HYDERABAD · FULLTIME

Senior Data Analytics Engineer

ModMed Technologies India Private Lid

Hyderabad · onsite · Posted 42d ago

Sourced from Foundit

Not disclosed4–7 yrsfulltimeHyderabad

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Section · 01

About this role

Job description

As a team member responsible for helping to blend business-critical data needs with technical solutions, the Analytics Engineer role requires acumen in both domains.
Collect business requirements and design highly optimized data models.
Identify performance metrics definition and automation opportunities.
Build trust through data conversion to data stories for internal and external consumption.
Serve as the subject matter expert for the Enterprise Data Model
Design, develop, and extend dbt code to enhance the Enterprise Dimensional Model.
Create and maintain architecture and systems documentation.
Provide cross-team support for CRM and Marketing teams.
Assist with complex data analysis tasks.
Implement the DataOps philosophy in everything you do.
Create enterprise-grade reporting/data visualization solutions.

Skills & Requirements:

Technical knowledge of data systems and curiosity to solve business problems.
Track record with optimal data model development to drive business insights (experience with dbt strongly preferred)
Expert proficiency in at least one leading BI Platform (DOMO, Tableau, Power BI)
Knowledge of programming languages such as Python or R is advantageous.
Experience with cloud platforms such as Azure or AWS is a plus (Databricks strongly preferred)
Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.
Experience with extracting and transforming data from cloud-native sources (Salesforce, NetSuite)
4+ years in the Data space as an analyst, engineer, scientist, or equivalent
2+ years managing/building data visualization solutions.

Sourced from foundit

Section · 02

Skills

cloud servicesdata systemsData AnalyticsPythonPower BiData Visualization

Job description

As a team member responsible for helping to blend business-critical data needs with technical solutions, the Analytics Engineer role requires acumen in both domains.

Collect business requirements and design highly optimized data models.

Identify performance metrics definition and automation opportunities.

Build trust through data conversion to data stories for internal and external consumption.

Serve as the subject matter expert for the Enterprise Data Model

Design, develop, and extend dbt code to enhance the Enterprise Dimensional Model.

Create and maintain architecture and systems documentation.

Provide cross-team support for CRM and Marketing teams.

Assist with complex data analysis tasks.

Implement the DataOps philosophy in everything you do.

Create enterprise-grade reporting/data visualization solutions.

Skills & Requirements:

Technical knowledge of data systems and curiosity to solve business problems.

Track record with optimal data model development to drive business insights (experience with dbt strongly preferred)

Expert proficiency in at least one leading BI Platform (DOMO, Tableau, Power BI)

Knowledge of programming languages such as Python or R is advantageous.

Experience with cloud platforms such as Azure or AWS is a plus (Databricks strongly preferred)

Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.

Experience with extracting and transforming data from cloud-native sources (Salesforce, NetSuite)

4+ years in the Data space as an analyst, engineer, scientist, or equivalent

2+ years managing/building data visualization solutions.