Client Data Contribution & Projects Lead

Early Warning Services LLC; Scottsdale (AZ); Hybrid; USD 84,000 - 105,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave Maven Family

More Benefits

Job summary

Early Warning Services LLC is seeking a data-focused professional in Scottsdale with hybrid work options to lead client data contribution projects. You will coordinate scope, requirements, and validation, while ensuring timely delivery and adherence to quality standards.

Ideal candidates bring 2+ years in data analytics or quality, strong communication, and experience with Tableau Prep, SAS, R, Python or related tools. Collaboration with customers and internal teams is key.

Qualifications

• Bachelor-level education or equivalent in business, IT, PM, or data analytics.
• Minimum 2 years in data analytics, data quality, or data management.
• Experience in client-facing or project management roles with strong written and verbal skills.
• Ability to translate technical concepts into business language and manage multiple projects.
• Proficiency with Excel, Word, PowerPoint, and Outlook; background checks required.

Responsibilities

• Lead client data contribution and remediation projects from scope to delivery.
• Coordinate data feeds, validation, testing, and production rollout with customers and teams.
• Monitor project health, provide status updates, and escalate issues as needed.
• Collaborate with analysts, PMs, developers and vendors to ensure data quality.
• Perform audits on data quality and propose remediation strategies.

Skills

Data analytics

Client-facing

Project management

Communication

Organizational skills

Problem solving

Education

Bachelor's degree in Business or IT or Data Analytics

Tools

Tableau Prep

SAS

R

Python

Talend

Informatica

EDC/Axon/IDQ

Job description

Early Warning Services LLC is seeking a data-focused professional in Scottsdale with hybrid work options to lead client data contribution projects. You will coordinate scope, requirements, and validation, while ensuring timely delivery and adherence to quality standards.

Ideal candidates bring 2+ years in data analytics or quality, strong communication, and experience with Tableau Prep, SAS, R, Python or related tools. Collaboration with customers and internal teams is key.