Analytics Engineer

Posted 2024-11-19

📍 Location: U.S.

🔍 Industry: Restaurant industry

🪄 Skills: SQLData AnalysisData analysisCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingMicrosoft OfficeAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitaskingDocumentationMicrosoft Office Suite

Requirements:

NOT STATED

Responsibilities:

Developing and maintaining data models to support reporting and analysis.
Focusing initially on the go-to-market function.
Helping drive performance management and key decisions regarding complex implementations.
Establishing baselines for robust data models to answer a wide range of questions promoting growth at Olo.

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📍 Kenya, Philippines, Mexico, India, United States

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📍 US, UK, Philippines, Poland, South Africa

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Able to automate processes and deploy applications in Python, developing production standard scripts.
Confidence working with command line, version control, testing, and code reviews.
Problem-solver who understands business issues and communicates commercial impact.
Advocate for data-driven decision-making and strives to improve processes.
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Open-minded with respect to diversity and inclusivity.

Building and maintaining data models to expose reliable data for analysis and reporting.
Communicating with analysts and business stakeholders to understand commercial requirements and translating them into technical solutions.
Developing standards and best practices for data consumption, including educating data consumers on data quality.
Identifying opportunities to reduce complexity and increase efficiency across data models and the data warehouse.
Ensuring data quality is high, including testing, automation, scalability, and documentation.

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📍 AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, WA

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Strong interpretive skills for deconstructing complex data into usable models.
Product mindset to build long-lasting data systems for insights.

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Foster a curiosity mindset and guide other teams to improve the quality of their metrics.
Champion data governance, security, privacy, and retention policies.
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Advanced proficiency in SQL and data modeling.
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Experience in data engineering, analytics engineering, or a similar role, preferably in the cybersecurity or tech industry.
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Familiarity with Python for data processing.
Experience with Kimball data modeling and designing scalable data architectures.
Excellent communication skills and the ability to collaborate with cross-functional teams.
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Develop and maintain the company's data warehouse and analytics infrastructure using best practices.
Partner with engineering teams to create and maintain data models that power key business metrics.
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Lead monitoring and alerting on data pipelines.
Optimize data system performance, reducing query times and ensuring data availability.
Mentor and provide technical guidance to junior analytics engineers.

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Proficiency with SQL, Snowflake, Python, and BI tools like Sigma or Tableau.
Hands-on experience with ETL tools such as Airflow or dbt.
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Develop and enhance the Analytics Data Layer (ADL) for scalable data pipelines.
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Produce high quality data models and dashboards.
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Support design and analysis of A/B and multivariate tests.
Prioritize workload and support timely delivery of insights.
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Analytics Engineer

Requirements:

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