Product Analyst
Joveo · Bangalore Urban, Karnataka, India
- Hybrid
- Full-time
- $100,000 / year
- Bangalore Urban, Karnataka, India
Job highlights
- Analyze data to drive product decisions.
- Develop and test product hypotheses.
- Utilize AI tools for faster insights.
- Collaborate with Product and Engineering teams.
- This is a remote, high-impact role.
About the role
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
What We’re Looking For
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
- Remote-friendly role
- High ownership, high impact
Key skills/competency
- Product Analyst
- Data Analysis
- AI Tools
- Hypothesis Testing
- A/B Testing
- KPIs
- Data Visualization
- Communication
- Problem Solving
- Snowflake
Skills & topics
- Product Analyst
- Data Analysis
- AI
- Machine Learning
- Recruitment Marketing
- Talent Acquisition
- Business Intelligence
- Data Science
- Analytics
- SaaS
- Snowflake
- A/B Testing
- KPIs
- Hypothesis Testing
- Remote
How to get hired
- Tailor your resume: Highlight product analytics experience and AI tool usage.
- Showcase analytical skills: Quantify achievements in data analysis and problem-solving.
- Demonstrate AI proficiency: Emphasize hands-on experience with AI tools like GPT or Claude.
- Prepare for case studies: Practice analyzing data and formulating recommendations.
- Emphasize collaboration: Show how you work with cross-functional teams.
Technical preparation
Practice SQL for data extraction from Snowflake.,Master AI prompt engineering for analysis.,Prepare to design A/B tests.,Build example dashboards in Tableau/Looker.
Behavioral questions
Describe a time you uncovered a key insight from messy data.,How do you form and test hypotheses?,Give an example of using AI to speed up analysis.,How do you communicate complex data to non-technical stakeholders?
Frequently asked questions
- What kind of data will a Product Analyst at Joveo work with?
- A Product Analyst at Joveo will work with diverse datasets related to recruitment marketing, user behavior on their platform, campaign performance, and application funnels. This includes data from platforms like Snowflake, enabling analysis of trends, anomalies, and performance drivers to inform product strategy and business outcomes.
- How important is AI experience for this Product Analyst role at Joveo?
- AI experience is a must-have for this Product Analyst position at Joveo. The role explicitly requires hands-on experience using AI tools like GPT or Claude to accelerate analysis, identify patterns, generate hypotheses, and improve the speed and quality of insights, reflecting Joveo's AI-first approach to recruitment marketing.
- What does 'high ownership, high impact' mean for a Product Analyst at Joveo?
- For a Product Analyst at Joveo, 'high ownership, high impact' means you'll have significant responsibility for driving key product decisions through data analysis and insights. Your work will directly influence product roadmap, strategy, and business outcomes, allowing you to make a substantial impact within the company.
- What are the primary responsibilities of a Product Analyst at Joveo?
- The primary responsibilities of a Product Analyst at Joveo include analyzing datasets to generate insights, formulating and testing hypotheses, designing and executing experiments, building clear data visualizations and reports, and collaborating closely with Product, Engineering, and Business teams to inform strategic decisions.
- Does Joveo offer opportunities for career growth for Product Analysts?
- While the description doesn't explicitly detail career paths, Joveo's focus on AI-powered solutions and its position as a fast-growing company suggests ample opportunities for professional development. A Product Analyst role with high impact and product exposure provides a strong foundation for growth within the company or the broader AI/recruitment tech industry.
- What are the key technical skills required for the Product Analyst role at Joveo?
- Key technical skills for this role include strong analytical thinking, experience with data analysis, hands-on experience with AI tools (GPT, Claude), familiarity with data platforms like Snowflake, and ideally, experience with BI tools (Tableau, Looker) and Python for data analysis.
- How can I best prepare for the Product Analyst interview at Joveo?
- To prepare for the Product Analyst interview at Joveo, focus on showcasing your analytical thinking, problem-solving abilities, and experience with data analysis and AI tools. Be ready to discuss how you've used data to drive product decisions, your approach to hypothesis testing, and your experience with relevant technologies like Snowflake and AI assistants.