Analytics Engineer

Kula Example; New York (NY); On-site; USD 95,000 - 135,000; Full time

Job summary

Kula Example in New York is seeking an experienced Analytics Engineer to bridge data engineering and business intelligence, transforming raw data into actionable insights for data-driven decisions.

You will build dbt models, define KPI metrics, and collaborate with stakeholders to scale data solutions. Stay current with trends to enhance analytics capabilities and drive business growth through data-driven recommendations.

Qualifications

• 3+ years of experience with dbt, SQL, and BI tools (Looker or Tableau).
• Strong data modeling and dimensional modeling expertise.
• Familiarity with Git and version-controlled analytics.

Responsibilities

• Build and maintain dbt models and data marts to ensure data accuracy and relevance.
• Define metrics layer and KPI definitions to align with business objectives.
• Translate business questions into scalable data solutions with cross-functional stakeholders.
• Lead the development of data analytics solutions and drive growth through insights.
• Collaborate with teams to integrate machine learning models into analytics workflows.
• Develop data governance policies to ensure data quality, security and compliance.

Skills

dbt

SQL

BI tools

Data modeling

Git

Tools

dbt

Looker

Tableau

Job 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.