Ellevation
Education
DataImplementationSpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Implementation Specialist at Ellevation. Skills: Data Implementation, SQL, Python. Implement data solutions. Develop and maintain ETL processes”
Industry & Context.
Troubleshoot data issues
What They're Looking For.
Must Have
Bachelor's degree, 3+ years experience, SQL proficiency
Nice to Have
Master's degree preferred, Experience with data warehousing concepts preferred, Experience with data visualization tools preferred, Experience with ETL processes preferred, Experience with cloud platforms preferred
What You'll Do.
Implement data solutions
Develop and maintain ETL processes
Build and optimize data models
Create and maintain data visualizations
Collaborate with stakeholders
Troubleshoot data issues
Document data processes
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
## Description The Data Acquisition Specialist is a core member of Ellevation’s Data Integration team, responsible for configuring and maintaining reliable data connections from district Student Information Systems (SIS), assessment vendors, and other sources. You work directly with district partners via calls and screen shares to build data extracts that power Ellevation’s products — and you take ownership of that work from setup through ongoing monitoring. You bring a general working knowledge of SIS platforms and are growing your expertise across the K–12 data ecosystem. You’re someone who takes responsibility for your tasks with little day-to-day oversight, escalates thoughtfully when surprises arise, and consistently delivers high-quality outputs. You build collaborative relationships with teammates and show up with a service-oriented mindset for the districts you support. ## What you'll do Partner collaboration & data onboarding Partner with district teams via calls and screen shares to configure data extracts from SIS platforms (e.g., student demographics, staff, schedules, assessment results). Configure data connections with vendor partners, including SSO setup for new partners. Communicate data issues clearly to district contacts, asking the right questions to gather the information needed to resolve them. Guide partners through the data sourcing process, helping them understand what’s needed and why. Data quality & validation Confirm that data extracts meet quality standards before handoff to the Partner Success Team, validating file headers, record counts, and that important values are not missing. Conduct basic data analysis on incoming data to identify issues early. Use team-defined processes for raising questions and issues (e.g., Slack channels, team meetings, Jira). Monitoring & support Monitor incoming data jobs to proactively diagnose and respond to failures. Respond to Jira tickets, taking a first attempt at diagnosing issues before escalating. Es
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