
MANDATORY CRITERIA:
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
WHAT YOU WILL DO?
● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
● Performing competitive benchmarking and industry research to support product strategy and prioritization.
● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.
● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.
WHAT WE ARE LOOKING FOR?
● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
● Strong analytical, quantitative, and problem-solving skills.
● Proficiency in SQL and ability to work with large datasets.
● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.
● Ability to work collaboratively in cross-functional teams.
● Passion for product, user behavior, and data-driven decision-making
● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
● Understanding of product management concepts and tools (Jira, Confluence, etc.).
● Knowledge of Python or R for data analysis (optional but beneficial).
● Exposure to consumer tech, mobility, travel, or marketplaces.

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What We Are Looking for in the Candidate
Experience Level
- 1.5 – 2.5 years of hands-on performance marketing experience
- Independently managed live Google & Meta ad accounts
- Experience working in a startup, SME, or agency environment preferred
- Has handled real campaign budgets (not just internship/demo accounts)
Google Ads Expertise (Primary Requirement)
- Strong experience in Search Ads
- Working knowledge of Display & Performance Max
- Experience with Remarketing campaigns
- Basic understanding of YouTube Ads
- Conducted keyword research independently
- Implemented negative keyword strategies
- Optimized bids (Manual CPC, Max Conversions, tCPA, tROAS)
- Monitored CPA, ROAS, CTR, Quality Score
- Managed and optimized campaign budgets regularly
- Set up and verified conversion tracking
Meta Ads Expertise (Primary Requirement)
- Hands-on experience with Facebook & Instagram Ads
- Built full-funnel campaigns (Awareness to Conversion)
- Created Custom & Lookalike audiences
- Implemented retargeting strategies
- Installed and monitored Meta Pixel
- Optimized based on CPL, CAC, ROAS
- Improved campaign performance using data insights
Tracking & Analytics Knowledge
- Experience with Google Analytics
- Basic working knowledge of Google Tag Manager
- Understanding of conversion tracking setup
- Knowledge of attribution models
- Ability to read and interpret funnel metrics
Performance Optimization Skills
- Daily campaign monitoring
- Budget allocation between campaigns
- Scaling profitable campaigns
- Pausing or restructuring low-performing ads
- Conducting A/B testing (creatives & copy)
- Identifying funnel drop-offs
Reporting & Data Mindset
- Can prepare weekly performance reports
- Provides insights, not just numbers
- Makes data-driven decisions
- Comfortable explaining performance metrics clearly
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Location : Bodakdev, Ahmedabad
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Plan, manage, and execute digital marketing campaigns across social media platforms, Google Ads, Meta (Facebook/Instagram), and other online channels.
Create engaging digital content including posts, videos, to attract target audiences.
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. Observe all the stock reports, product orders, re-order etc.
.Finding and developing new markets and improving sales.
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ShareNest is India’s first technology-enabled, asset light marketplace that makes second home ownership accessible, affordable and enjoyable for everyone. ShareNest's vision is to enrich lives by democratizing second home ownership, making it enjoyable and making it accessible for all. Our innovative co-ownership model is a unique combination of owning an aspirational, fully managed second home along with the benefit of financial upside from real estate investment.
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Job Description:
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- Proficient in Object Oriented JavaScript programming and working with JS frameworks on both client and server-side
- In depth knowledge and working experience in full stack development, for example in Node JS and Mongo DB based implementations as a MEAN stack dev
- Experience implementing applications using Sails.JS, Angular or ExpressJS frameworks
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To attend meetings with potential Clients to determine technical and business requirements and ensuring that all necessary information is collated prior to producing a solution
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