Position:
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Product Data Analyst
Company:
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Wishlink
Location:
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Gurugram Haryana India
Job type:
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Full time
Job mode:
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Onsite
Job requisition id:
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Not specified in the source so I am generating a placeholder
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WLPA 2024 01
Years of experience:
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Entry level
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Freshers are acceptable
Company description
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Wishlink is a creator focused commerce company built for the changing digital era.
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The company blends shopping and social platforms in a way that allows people to discover products through trusted creators rather than browsing large catalogs.
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Wishlink believes that shoppers want guidance personality and clarity rather than endless scrolling through regular ecommerce sites.
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The company is active in the creator commerce ecosystem and aims to make product discovery easier for buyers and more powerful for creators.
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Wishlink works on the mission to redesign how people find fashion beauty lifestyle and home products.
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The organisation is driven by the idea that creators can influence shopping journeys in an honest and meaningful way.
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The platform is built for speed convenience and personalisation so that users can quickly locate items they appreciate.
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Wishlink has grown consistently and has raised series A funding which signals stability and momentum in the creator commerce landscape.
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The company wants to empower creators to monetise their influence while also helping brands reach the right audience with better accuracy.
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Wishlink is positioning itself as a strong player at the meeting point of entertainment inspiration and shopping.
Profile overview
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As a Product Analyst at Wishlink you support the product team and leadership by offering deep insights based on data.
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You explore user behaviour patterns and identify what shoppers enjoy where they face friction and what features enhance the overall journey.
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You partner with product managers and engineering teams to track performance of key product flows.
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You conduct analysis on conversion movement revenue shifts and creator recommendation effectiveness.
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You work with real world data from a fast moving tech company where a large audience interacts daily.
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You contribute to the improvement of dashboards metric definitions and experimentation frameworks.
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You participate in decisions that impact creators brands and shoppers.
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You help evaluate experiments through structured testing and offer clarity on their outcomes.
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You ensure that product decisions are grounded in factual signals and not guesswork.
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You grow into a role where your insights hold significant influence over product roadmap planning.
Qualifications
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You need strong SQL skills to work with data stored in operational and analytical systems.
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You should know Python and be able to use it for analysis automation and quick exploration of large datasets.
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You should be able to interpret patterns from structured and unstructured information.
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You need to understand metrics associated with user funnels retention engagement content influence and conversion.
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You should be familiar with dashboards and tools used for reporting such as Tableau Looker or similar.
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You should be comfortable presenting findings to senior team members and cross functional groups.
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You need clarity in communication because the role involves translating complex analysis into simple recommendations.
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You must have a degree in statistics mathematics economics computer science or similar fields.
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You should be a proactive learner who explores new approaches without waiting for detailed instruction.
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You should have the ability to work independently and still collaborate smoothly with product engineering and business teams.
Additional info
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Wishlink offers competitive pay along with ESOPs for long term wealth creation.
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The company provides relocation support for those moving to Gurugram.
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Employees get access to learning programs books newsletters and courses funded through a dedicated learning budget.
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The company offers health plans fitness discounts and subscriptions that support personal wellbeing.
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Members of the team participate in outings and off site activities which promote bonding and collaboration.
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Creators who join the company are supported with social media growth insights.
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The environment is energetic and shaped by young engineers analysts and product managers.
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The team structure encourages creativity experimentation and curiosity.
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Employees get access to Wishlink apps which helps them understand user experience from the inside.
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The culture rewards ownership fast learning and strong problem solving.
Detailed responsibilities
Working with product managers
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Support product managers in selecting meaningful indicators that reveal how users behave and how the platform performs.
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Help define clear measurable targets for features flows and product surfaces.
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Maintain a library of approved metrics so that all teams use consistent definitions.
Analysing behaviour and trends
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Explore user interactions to identify recurring behaviour and potential gaps.
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Track creator influence patterns and understand what drives higher purchases.
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Monitor changes in traffic sessions and conversions through structured analysis.
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Explore industry competition to learn what works well in the creator commerce space.
Building dashboards
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Create dashboards that clearly explain movement in key product indicators.
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Maintain existing dashboards and update them as new metrics are introduced.
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Present insights from dashboards to product teams on a regular basis.
Working with engineering and design
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Collaborate with the engineering group to prioritise product improvements.
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Communicate insights that highlight usability issues or new feature opportunities.
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Work with design teams to validate user experience changes with data.
Running experiments
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Prepare experiment plans for AB tests and other structured experiments.
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Monitor experiment progress and ensure that data required for evaluation is captured correctly.
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Evaluate test results and share findings with team members in simple language.
Presenting insights
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Build slides and summaries for senior management that combine product knowledge with analytical depth.
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Offer practical recommendations grounded in quantitative signals.
Please click here to apply.

