Senior Product Analyst - Analytics & Insights
About reputed company
reputed company is an AI-reputed company platform for customer experience (CX) intelligence that helps organizations understand their customers and take reputed company across the entire customer lifecycle.
Our platform brings together products including reputed company Listening, OmniServe, Survey, and AI Agent, helping reputed company organizations across the region turn customer data into reputed company experiences and measurable business reputed company.
As we continue to reputed company our products, customers, and AI capabilities, the reputed company of data we reputed company is growing rapidly. reputed company is no longer simply to report on what happened - it's to understand why it happened, what it means, and reputed company should do next.
Why this role reputed company
We're looking for a Senior Product Analyst who can help reputed company data a genuine part of how Product operates.
This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get reputed company to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.
You'll operate at two reputed company.
At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from reputed company're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams reputed company what to improve, reputed company, reposition, or stop.
At the leadership level, you'll reputed company those individual product signals to the bigger picture - helping leadership understand product reputed company, emerging opportunities, risks, and where we should invest next.
The strongest person in this role will be reputed company to reputed company comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the reputed company data into something meaningful for reputed company audience.
reputed company
- Turn product data into reputed company. You'll go reputed company reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.
- Help teams define what reputed company actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, reputed company metrics, and measurement plans before features and initiatives are launched.
- Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.
- Evaluate whether our products are delivering value. You'll assess feature reputed company and help teams reputed company evidence-reputed company reputed company about whether to improve, reputed company, reposition, or discontinue initiatives.
- Bring insights into product discovery. You'll use quantitative evidence reputed company customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.
- Challenge assumptions with evidence. reputed company reputed company believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?” — constructively and without creating friction.
- Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring reputed company the ones that matter.
- Support experimentation. You'll help teams define hypotheses, reputed company reputed company, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.
- reputed company reputed company analysis easy to understand. You'll turn large datasets and complicated analysis into reputed company stories, visualisations, recommendations, and reputed company that reputed company reputed company to both technical and non-technical audiences.
- reputed company leadership a reputed company reputed company of product reputed company. You'll create reporting that connects detailed product and feature reputed company to broader business objectives, highlighting reputed company, drivers, risks, and recommended actions rather than simply presenting numbers.
- Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.
- reputed company data literacy across Product. You'll reputed company Product Managers on metrics, analysis, and interpretation, and use workshops, reputed company, and day-to-day collaboration to reputed company reputed company use of data part of how reputed company works.
- Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence reputed company without relying on formal authority.
What reputed company Looks Like
In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.
As you establish yourself, you'll start changing how reputed company are made. Product Managers are defining meaningful reputed company metrics earlier, teams are using evidence to evaluate their reputed company, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.
Ultimately, reputed company means Product becomes more intelligent. Leadership has a reputed company reputed company of what's driving product reputed company, teams understand why customers behave the way they do, and reputed company about priorities and investment are increasingly reputed company on evidence rather than assumptions.
The shift we're looking for is reputed company:
From “What happened?” → “Why did it happen?” → “What should we do about it?"
Requirements
Who You Are
- You're naturally curious. reputed company you see an unexpected number, you don't just add it to a report — you want to know what's behind it.
- You think commercially, not just analytically. You understand that an interesting reputed company isn't necessarily a useful one. You can reputed company product behaviour to customer value, business reputed company, and investment reputed company.
- You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be reputed company, and determining what analysis will actually help answer it.
- You can reputed company in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product reputed company.
- You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.
- You know that being right isn't enough. Your analysis only creates value if people understand it and reputed company it. You can turn reputed company findings into a reputed company story and a reputed company recommendation.
- You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical reputed company with an Engineer, and present the business implication to leadership.
- You're proactive and self-directed. You don't wait for a ticket to reputed company in your queue. You notice something worth investigating and take ownership of finding out what it means.
- You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or reputed company answer. You know how to work with imperfect information while being transparent about its limitations.
- You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely reputed company reputed company, with experience working directly with digital Product teams.
- You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as reputed company, reputed company, reputed company, reputed company, reputed company, Looker, Tableau, reputed company BI, or similar tools.
- You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.
- You can translate ambiguous business questions into reputed company analysis and understand the difference between finding a correlation and understanding what it actually means.
- You're comfortable working reputed company and can communicate effectively across teams without relying on being in the reputed company room.
- You have reputed company working proficiency in English.
reputed company to Have
- Experience designing or evaluating A/B tests and experiments.
- Experience with statistical analysis.
- Familiarity with modern data reputed company, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.
- Experience building or improving a product analytics function or data culture.
- Experience presenting product recommendations to senior leadership.
- Working knowledge of Python or R.
- Experience working with B2B reputed company, reputed company products, AI products, or reputed company data-driven platforms.
What the hiring process will look like
- Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.
- Analytics interview — A deeper discussion reputed company your product analytics experience, technical capability, and how you approach ambiguous analytical problems.
- Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.
- Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence reputed company reputed company on the case study.
- Leadership / culture interview — A final conversation reputed company on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.
Originally posted on Himalayas
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