Staff Data Analyst, Plenty of Fish

Product Analytics

$130-164k

SQL

Python

Tableau

Looker

Senior and Expert level

Vancouver

3+ days a week in office

Online dating platform

Job no longer available

Online dating platform

101-200 employees

B2CSocialDatingCommunity

Job no longer available

$130-164k

SQL

Python

Tableau

Looker

Senior and Expert level

Vancouver

3+ days a week in office

101-200 employees

B2CSocialDatingCommunity

Company mission

To find new ways for singles to connect while easing the pressures of dating.

Job

Company

Role

Who you are

5+ years of progressive experience using quantitative analysis to make business-focused recommendations
Strong communication skills at different levels of organizational hierarchy
Strong understanding of incrementally as well as sizing business problems and opportunities
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

What the job involves

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 sets
Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies
Quantitatively analyze user behaviour to help determine product strategy and drive business decisions, including driving decisions from A/B test learnings
Take ownership of ambiguous and complex analytical assignments
We work hybrid at Plenty of Fish - IRL in our downtown Vancouver office Monday, Tuesday, Wednesday and work remotely the remainder of the week

Our take

Online dating is one of the areas that has seen renewed growth as virtual interactions are increasingly replacing physical interactions. Plenty of Fish is an online, easy to use, dating app that has established a strong presence for consumers on the dating scene. It offers its customers a diverse community of single people to choose from.

Unlike several of its competitors, Plenty of Fish has become a singles’ favourite because it allows them to view matches and send messages between users for free. Since becoming part of the Match family (along with Match.com, Tinder, and Hinge), the platform has been able to keep up its low-barrier model for its users.

Plenty of Fish has grown to a massive 150+ million registered user count. It boasts users in over 20 countries and across 11 languages. The company remains one of few steady-state dating platforms, and is poised to keep increasing over the coming years.