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Staff Data Analyst - Vancouver, BC, Canada - Match Group
Description
Founded in Vancouver, Canada in 2003, Plenty of Fish is one of the early pioneers in the online dating industry, with one of the largest and most diverse communities of singles.
We're one of the top revenue-driving brands in the Match Group (comprised of Tinder, OkCupid, Hinge and Match.We work hybrid at Plenty of Fish - IRL in our downtown Vancouver office Monday, Tuesday, Wednesday and work remotely the remainder of the week
We are looking for someone to be a part of our outstanding Product Analytics team, who will be working cross-functionally with the rest of the organization to help identify, understand, and improve business and product challenges facing Plenty of Fish.
The Senior Product Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, customer service, and marketing teams.
Provide a variety of stakeholders from Executives, Product Managers, Engineering Managers, or other Data Analysts, with deep-dive quantitative analyses and present them in an immediately usable format, extracting key insights from extensive, complex data setsQuantitatively analyze user behaviour to help determine product strategy and drive business decisions, including driving decisions from A/B test learnings
5+ years of progressive experience using quantitative analysis to make business-focused recommendations
~ Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores.
~ Experience with raw clickstream data (telemetry event data) and datasets of 100 million+ records
~ Experience with web/digital analytics metrics (Daily Active Users, Retention, Churn)
~ Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing
~ Proficiency with SQL or other query languages
~ Strong experience with A/B test analysis
~ In depth experience with data visualization and analytical tools (E.g. Tableau, PowerBI, Looker)
~ Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication
~ Experience with Python or a willingness to learn
$Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. Generous vacation, flex days, professional development days