Job Summary
We are seeking a highly skilled and business savvy Full Stack Data Engineer & Analytics
Developer to join our team. This role blends data analytics backend engineering and frontend
development. The ideal candidate will possess strong analytical expertise full stack
development capabilities and hands-on experience with databases including Postgres and
Snowflake. You will help bridge the gap between raw data scalable systems and actionable
business insights.
Key Responsibilities
Develop maintain and optimize interactive dashboards and reports using Power BI.
Collaborate with cross functional teams to translate business objectives into analytical
and technical solutions.
Extract manipulate and analyze large datasets using SQL (Postgres Snowflake) and
Python.
Build and maintain backend services using Python Flask and SQLAlchemy.
Develop and enhance front-end interfaces using JavaScript React Ag-Grid and CSS.
Identify key trends patterns and anomalies in data to support strategic decision making.
Build and maintain data pipelines and integrations ensuring data integrity performance
and reliability.
Conduct ad-hoc analysis to support operational and strategic initiatives.
Present technical and analytical insights to stakeholders in a clear and compelling
manner.
Stay current with emerging tools frameworks and best practices in analytics and full
stack development.
Required Qualifications
Bachelors degree in business Data Science Computer Science Statistics or related
field.
3 years of experience in data analytics full stack development or similar hybrid roles.
Advanced Power BI skills including DAX data modeling and report optimization.
Proficiency with SQL (joins CTEs subqueries) and experience with Postgres and
Snowflake.
Strong programming skills in Python (pandas NumPy matplotlib seaborn) and
experience with Flask and SQLAlchemy.
Frontend experience using JavaScript React Ag-Grid HTML and CSS.
Ability to communicate complex findings to non-technical stakeholders.
Experience with data warehousing and ETL processes is a plus.
Web development experience (Ajax HTML CSS JavaScript).
Preferred Qualifications
Familiarity with version control tools (e.g. Git).
Exposure to business domains such as finance marketing operations or sales
analytics.
Knowledge of machine learning or predictive modeling.
Bonus points: Experience with PHP ThoughtSpot Sigma Computing.
Job Summary We are seeking a highly skilled and business savvy Full Stack Data Engineer & Analytics Developer to join our team. This role blends data analytics backend engineering and frontend development. The ideal candidate will possess strong analytical expertise full stack development capabiliti...
Job Summary
We are seeking a highly skilled and business savvy Full Stack Data Engineer & Analytics
Developer to join our team. This role blends data analytics backend engineering and frontend
development. The ideal candidate will possess strong analytical expertise full stack
development capabilities and hands-on experience with databases including Postgres and
Snowflake. You will help bridge the gap between raw data scalable systems and actionable
business insights.
Key Responsibilities
Develop maintain and optimize interactive dashboards and reports using Power BI.
Collaborate with cross functional teams to translate business objectives into analytical
and technical solutions.
Extract manipulate and analyze large datasets using SQL (Postgres Snowflake) and
Python.
Build and maintain backend services using Python Flask and SQLAlchemy.
Develop and enhance front-end interfaces using JavaScript React Ag-Grid and CSS.
Identify key trends patterns and anomalies in data to support strategic decision making.
Build and maintain data pipelines and integrations ensuring data integrity performance
and reliability.
Conduct ad-hoc analysis to support operational and strategic initiatives.
Present technical and analytical insights to stakeholders in a clear and compelling
manner.
Stay current with emerging tools frameworks and best practices in analytics and full
stack development.
Required Qualifications
Bachelors degree in business Data Science Computer Science Statistics or related
field.
3 years of experience in data analytics full stack development or similar hybrid roles.
Advanced Power BI skills including DAX data modeling and report optimization.
Proficiency with SQL (joins CTEs subqueries) and experience with Postgres and
Snowflake.
Strong programming skills in Python (pandas NumPy matplotlib seaborn) and
experience with Flask and SQLAlchemy.
Frontend experience using JavaScript React Ag-Grid HTML and CSS.
Ability to communicate complex findings to non-technical stakeholders.
Experience with data warehousing and ETL processes is a plus.
Web development experience (Ajax HTML CSS JavaScript).
Preferred Qualifications
Familiarity with version control tools (e.g. Git).
Exposure to business domains such as finance marketing operations or sales
analytics.
Knowledge of machine learning or predictive modeling.
Bonus points: Experience with PHP ThoughtSpot Sigma Computing.
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