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Data Analyst (Remote, USA)

Remote in New York, NY
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Data Analyst (Remote, USA)

The Data Analyst provides our customers, partners and internal stakeholders with insights and industry trends including the usage, health, and return on investment of the Olo platform. 
At Olo we are metrics obsessed, striving to learn and evolve; hence, data is a core component of empowering our customers and partners, as well as internal decision making. This data analyst will partner with product, engineering, finance, marketing, sales and customer success and thus requires pivotal cross-functional leadership and collaboration across all levels of the business.
The right candidate is able to have a high level strategic conversation and can go deep into the technical analysis.  You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC on the 82nd floor of One World Trade Center.
Problem Solver: You love the challenge of solving problems no one else can, and won’t stop until you have a solutionDetail Oriented: You leave no stone unturned and strive to fully understand both problems and solutionsCritical Thinker: You analyze information objectively and make reasoned judgmentsSelf-starter: You are someone who can identify needs and take action with little directionContinuous Learner: You have a desire to continually develop as an individual and team contributor, including but not limited to expanding technical skills and business knowledge

What You’ll Be Doing

  • Provide insight into the value of the Olo platform using Olo's multiple data stores/sets, both internally (marketing, customer success, product, etc.) and externally (Customers and Partners) through product features and case studies. 
  • Fulfill regular and ad hoc reporting and insights requests across the organization as part of an internal service center, uncover data patterns and generate actionable insights for internal/external stakeholders, including helping measure impact of product features to Olo’s business
  • Work with the internal partners across Product, Engineering, Customer, Marketing, and Finance teams, help define and own such key SaaS business metrics as customer retention, customer conversion, customer lifetime value with key business partners
  • Partner with our teams to propose and develop new data products and tools, including data dashboards and models
  • Lead the evolution of data pipelines to support scalable business processes while maintaining reporting accuracy and operational timelines
  • Communicate findings to a wide range of internal/external business stakeholders through an approach that facilitates learning, prioritization, and action
  • Collaborate with other team members on increasing data literacy and culture internally and externally.
  • Act as an advocate for data integrity and quality
  • Ambitious analysts will have the opportunity of designing experiments and performing statistical analysis.

What We’ll Expect From You

  • Bachelor’s Degree 
  • 3+ years of experience in data analytics or business intelligence
  • Strong SQL experience
  • Experience with Excel or Google Sheets
  • Ability to work independently in a fast-paced work environment
  • Passion for analyzing data to find meaningful insights and speaking to them
  • Outstanding ability to thoughtfully explain problems and resolutions, comfortable with creating proper documentations for work
  • Top-notch communication and the ability to educate a range of stakeholders, from individual contributors to senior management and executives
  • US citizen or Permanent Resident

Nice to Have

  • Experience of working for a SaaS and/or marketplace organization
  • ​​Experience with common data programming languages (e.g. Python, R, etc.) and  related data science libraries 
  • Experience with BI/data visualization tools (e.g., Looker, Tableau or PowerBI)
  • Restaurant industry experience
  • Experience working in an Agile environment
  • Working knowledge of statistics, regression, time series forecasting, etc.
  • Working knowledge of stored procedure
  • R or Python programming experience
  • Working experience with A/B test experimentation and ability to understand key statistics to help drive product development
  • Knowledge / experience with Lookml, dbt or a related semantic data layer a plus
  • Experience in Salesforce, Zendesk, Jira, Asana a plus.
About Olo
Olo is a leading on-demand commerce platform powering the restaurant industry’s digital transformation. Millions of orders per day run on Olo’s enterprise SaaS engine, enabling brands to maximize the convergence of digital and brick-and-mortar operations. The Olo platform provides the infrastructure to capture demand and manage consumer orders from every channel. With integrations to over 100 technology partners, Olo customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market. Over 500 restaurant brands use Olo to grow digital sales, maximize profitability, and preserve direct consumer relationships. Learn more at
Olo's headquarters is located on the 82nd floor of One World Trade Center. In addition to our NYC cohort, over 75% of our team works remotely across the U.S. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, a 401k match, dental and vision care premiums, company equity, a generous parental leave plan, and perks like team events. Check out our culture map:
We encourage you to apply!
We value diversity. At Olo, we know a diverse and inclusive team not only makes our products better, but our workplace better. Many groups are underrepresented across the tech sector and we are committed to doing our part to move the needle.
Olo is an equal opportunity employer and diversity is valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.
If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!