Senior Data Analyst

Posted 23 Days Ago
Palo Alto, CA, USA
In-Office
Senior level
Fintech • Mobile • Payments • Software
The Role
Analyze product and business data to generate actionable insights, conduct hypothesis-driven investigations and A/B tests, build business intelligence dashboards and alerts, recommend analytics tools, and track lifetime value and cohorts. The role partners with developers, the Head of Growth, and executive leadership to influence product strategy and live operations.
Summary Generated by Built In
Company Description

Make anyday pay day.

Activehours is reinventing the way people get paid by giving them immediate access to the money they’ve earned. We’re looking for passionate hackers, thinkers, and innovators to push our product even further. We celebrate victory, don’t shy from failure, and are always learning.

Join our tight-knit team in a highly collaborative environment, where you’ll help shape the next stages of our roadmap from inception to production. Your work will help people access their pay and change their financial futures. If that sounds like your dream job, we want to hear from you.



Job Description

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We’re a rapidly growing company, with an established product-market fit, on the verge of scaling. 

As a live-service software company, data analysis and insights drive the product roadmap and trajectory of the company. A history of analytical excellence and driving actionable insights at prior companies is critical for this role. The Senior Data Analyst will report directly to the Head of Growth, but will also work closely with the CEO and executive team.  

As part of a rapidly growing startup, you’ll have the freedom to shape your role, choose your tools, and set the direction of analytics for the product.  

Responsibilities:
  • Deep-dive, synthesize, and articulate actionable next steps by leveraging our full ecosystem of data sources (in-app data, 3rd party tools, industry trends, consumer research)
  • Hypothesis-driven testing, including defining, facilitating, and analyzing A/B testing
  • Define strategy and execution for business intelligence and live operations reporting, including dashboards and alerts.  
  • Recommend analytical tools to implement in partnership with developers and the Head of Growth
  • Lifetime value and cohort tracking

Qualifications

  • Minimum of 3 years of demonstrable experience in digital data and measurement (live service mobile applications and experience scaling product a plus)
  • Deep expertise in SQL. Experience in Python and R a plus
  • Bachelor’s degree in mathematics, statistics, computer science, or related quantitative field. Master’s degree a plus
  • Must be an effective communicator to peers and upper management
  • Deep experience in hypothesis-driven data investigation
  • Must possess a results-driven attitude and be able to handle multiple deadlines and projects
  • Fearless personality: willing to question the accepted wisdom and disagree with colleagues when the data supports it

Additional Information

Press from the past two months:

  • http://www.buzzfeed.com/carolineodonovan/the-end-of-payday-how-activehours-is-giving-freelancers-more# 
  • http://www.thefeed.us/gadgets/apps-wish-thought-first/
  • http://roadwarriorvoices.com/2015/06/02/startup-allows-lyft-drivers-and-other-hourly-workers-to-get-paid-sooner/
  • http://www.washingtonpost.com/blogs/wonkblog/wp/2015/06/15/workers-in-america-have-problems-meet-the-technologies-trying-to-solve-them/
  • http://socialracemedia.com/activehours-app-waiting-for-paychecks-is-a-thing-of-the-past/
  • http://www.forbes.com/sites/elainepofeldt/2015/05/31/startup-aims-to-free-lyft-drivers-and-hourly-workers-from-cash-flow-crunch/

Skills Required

  • Minimum 3 years of demonstrable experience in digital data and measurement
  • Deep expertise in SQL
  • Experience with Python
  • Experience with R
  • Bachelor’s degree in mathematics, statistics, computer science, or a related quantitative field
  • Master’s degree
  • Effective communication with peers and upper management
  • Deep experience in hypothesis-driven data investigation
  • Results-driven ability to handle multiple deadlines and projects
  • Willingness to question accepted wisdom and disagree when supported by data
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The Company
600 Employees
Year Founded: 2012

What We Do

Activehours, later rebranded as EarnIn, develops financial technology that gives people immediate access to wages they have already earned rather than making them wait for payday. Its mission is to make every day payday and help users improve their financial futures. The company operates as a live-service software business, using data analysis and product innovation to expand its earned-wage-access offering.

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