[Hiring] Senior Product Analyst - Analytics & Insights @Lucidya

Role Description

We're looking for a Senior Product Analyst who can help make 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 close 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 levels:

• At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building.
• At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.

The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.

What You'll Do

• Turn product data into decisions.
• Help teams define what success actually means.
• Understand how customers use our products.
• Evaluate whether our products are delivering value.
• Bring insights into product discovery.
• Challenge assumptions with evidence.
• Identify opportunities before you're asked.
• Support experimentation.
• Make complex analysis easy to understand.
• Give leadership a clear view of product performance.
• Help Product become more self-sufficient with data.
• Raise data literacy across Product.
• Build trust across teams.

What Success Looks Like

• In your first 3-6 months, you'll be building trust.
• As you establish yourself, you'll start changing how decisions are made.
• Ultimately, success means Product becomes more intelligent.

Who You Are

• You're naturally curious.
• You think commercially, not just analytically.
• You don't need to be given the question.
• You can zoom in and out.
• You're willing to challenge people.
• You know that being right isn't enough.
• You're a strong communicator.
• You're proactive and self-directed.
• You're comfortable with ambiguity and a changing environment.
• You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field.
• You're technically strong.
• You understand product metrics deeply.
• You can translate ambiguous business questions into structured analysis.
• You're comfortable working remotely.
• You have professional working proficiency in English.

Nice to Have

• Experience designing or evaluating A/B tests and experiments.
• Experience with statistical analysis.
• Familiarity with modern data stacks, 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 SaaS, enterprise products, AI products, or complex 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 around 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 decisions based on the case study.
• Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.