Posting record
Open 13+ days
- Already up when Ghostless started watching Lenskartcareers
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Lenskartcareers, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
- Bachelor's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
What You Will Do
- Work closely with teams across the company to understand their data requirements and develop solutions that allow them to make data-backed decisions
- Build, maintain and enhance self-serve data products such as dashboards and tables to reduce time to insights and for tracking product group KPIs
- Identify key metrics and conduct rigorous exploratory data analysis to enable decision making and business prioritization for senior-level stakeholders
- Communicate findings through well documented analyses and visualizations
- Design, run and measure experiments to test business hypotheses
What You Will Need
- Bachelor's Degree in Science, Engineering, IT and Mathematics from top-tier colleges
- 5+ years of professional experience in data analytics and business intelligence
- Strong understanding of database designs & ETL principles
- Strong hands on experience with SQL, Python/R
- Experience in working with analytics tools like Power BI, Tableau & Google Analytics in building dashboards and performance score cards.
- Strong capability to understand business problems in the context of an Omni Channel Retail and use data to solve them
- Strong stakeholder management skills and assertively manage expectations and negotiate
- Good to have- experience with e-commerce or product based organization
- Excellent communication, team-work and problem-solving skills.
- Basic knowledge of machine learning techniques like Regression, Classification etc.
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