> Markdown version of [/jobs/ext/3789399-technical-data-analyst-boston-ma-rj](https://www.wearedevelopers.com/jobs/ext/3789399-technical-data-analyst-boston-ma-rj). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Data Analyst - Boston, MA - RJ - **Company:** Compu-Vision Consulting Inc. - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $93,600.0 - $114,400.0 - **Contract:** Temporary to permanent - **Skills:** Data Analysis, Customer Data Management, Data Validation, Data Cleansing, Extract Transform Load (ETL), Data Mapping, Data Profiling, Electronic Data Interchange (EDI), JSON, Python (Programming Language), Windows PowerShell, Power BI, Standard Sql, SQL Databases, Systems Integration, Tableau (Software), Technical Data Management Systems, Extensible Markup Language (XML), Scripting, Data Management, Restful APIs, Mulesoft - **Published:** October 16, 2026 - **Apply:** https://www.careerjet.com/jobad/usd5e78240aceb6782f256b837cc8418e0 ## About the Role Bachelor's degree in a relevant field or equivalent experience. 5+ years of data analysis, data quality, or data management experience. Strong SQL and Python, PowerShell, or similar scripting skills. Experience with data modeling, validation, reconciliation, and migration. Proficiency in Tableau and/or Power BI. Knowledge of MuleSoft, REST APIs, JSON, and XML. Salesforce data, ETL, and data quality tools preferred. ## Description Seeking a Technical Data Analyst to support enterprise data quality, migration, transformation, reporting, and integration initiatives. Responsibilities: Perform data profiling, cleansing, standardization, and validation. Develop SQL queries and scripts to automate data quality checks. Create data mapping documents, conversion templates, and reconciliation reports. Build Tableau or Power BI dashboards and data quality scorecards. Support MuleSoft integrations, REST APIs, and data exchange. Identify discrepancies and communicate findings to technical and business teams.