Job Location: Remote
Are you passionate about leveraging data to solve interesting business problems? On a daily basis we collect and analyze millions of data points to help to solve the problems of parking, charging, and mobility. We’re looking for a Sr. Data Analyst to join our growing Business Analytics team and help us make it faster and easier for people to get where they need to go. In this position, you’ll have a hand in driving the direction of first-to-market, cutting-edge digital and physical products that are revolutionizing how people get around.
The Business Analytics team at FLASH owns the flow of data from its raw state in our data warehouse to the BI tools and data products that consume it. This means our analysts are regularly building/updating ETLs and data models via SQL, surfacing data in our BI tools via dashboards and interactive data products, and working with stakeholders across multiple departments to formulate goals and build a deeper understanding of our two-sided marketplace. Your day-to-day work will be SQL and BI-tool heavy, but will also require you to operationalize ambiguous business problems into answerable questions, translate the data you pull into effective visualizations, and clearly communicate key findings.
This role in particular will be primarily focused on a mix of marketing and product analytics, which means working on things like goal/KPI tracking; modeling, visualizing, and analyzing user behavior; dashboard creation and maintenance; performance-based alerting and data quality investigations; A/B test proposals and analysis; marketing campaign optimization; and much more. We’re in an exciting and rapidly evolving industry that requires constant innovation, evaluation, and iteration. Come help us perfect the parking, charging, and mobility experience and make an impact on millions of drivers across North America.
What You’ll Be Doing:
- Work with variety of data sources – extracting knowledge and actionable information from massive datasets
- Build and flesh out data models in our Redshift database for use in regular and/or automated reporting and analysis
- Expand the breadth of questions that internal stakeholders can solve independently by adding on to and refining our heavily-used BI tools, Looker and Tableau
- Be a passionate problem solver – breaking down problems and developing analytical insights
- Work with product managers and marketers to develop actionable, story-telling dashboards for regular monitoring of key metrics and underlying signals
- Continuously strive for a deeper understanding of our business drivers
- Convey your work and results to a wide variety of internal and external stakeholders – nerds and non-nerds
- Evaluate process inefficiencies and identify areas where you can create, automate, and develop tools (SQL-based or otherwise)
- Diagnose data-related bugs in our SQL code and ensure they are resolved in a timely manner
- Support the business with ad hoc and regular reporting
What You’ll Bring to the Table:
- 2+ years supporting product (preferred), marketing (preferred), or other business operations in a professional analytics capacity
- Familiarity with marketing metrics such as LTV (lifetime value), CAC (customer acquisition cost), and ROAS (return on ad spend) is preferred, but not required
- Familiarity with product metrics and analyses such as conversion rate, product funnels and user behavior analysis, A/B testing, and segmentation is preferred, but not required
- A love for insights, innate curiosity, and a deep desire to find ways to create value
- Solid communication skills
- Passion for automation
- Comfort in a complex data environment and understanding of data structures
- Experience with SQL and Excel/Google Sheets
- Experience with some flavor of data visualization (we primarily use Looker, with a splash of Tableau)
- Familiarity with transactional (OLTP, e.g. Postgres) and data warehouse (OLAP, e.g. Redshift) environments, as well as data modeling for facilitating easy-to-access insights
- The business sense to understand why you’re pulling data and whether it seems accurate…not just pulling it
- You like to formulate the right questions versus just seeking answers to make sure the best and smartest decisions get made
What You’ll Get:
- The tools – or additional tools, if need be – to get the job done
- A data engineering team to help you get clean, reliable, and consistent data
- Solve big problems across departments and for leadership
- High functioning, collaborative, and capable teammates with a desire to both share their knowledge and learn from you
- The opportunity to directly impact success for a rapidly growing business in a fast-paced industry
- Have a hand in driving the direction of first-to-market, cutting-edge digital and physical products that are revolutionizing how people get around
Join us in making a difference as we build our future. FLASH is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. FLASH prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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