Job Description:

Product Analyst

As a Product Analyst you will drive datainformed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behavior You will partner closely with Product UX and Engineering to shape product strategy and improve customer experience across the security products

Key Responsibilities

Lead experimentation strategy Design execute and analyze AB tests and quasiexperiments to evaluate product and feature impact on engagement retention and customer satisfaction

Drive product insights Conduct deepdive analyses on user journeys onboarding funnels feature adoption and retention cohorts to identify growth and optimization opportunities

Define and operationalize metrics Establish northstar metrics KPIs and guardrails ensure consistent definitions across teams and dashboards

Enable product decisionmaking Translate complex analyses into clear actionable recommendations for product roadmaps and prioritization

Improve data foundations Partner with data engineering and platform teams to ensure highquality telemetry scalable data models and reliable reporting layers

Leverage advanced analytics Apply statistical techniques segmentation cohort analysis regression causal inference to uncover drivers of user behavior and product performance

Collaborate crossfunctionally Work closely with Product Managers Designers and Engineers to embed analytics into the product development lifecycle

Mentor and elevate analytics practices Guide analysts on experimentation design metric definition and storytelling best practices





Communicate effectively Deliver clear compelling insights to stakeholders and leadership through dashboards presentations and narratives

About You

5-8 years of experience in product analytics advanced analytics or data science with strong product focus

Solid experimentation expertise Handson experience designing and interpreting AB tests and quasiexperimental methods eg differenceindifferences matching

Advanced analytical skills Proficient in SQL and Python for data analysis strong foundation in statistics and hypothesis testing

Product analytics experience Deep understanding of user behavior analysis funnel optimization retention and feature adoption metrics

Data visualization storytelling Experience with BI tools such as Power BI Tableau or Looker to communicate insights effectively

Telemetry data modeling knowledge Experience working with eventbased data and defining tracking for digital products

Business and product acumen Ability to connect data insights into product strategy and customer experience improvements

Strong communication and stakeholder management skills with the ability to influence decisions across teams





Bachelors or masters degree in a quantitative field a plus Statistics Computer Science Engineering Mathematics or related

Skills:

Mandatory Skills : ANSI-SQL, Python for DATA

About Company:

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/

📌 Specialist - Data Engineering (Mississauga)
🏢 LTIMindtree
📍 Mississauga