CRM Data Engineer for Marketing Insights

Kforce Inc

Orlando (FL)

On-site

USD 65,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Medical/dental/vision insurance
HSA/FSA options
401(k) plan
Life insurance & disability coverage
Paid time off for salaried personnel

Job summary

Kforce is hiring a CRM Analyst in Orlando, FL to build and optimize internal digital marketing data infrastructure. The role focuses on managing procedures, schemas, documentation and pipelines to ensure timely and accurate reporting.

It emphasizes training and process improvement with influence on marketing decisions. The candidate will work with data warehouses (Snowflake, BigQuery), SQL, and Python, and will handle analytics data from Google Analytics and ads platforms.

Qualifications

  • Bachelor's degree in quantitative or computer science field.
  • At least 1 year of experience in a related role.
  • Data engineering and architecture in a large warehouse environment.
  • Advanced knowledge of SQL.
  • Basic Python knowledge.
  • Significant experience with data warehouses - Snowflake, BigQuery.
  • Familiarity with Google Analytics/Meta Ads/Google Ads/Microsoft Ads data.
  • Familiarity with setting up and scheduling procedures.

Responsibilities

  • Develop new data infrastructure/custom dimensions/calculated metrics.
  • Maintain current data infrastructure.
  • Collaborate on reporting pipelines to ensure timely and accurate insights.
  • Travel requirements: 0%.

Skills

Self-starter
Time management
MS Office proficiency

Education

Bachelor's degree in quantitative or computer science

Tools

Snowflake
BigQuery
SQL
Python
Google Analytics
Meta Ads
Google Ads
Microsoft Ads

Job description

Kforce is hiring a CRM Analyst in Orlando, FL to build and optimize internal digital marketing data infrastructure. The role focuses on managing procedures, schemas, documentation and pipelines to ensure timely and accurate reporting.

It emphasizes training and process improvement with influence on marketing decisions. The candidate will work with data warehouses (Snowflake, BigQuery), SQL, and Python, and will handle analytics data from Google Analytics and ads platforms.

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