
Data Analytics Lead
1+ million mobile app developers and marketing teams use OneSignal to send push notifications, in-app messages, emails, and SMS messages. We started as a YCombinator-backed company. Our founders were frustrated with existing push notification tools, so we built our own system.
When you pick up your smartphone, the first thing you will see are push notifications - maybe there’s a breaking news alert, a football game reminder, a promo from your favorite retailer. Whatever it is, chances are the message you are reading was sent using OneSignal.
We have raised a total of $35M from investors including SignalFire, Y Combinator, Rakuten Ventures, and Hubspot. OneSignal customers include Volkswagen, Verizon, Burger King, 7 Eleven, Zynga, Virgin Mobile, KFC, and many more. Join us in scaling the business!
OneSignal has a lot of the great tech startup qualities you'd expect, but we don't stop there. OneSignal handles a large amount of scale sending over 10 billion messages a day and also emphasizing a healthy life balance and kindness in all our interactions, and focus on ownership and personal growth make OneSignal a uniquely great place to work.
The individual in this role will be both an individual contributor and capable of growing out a team and managing Data Analysts as well as Data Engineers over time. We have a lot of data as we have over 1.6 million developers on OneSignal and send 10+ billion messages a day (and growing) so an ability to work with data systems at scale will be key. As a strategic member of the Operations team, you will be responsible for unifying OneSignal’s data stack and enabling all teams to confidently make data-based decisions to inform our growth & GTM strategy.
In a typical month, a Data Analytics Lead at OneSignal might:
Maintain and build ETL pipelines between SaaS tools and the data warehouse. This could include Salesforce, Marketo, Intercom, NetSuite, Recurly, and backend entitlement data. In particular, making sure business teams have access to data they can action upon in their respective tooling to grow the business or to message our customers
Maintain and scale a cloud data warehouse that can be connected to a business intelligence tool. This may mean using the current tool that we have (metabase) or evaluating new tools. This could also mean redesigning the way data is stored in our backend systems
Build a tool that will allow people across the company to have access to data while fulfilling customer compliance obligations that will scale with the company growth
Create automated cohort analysis and revenue bridges to monitor acquisition, expansion, and churn
Help evaluate and develop and build automated tracking of KPIs across the business as well develop in depth reports and dashboards for individual groups across the organization
Evaluate ways to increase the efficiency of internal data flows and centralize sources of truth
Derive actionable insight from the data including working with sales teams, customer success, and others to build reports to both acquire and retain customers
Additionally, this role will require strong cross functional collaboration particularly with the engineering team, product teams, sales, and marketing teams
This role requires work authorization in the US and can be done remotely in California, Texas, New York, or Pennsylvania
What you'll bring:
6+ years of professional experience, including analytics, business intelligence, data engineering, data science or comparable fields
Skilled at querying relational databases (SQL) and ability to pull data from various sources
Proficiency with at least one analytics language such as Python
In-depth experience with web analytics tools and analyzing online customer behavior
Familiarity with the Google Cloud Platform is preferred as our infrastructure is hosted on Google Cloud
Strong critical thinking skills and attention to detail
Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses
Knowledge of database systems and data pipelines
Passionate about understanding customers and their behavior
Experience using business intelligence tools such as Tableau, Looker, etc to develop and enhance dashboards and reports preferred
Qualities we look for:
Friendliness
Modesty
Ability to collaborate well on a team
Can deliver solutions independently
Self Starter
Love of learning
In keeping with our beliefs and goals, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on 'protected categories,' we also strive to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place in our workplace.
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