As a Director of Business Analytics, you will work closely with the company executives to generate actionable business insights. You must have expertise in end-to-end data analytics processes from ETL to business analysis, executive level presentations, and managing a team.
You will have a deep understanding of SaaS customer analytics such as Lifetime Value, Churn, Segmentation, etc with a background in a quantitative or technical field, and will have experience working with large datasets. You are focused on results, are a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a business.
We are located in Santa Monica right off the Third Street Promenade.
Strategic ability: Able to craft a compelling vision, and then carry it out in a well-developed strategy.
Develop actionable business insights gathered from effective analytical/problem-solving.
Crisp communication skills, including presenting information effectively to management and executives
Develop a game plan for optimizing the BI platform by determining how best to use existing data analytics, architecture, and technology, and where to make improvements.
Establish best practices for BI, data warehousing, and data governance.
Leadership capabilities and experience: coaching a team on the pros and cons of different types of analytics, data modeling, and providing mentorship on extrapolating and examining insights from large data sets. Provide thought leadership to partners and stakeholders in determining which BI solutions will enable the enterprise to achieve defined business goals. Able to influence the organization and partners, and to push back where necessary.
Apply your expertise in quantitative analysis, data mining, and the presentation of client data to see beyond the numbers and understand how our business users interact with both our products.
Partner with Product, Sales, Finance and the exec team to solve problems at scale and identify trends and opportunities for the company
Must have expertise in the following analysis areas:
Business / Performance Forecasting
Designing and evaluating experiments
Identifying new levers to help move key metrics
Monitoring key product metrics
Evaluating and defining metrics
Understanding root causes of changes in metrics
Building and analyzing dashboards and reports
Building key data sets to empower operational and exploratory analysis
Understanding ecosystems, user behaviors, and long-term trends
Building models of user behaviors for analysis or to power production systems
Influencing product teams through presentation of data-based recommendations
Communicating state of business, experiment results, etc to product teams
Spreading best practices to analytics and product teams
3+ years experience doing quantitative analysis at a top-tier tech company
Deep understanding of customer analytics
BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields from top-tier institution (Graduate degrees preferred)
Experience in SQL
Development experience in Python or R
Ability to communicate the results of analyses with product and leadership teams
Understanding of statistics (e.g., hypothesis testing, regressions)
Experience manipulating data sets through statistical software or other methods
Experience with distributed computing Spark/Hadoop
Experience with Amazon Redshift and Athena is a plus
Competitive salary and equity package
Fully paid medical benefits (medical, dental and vision) for self and 50% for families.
Help grow a venture backed tech company
Paid time off
Unlimited sick leave
401k Retirement Savings Plan
Free snacks and drinks
And many more perks...