Data Engineer - Marketing Analytics

InSource, Inc • United State
Remote
Apply
AI Summary

Partner with Marketing, Strategy, and IT stakeholders to improve data usage. Create, manage, and improve data assets, including pipelines, tables, dashboards, and other data products. Help teams make better decisions contributing to the organization’s mission.

Key Highlights
Partner with stakeholders
Create and manage data assets
Improve data usage and governance
Key Responsibilities
Assist with the creation and ongoing management of data tables for use in various data applications.
Collaborate with IT partners to complete data table creation and management work.
Work with Analytics, IT, and Marketing stakeholders to build, optimize, scale, and manage the BI ecosystem.
Manage workspaces, data refresh processes, and dataflow creation.
Improve data processing efficiency including automation where possible.
Technical Skills Required
Databricks dbt SQL Github .yaml files PowerBI Power Platform
Benefits & Perks
100% remote
30 hours/week
9-months extendable contract
Nice to Have
Experience working with Microsoft PowerBI
Experience working with Databricks
Experience working with dbt

Job Description


Analytics Engineer

100% remote - 30 hours/week

9-months extendable contract

***NO VISA/NO 3RD PARTY/NO C2C CANDIDATES PLEASE***


If interested, please send your resume to: asim.ghosh@insourcenow.com


Job Summary

Partner with Marketing, Strategy, and IT stakeholders to improve how the organization uses data. Own the creation, management and improvement of various data assets, including pipelines, tables, dashboards, and other data products. Help raise standards for governance across data platforms and ensure alignment with institutional best practices. Help teams with the data needed to make better decisions contributing to the organization’s mission.


Job Responsibilities

  • Assist with the creation and ongoing management of data tables for use in various data applications.
  • Collaborate with IT partners to complete data table creation and management work.
  • Work with Analytics, IT, and Marketing stakeholders to build, optimize, scale, and manage the BI ecosystem.
  • Collaborate with internal stakeholders and agency or vendor partners to ensure alignment with Marketing Analytics perspectives.
  • Champion a hybrid Service and Self-Service analytics model within Marketing and Communication.
  • Educate peers while building analytics solutions to support self-service capabilities.
  • Manage workspaces, data refresh processes, and dataflow creation.
  • Improve data processing efficiency including automation where possible.
  • Improve taxonomy, processes, and technical infrastructure that support organizational data work.
  • Ensure alignment with institutional standards and governance best practices.


QUALIFICATIONS

  • Strong experience working with Databricks (as a Data Warehouse/Lakehouse solution) and using dbt within it (to build pipelines and tables) is required.
  • High proficiency working with SQL, Github, and .yaml files is required. Deep familiarity with SQL and various downstream data applications including business intelligence tools is needed.
  • 3+ years working in Analytics, Data Engineering, or a similar field is required.
  • Experience working with Marketing data is highly desired.
  • Ability to understand the context of data and apply it to inform business analysis.
  • Ability to clearly and concisely communicate – through messaging, documentation, and live speaking – is critical.
  • Experience with PowerBI and its related ecosystem (Power Platform) is highly preferred.
  • Additional coding experience which could be a value-add to a marketing organization is a plus.


Preferred Skills & Experience

  • Experience working with Microsoft PowerBI, Databricks, dbt.
  • Marketing experience.
  • Working knowledge of common marketing data types including web or mobile analytics such as Google Analytics and Heap.
  • Working knowledge of advertising analytics platforms including Google Marketing Platform, Meta, and The Trade Desk.
  • Working knowledge of phone tracking platforms such as Invoca.


Similar Jobs

Explore other opportunities that match your interests

Regional Staffing Manager

Data Science
•
2h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

US Foods

United State

Senior Data Engineer

Data Science
•
17h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

Insight Global

United State

Senior Data Scientist

Data Science
•
17h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

adelaide

United State

Subscribe our newsletter

New Things Will Always Update Regularly