Salary
$110k–$125k
Posted
1mo ago
Source
himalayas
Role Overview
This role focuses on implementation, optimization, troubleshooting, and ensuring the MDM suite delivers high-quality master data across the enterprise. The Technical Analyst will contribute to the design, configuration, development, and implementation of MDM solutions within the product suite.
What You Will Do
Perform hands-on technical tasks such as building and optimizing complex data quality rules, profiling, cleansing, standardization, enrichment, and deduplication processes. Provide technical support for the MDM application(s), including troubleshooting errors, investigating root cause analysis (RCA), resolving production issues, and performing performance tuning.
Why It Might Be a Fit
The ideal candidate will have 4+ years of hands-on experience in business system and technical analysis, with at least 2+ years in a technical analyst or equivalent role. Excellent analytical and problem-solving abilities, strong communication and stakeholder management, and ability to work independently and in agile/cross-functional teams are required.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
- 4+ years of hands-on experience in business system and technical analysis
- 2+ years in a technical analyst or equivalent role
- Experience with data quality tools, profiling, cleansing, match/merge logic, and survivorship rules
- Knowledge of integration patterns (ETL, APIs, web services, real-time/event-driven)
- Familiarity with data governance principles, stewardship workflows, and master data domains
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Disability Insurance
- 401(k) Savings Plan
- Employee Stock Purchase Plan
- Professional Development Program
- Paid Time Off
- Paid Holidays
- Paid Sick Time (in geographies where legally required)
Salary in context
This salary band is in line with typical remote Data & AI roles on RemoteTide (median top end: $125k).
Before you apply
- Confirm data stack maturity (warehouse, transformation, BI tooling)
- Ask whether the role is analyst-leaning or ML/eng-leaning
- Check data quality ownership — who owns the source-of-truth?
Interested in this role?
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