CRM Analytics Analyst

AppleOne
Orlando, United States of America
30 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 104K

Job location

Remote
Orlando, United States of America

Tech stack

Google AdWords
Data analysis
Google BigQuery
Data Architecture
Information Engineering
Data Infrastructure
Data Integration
Data Systems
Data Warehousing
Google Analytics
Python
SQL Databases
Snowflake
Build Management
Information Technology
Data Pipelines

Job description

We are seeking a highly skilled CRM Analytics Analyst to support and optimize digital marketing data infrastructure. This role will focus on building and maintaining data pipelines, improving data accuracy, and driving efficiency across reporting systems.

This is a great opportunity for someone who is both technically strong and forward-thinking, with a passion for data architecture and process improvement.

What You'll Do Maintain and optimize existing data infrastructure Design and build new data pipelines, custom dimensions, and calculated metrics Manage and enhance data schemas, procedures, and documentation Ensure accuracy, consistency, and timeliness of reporting Identify opportunities to automate and improve data processes Support data integration across digital marketing platforms, Why This Role Fully remote flexibility (local to Orlando required) High-impact role working with modern data infrastructure Opportunity to improve and optimize large-scale data systems

Equal Opportunity Employer / Disabled / Protected Veterans

The Know Your Rights poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf

The pay transparency policy is available here: https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

For temporary assignments lasting 13 weeks or longer, the Company is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Requirements

Do you have experience in Data Architecture Design (Architecture design skills)?, Do you have a Bachelor's degree?, Bachelor's degree in Computer Science, a quantitative field, or related discipline Advanced SQL skills and working knowledge of Python Experience with data warehouses (Snowflake and/or BigQuery) Strong background in data engineering and data architecture Experience building and scheduling data pipelines Familiarity with digital marketing platforms (Google Analytics, Meta Ads, Google Ads, Microsoft Ads) Strong attention to detail and analytical mindset Ability to work independently in a remote environment

Benefits & conditions

3.83.8 out of 5 stars Orlando, FL 32801 Remote $40 - $50 an hour - Contract, Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Paid sick time
  • Work from home

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