Analytics Engineer
To see similar active jobs please follow this link: Remote Development jobs
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable hospitality at scale, helping brands to do more with less, and making every guest feel like a regular.
We are looking for an Analytics Engineer to join a newly formed Central Analytics team within the finance organization. Reporting to the Sr. Director of Business Analytics, you will be responsible for developing & maintaining data models to support reporting & analysis. Focusing first on the go-to-market function, your work will help drive performance management & key decisions around a complex implementation process. As part of a newly formed team, this role will be critical to establishing baselines for robust data models to answer a wide range of questions to drive growth at Olo.
You can work remotely from anywhere in the U.S. or at Olo’s headquarters in NYC.
What You'll Be Doing
Design and implement scalable data models in DBT to support reporting and analytics needs
Develop, maintain, and optimize data pipelines and ETL processes using SQL and DBT for use by central analytics team
Collaborate with the central analytics team alongside the Go to Market team to understand data requirements to deliver actionable insight
Create and maintain documentation for data processes, models, and workflows.
Support the development of dashboards and reports, particularly on Tableau Server
Monitor and troubleshoot data quality issues, ensuring the accuracy and reliability of data assets.
Stay updated with industry best practices and emerging technologies to continuously improve our analytics capabilities.
What We'll Expect From You
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering or a related field
3-5+ years of experience in a data engineering or analytics role
Strong Proficiency in SQL for data extraction, manipulation, and transformation. Experience with querying Salesforce data a plus
Experience with DBT for transforming data within data warehouses
Familiarity with Python and Snowflake a plus
Strong analytical and problem-solving skills, with attention to detail
Excellent communication skills and ability to work collaboratively in a team environment
About Olo
Olo (NYSE: OLO) is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 700 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
We’re remote-friendly. Since 2015, we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely across the U.S. If you're in the New York City area, you can choose to work remotely or from Olo's headquarters, on the 82nd floor of One World Trade Center.
We offer great benefits, such as 20 days of paid time off, 10 separate sick days, 11 holidays, plus year-end closure, health, dental, and vision coverage for yourself and your family, a 401k match, remote-office stipend, company equity, a generous parental leave plan, volunteer time off, gift matching policy, and more!
Our best estimate of the compensation range for this opportunity is $91,684 - $124,874 annually, depending on the experience you bring and your location. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.
We encourage you to apply!
We value diversity. At Olo, we know a diverse and inclusive team makes our workplace better. Don't meet every single qualification in the job description? Market data shows that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace that is free from discrimination and harassment; this allows us to make better decisions and better serve the communities we’re a part of. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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.
California Residents: CCPA notice
About the job
Analytics Engineer
To see similar active jobs please follow this link: Remote Development jobs
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable hospitality at scale, helping brands to do more with less, and making every guest feel like a regular.
We are looking for an Analytics Engineer to join a newly formed Central Analytics team within the finance organization. Reporting to the Sr. Director of Business Analytics, you will be responsible for developing & maintaining data models to support reporting & analysis. Focusing first on the go-to-market function, your work will help drive performance management & key decisions around a complex implementation process. As part of a newly formed team, this role will be critical to establishing baselines for robust data models to answer a wide range of questions to drive growth at Olo.
You can work remotely from anywhere in the U.S. or at Olo’s headquarters in NYC.
What You'll Be Doing
Design and implement scalable data models in DBT to support reporting and analytics needs
Develop, maintain, and optimize data pipelines and ETL processes using SQL and DBT for use by central analytics team
Collaborate with the central analytics team alongside the Go to Market team to understand data requirements to deliver actionable insight
Create and maintain documentation for data processes, models, and workflows.
Support the development of dashboards and reports, particularly on Tableau Server
Monitor and troubleshoot data quality issues, ensuring the accuracy and reliability of data assets.
Stay updated with industry best practices and emerging technologies to continuously improve our analytics capabilities.
What We'll Expect From You
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering or a related field
3-5+ years of experience in a data engineering or analytics role
Strong Proficiency in SQL for data extraction, manipulation, and transformation. Experience with querying Salesforce data a plus
Experience with DBT for transforming data within data warehouses
Familiarity with Python and Snowflake a plus
Strong analytical and problem-solving skills, with attention to detail
Excellent communication skills and ability to work collaboratively in a team environment
About Olo
Olo (NYSE: OLO) is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 700 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
We’re remote-friendly. Since 2015, we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely across the U.S. If you're in the New York City area, you can choose to work remotely or from Olo's headquarters, on the 82nd floor of One World Trade Center.
We offer great benefits, such as 20 days of paid time off, 10 separate sick days, 11 holidays, plus year-end closure, health, dental, and vision coverage for yourself and your family, a 401k match, remote-office stipend, company equity, a generous parental leave plan, volunteer time off, gift matching policy, and more!
Our best estimate of the compensation range for this opportunity is $91,684 - $124,874 annually, depending on the experience you bring and your location. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.
We encourage you to apply!
We value diversity. At Olo, we know a diverse and inclusive team makes our workplace better. Don't meet every single qualification in the job description? Market data shows that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace that is free from discrimination and harassment; this allows us to make better decisions and better serve the communities we’re a part of. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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.