What are the responsibilities and job description for the Analytics Eng position at Thinking Minds Inc.?
Job Summary
Location: United States
Experience: 5 years in Analytics Engineering
Job Type: Permanent
Thinking Minds' client is looking for an experienced Analytics Engineer to join their Analytics team. The individual will enhance the analytics engineering process, acting as a technical bridge between Data Engineering and Analytics delivery. They will work on building and optimizing the client's analytics architecture and pipelines, ensuring efficient data flow from diverse sources to downstream analytics solutions. This role is crucial for leading high-impact data product initiatives and transforming raw data into reliable, analytics-ready models using dbt, SQL, Python, and Databricks.
Ideal Candidate Should Have
Strong skills in dbt
Proficiency in SQL
Experience with Python
Familiarity with Databricks
Excellent data-wrangling skills
Role Overview
The role involves leading the development of scalable analytics solutions, focusing on transforming data into actionable insights. The candidate will be responsible for establishing a robust analytics architecture and implementing strong engineering practices. They will work closely with data engineering teams to ensure seamless data integration and flow, enabling informed decision-making across the organization.
Key Responsibilities
Develop and optimize analytics pipelines
Transform raw data into analytics-ready models
Collaborate with data engineering teams
Implement scalable architecture
Lead high-impact data product initiatives
Ensure consistent business metrics
Top Skills and Modules
dbt
SQL
Python
Databricks
Data-wrangling skills
Scalable architecture development
Location: United States
Experience: 5 years in Analytics Engineering
Job Type: Permanent
Thinking Minds' client is looking for an experienced Analytics Engineer to join their Analytics team. The individual will enhance the analytics engineering process, acting as a technical bridge between Data Engineering and Analytics delivery. They will work on building and optimizing the client's analytics architecture and pipelines, ensuring efficient data flow from diverse sources to downstream analytics solutions. This role is crucial for leading high-impact data product initiatives and transforming raw data into reliable, analytics-ready models using dbt, SQL, Python, and Databricks.
Ideal Candidate Should Have
Strong skills in dbt
Proficiency in SQL
Experience with Python
Familiarity with Databricks
Excellent data-wrangling skills
Role Overview
The role involves leading the development of scalable analytics solutions, focusing on transforming data into actionable insights. The candidate will be responsible for establishing a robust analytics architecture and implementing strong engineering practices. They will work closely with data engineering teams to ensure seamless data integration and flow, enabling informed decision-making across the organization.
Key Responsibilities
Develop and optimize analytics pipelines
Transform raw data into analytics-ready models
Collaborate with data engineering teams
Implement scalable architecture
Lead high-impact data product initiatives
Ensure consistent business metrics
Top Skills and Modules
dbt
SQL
Python
Databricks
Data-wrangling skills
Scalable architecture development