysis
• Experience with BI tools (Tableau, Looker, Power BI, etc.)
• Experience with experimentation frameworks or A/B testing
  
  

What Makes You a Great Fit

• You don’t just report numbers — you ask “what’s the insight and what should we do?”
• You are comfortable working with incomplete or messy data
• You move fast, iterate quickly, and don’t wait for perfect data
• You actively use AI to amplify your output
• You can work independently while staying aligned with product goals
  
  

Work Setup

• Remote-friendly role
• High ownership, high impact
  
  

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