Specialist - Data Engineering

Role 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 Strong 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 Other Details Vacancy Type: New Vacancy Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, Vision Health Care Spending Account Short Term and Long-Term Disability Coverage Life Insurance Annual vacation and other Paid Leaves Maternity Leave Top Up Pay The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Accessibility and Reasonable Accommodation: LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at [email protected] so that arrangements can be made for the appropriate accommodations to be in place.

Drive data-informed product decisions by designing experiments and analyzing user behavior to improve customer experience. Partner with Product, UX, and Engineering teams to define KPIs and translate complex analyses into actionable product roadmaps.

Requires 5-8 years of experience in product analytics or data science with strong proficiency in SQL, Python, and statistical methods. A degree in a quantitative field and experience with BI tools and event-based telemetry are preferred.

• Comprehensive Medical Plan • Dental Insurance • Vision Insurance • Health Care Spending Account • Short Term Disability Coverage • Long-Term Disability Coverage • Life Insurance • Annual Vacation • Paid Leaves • Maternity Leave Top Up Pay

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Product Analytics
• A/B Testing
• SQL
• Python
• Statistics
• Hypothesis Testing
• Data Visualization
• Power BI
• Tableau
• Looker
• Telemetry
• Data Modeling
• Cohort Analysis
• Causal Inference
• Stakeholder Management
• User Behavior Analysis

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

26 janv. 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level