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Analytics Engineer

Kula Example New York, New York, United States

6 h ago
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Analytics Engineer will lead the development of data analytics solutions and maintain dbt models to ensure data accuracy and actionable insights. They will collaborate with cross-functional stakeholders to define KPIs and integrate machine learning models into scalable data solutions.

What they look for

Dbt SQL Looker Tableau Data Modeling Dimensional Modeling Git Version Control Data Engineering Business Intelligence KPI Definition Data Governance Machine Learning Integration Stakeholder Management Data Analytics

Requirements

Candidates must have 3+ years of experience with dbt, SQL, and BI tools such as Looker or Tableau. Strong proficiency in data modeling, dimensional modeling, and version-controlled analytics using Git is required.

Full description

About: We are seeking an experienced Analytics Engineer to bridge the gap between data engineering and business intelligence, transforming raw data into actionable insights. As a key member of our team, you will be responsible for leading the development of data analytics solutions, collaborating with cross-functional stakeholders, and driving business growth through data-driven decision making.

Requirements: 3+ years of experience with dbt, SQL, and BI tools like Looker or Tableau. Strong data modeling skills and understanding of dimensional modeling. Familiarity with Git and version-controlled analytics.

Responsibilities: Build and maintain dbt models and data marts to ensure data accuracy and relevance, and to facilitate data-driven decision making. Define metrics layer and KPI definitions to align with business objectives and track progress towards key goals.Work with stakeholders to translate business questions into scalable data solutions, fostering a culture of collaboration and driving business growth through data-driven insights.Lead the development of data analytics solutions, collaborating with cross-functional teams to identify opportunities for process improvement and implement data-driven recommendations.Stay up-to-date with industry trends and emerging technologies, applying this knowledge to enhance data analytics capabilities and drive business growth.Provide data-driven insights to inform business decisions, and to drive strategic initiatives that align with company objectives.Develop and maintain effective relationships with stakeholders, communicating complex data insights in a clear and concise manner.Collaborate with data scientists and engineers to integrate machine learning models into data analytics solutions, and to drive business growth through data-driven decision making.Design and implement data governance policies and procedures to ensure data accuracy, security, and compliance.Stay up-to-date with industry trends and emerging technologies, applying this knowledge to enhance data analytics capabilities and drive business growth.

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