Head of Analytics in Palo Alto, CA

$200K - $250K(Ladders Estimates)

Earnin   •  

Palo Alto, CA 94301

Industry: Finance & Insurance


11 - 15 years

Posted 58 days ago

This job is no longer available.

About the Team:

  • We are an exceptional place to practice analytics and would love to work with you to continue to build on these advantages:
  • A company culture that embraces analytics as a full partner in decision making, not just a service to get data from
  • An uncommon business model that requires thinking carefully about analysis rather than simply applying patterns you've seen before
  • A wealth of datasets that give us deep insight into user behavior
  • Ongoing investment in building data engineering and infrastructure teams to support analytics and data science efforts
  • We are business-focused when it comes to output—we want to drive great decisions and outcomes for our users and our business, no matter what kind of analysis that means we're doing. We are technically-oriented in our input—we want to make sure that the analysis that we're doing is repeatable and scalable.

Overview of the Role:

The Head of Analytics is focused on driving tangible business impact. They will recruit and retain great talent, build and maintain processes and infrastructure and provide leadership for all of analytics and business intelligence.

The Head of Analytics is a partner for all aspects of the business and at all levels. They are proactive and look at all the data to identify opportunities and risks that the company should focus on. They give decision makers access to the data and analysis that they need to make the best decisions possible. Partnering with company leadership and the leaders of cross functional teams, the Head of Analytics will lead the team to enrich understanding of business drivers, maintain tools to allow self-service for well-understood metrics and provide guidance on ad hoc analysis to understand new areas of the business.

The ideal candidate will be an exceptional leader with strong business savvy and communications skills, Day to day role is keeping the team on track and excited for challenges aligned with business goals, holding the team and its partners accountable for metrics, quality of work and timelines, increasing Earnin's reputation as an excellent place to grow a career in data analysis and demonstrating intellectual integrity.

High-Level Responsibilities:

1) Build the team

  • Determine what roles are most needed for the business
  • Attract and source candidates
  • Select candidates who will be the best fit for the company's needs and culture
  • Close candidates, often against competitive offers

2) Manage the team

  • Ensure a bright, enthusiastic and capable team is aligned to and deployed against projects with the highest business impact
  • Help analysts and business intelligence engineers achieve their career goals
  • Make sure that team members understand how to have an impact and make sure they are aware of that impact when they've made it
  • Explain complicated stats or data technology concepts

3) Guide the work across a wide area of responsibilities

  • Marketing
  • Paid acquisition optimization, including LTV predictions, attribution models
  • Television, radio and other point in time attribution
  • Billboards and possibly other geo-lift attribution
  • Brand awareness/affinity metrics
  • Tracking across different products, properties and platforms
  • Ops
  • Operational metrics for customer support (ticket times, agent productivity, etc.)
  • Operational metrics for queue/back office tasks
  • Understanding how service speed and quality affect business metrics
  • Product
  • Continuing to dig deeper into the drivers for performance
  • User segmentation
  • Best practices for AB testing, consistent analysis of results and cataloguing of what we learn
  • Making sure that we have a really solid understanding of and control over our core financial engine

4) Drive technology requirements and investments that make analytics a strategic weapon for the company

  • Business intelligence tooling
  • ETL infrastructure
  • Client-side tracking instrumentation
  • Unified view of customer data across tools and services used by the business

5) Interface with other groups

  • Leadership to be sure that decisions are informed and analysis is in service of company goals
  • User research to understand the emotions and motivations behind user behavior
  • FP&A to make sure that the entire company is aligned on goals and how to drive towards them
  • Data engineering to be sure that analytics has access to data and tools needed
  • Data science to be sure that work isn't being duplicated and everyone understands our business in the same way

Experience required:

  • Bachelor's degree, preferably in a quantitative field
  • MBA preferred
  • 10+ years of work in analytics or data science
  • 5+ years of people management
  • Providing leadership to organizations to champion the use of data for better decision- making
  • Hiring and coaching analysts and business intelligence engineers
  • Strong professional background using SQL and python for data manipulation
  • Implementation of data infrastructure (data pipelines, ETL, CDI, client-side tracking)
  • Can apply statistics to business problems (e.g. split testing)

Valid Through: 2019-9-13