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. 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.
The Business Analytics team at Arrive 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 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. We're in an exciting and rapidly evolving industry that requires constant innovation, evaluation, and iteration. Help us perfect the parking experience and make an impact on the industry!
What you'll be doIng:
Work with a variety of data sources - extracting knowledge and actionable information from massive datasetsBuild and flesh out data models in our Redshift database for use in regular and/or automated reporting and analysisExpand the breadth of questions that internal stakeholders can solve independently by adding on to and refining our heavily-used BI tools, Looker and TableauBe a thought leader and close partner with internal stakeholders to help them build creative solutions to business problems with the help of dataContinuously strive for a deeper understanding of our business driversConvey your work and results to a wide variety of internal and external stakeholders – nerds and non-nerdsEvaluate 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 mannerSupport the business with ad hoc and regular reportingContribute to project prioritization and development of the Business Analytics roadmapMentor fellow analysts, as needed, in both technical and strategic skills
What you brIng to the table:
4+ years supporting marketing, product, or other business operations in a professional analytics capacity (marketing team support experience highly preferred)A love for insights, innate curiosity, and a deep desire to find ways to create valueVery strong communication skills with both technical and non-technical audiencesPassion for automationComfort in a complex data environment and understanding of data structuresFluent in SQL and Excel (experience with Python or R is a plus, but not expected)Experience with some flavor of data visualization (we use Looker and Tableau)Familiarity with transactional and data warehouse environments (Postgres, Redshift), as well as data modeling for facilitating easy-to-access insightsThe business sense to understand why you're pulling data and whether it seems accurate...not just pulling itYou like to formulate the right questions versus just seeking answers to make sure the best and smartest decisions get made
What you get:
The tools - or additional tools, if need be - to get the job doneA data engineering team to help you get clean, reliable data and maintain the ETLs you buildSolve big problems across departments and for leadershipHigh functioning, collaborative, and capable teammates with a desire to both share their knowledge and learn from youOpportunity to directly impact success for a rapidly growing business in a fast-paced industry
More about the team:
We are a tight knit team that is fun, inclusive, and hard working. We have a firm, non-negotiable no jerk policy. We accept you for who you are and consider everyone on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.