For this role as a Data Analyst I, you should have:
Associate degree, preferably in Computer/Data Science, Data Analytics, Information Technology, or similar field; or equivalent combination of skills and experience
Proficiency in Microsoft Excel for data analysis and manipulation
Data Analyst I at Renaissancelearning-nam
Foundational technical knowledge including basic ETL processes, SQL querying, sFTP servers, and file path navigation (Linux/Mac OS and Windows)
Strong analytic mindset with exceptional attention to detail, critical thinking, and problem-solving skills to diagnose and resolve complex data issues
Collaborative approach with willingness to actively engage across cross-functional teams
Excellent customer support skills with strong interpersonal, verbal, and written communication abilities to effectively interact with customers and internal teams
Growth mindset with curiosity and eagerness to learn new technology and continuously develop technical skills
Experience writing scripts using SQL
Familiarity with tools such as Postman, SFTP clients, and API testing tools
Previous experience in data analysis, integration, or technical support roles
Bonus Points:
Bachelor's degree, preferably in Mathematics, Computer Science, Engineering, or similar field; or equivalent combination of skills and experience.
Product knowledge of Renaissance products, particularly DnA, eduCLIMBER, and FastBridge.
Experience with educational technology or working in K-12 educational environments.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Salary Range: $50,100-$70,300. This range is based on national market data and may vary by location.
#LI-Remote
Benefits for eligible US employees include:
World Class Health Benefits: Medical, Prescription, Dental, Vision, Telehealth
Health Savings and Flexible Spending Accounts
401(k) and Roth 401(k) with company match
Paid Vacation and Sick Time Off
12 Paid Holidays
Parental Leave (20 total weeks with 14 weeks paid) & Milk Stork program
Tuition Reimbursement
Life & Disability Insurance
Well-being and Employee Assistance Programs
Benefits listed apply to eligible U.S. employees in accordance with Renaissance's benefits eligibility criteria. Contractor and other non‑employee roles are not eligible for Renaissance employee benefits.
Equal Opportunity Employer
Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, c
Benefits
Health insuranceDental insuranceVision insurance401(k)Paid time offRemote work optionsFlexible schedulePerformance bonusParental leave
Additional Information
About Renaissance
When you join Renaissance®, you join a global leader in pre-K-12 education technology! Renaissance's solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters-creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide.
Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve.
Job Description
The Data Support team is dedicated to reactive, issue-resolution, and troubleshooting efforts to ensure seamless core data integration between a client's Student Information System and our Products. As a Data Analyst, you will obtain, adjust, and validate data imported from other systems into Renaissance products. As such, part of their work involves working directly with customers to obtain the data we need. They must be detail-oriented and able to spot data problems or inconsistencies and determine proper remediations.
In this role as a Data Analyst I, you will be responsible for:
Manage and troubleshoot data integration : Resolve SIS-to-product integration issues, write and update extract scripts, and configure import processes to ensure seamless data flow.
Perform database operations : Execute updates, merges, deletions, and imports within established parameters while maintaining data integrity.
Ensure data quality : Conduct thorough quality control checks, investigate discrepancies, and resolve data errors resulting from integration failures.
Support customers : Respond to escalated data support cases, provide guidance on ETL processes and data specifications, and delivery clear status updates on issue resolution.
Collaborate effectively : Partner with product, engineering, and cross-functional teams to address complex data integration challenges and business rule requirements.
Renaissancelearning-nam · Remote