Senior Product Data Analyst
Role Overview
As a Senior Product Data Analyst at Lemonade, you will be part of the Analytics team, tackling analytical questions and monitoring metrics to drive business and product decisions. Your day-to-day responsibilities will include conducting A/B tests, extracting and analyzing data, and presenting key findings to stakeholders, all while collaborating with product managers and data teams. This senior-level role will have a significant impact on improving product offerings and business strategies through data-driven insights.
Perks & Benefits
This remote position offers flexibility in work location, promoting a healthy work-life balance. The role encourages continuous learning and adaptation to the evolving field of AI, fostering a culture of curiosity and exploration. While the specific time zone expectations are not mentioned, the collaborative nature of the role suggests a need for overlapping hours with team members. Career growth opportunities are likely available within a fast-growing consumer company.
Full Job Description
We’re looking for a sharp Senior Product Data Analyst who’s infinitely curious when it comes to leveraging data to solve product and business problems.
You’ll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, you’ll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role you’ll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward
What you’ll need:
5+ years experience as a data/product/business analyst, preferably within a fast-growing consumer company
Degree in Industrial Engineering, Mathematics, Statistics, or a related field
Experience working with SQL
Experience working with BI tools (Looker, Tableau, Mixpanel etc.)
Data-driven, familiar with A/B testing best practices, and adept at working with large data sets
Comfortable working with product managers, as well as data engineering and data science teams, and proficient in presenting technical information in English
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture
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