InfiCare Staffing

Technical Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Data Analyst in Boston, MA, on a long-term contract. Requires a Bachelor's degree and 5+ years in data analysis within enterprise environments. Key skills include SQL, Python, data profiling, and experience with Tableau or Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#Data Management #Data Governance #SQL (Structured Query Language) #Data Cleansing #"ETL (Extract #Transform #Load)" #Python #Datasets #BI (Business Intelligence) #Tableau #Data Modeling #Data Lifecycle #Scripting #Microsoft Power BI #API (Application Programming Interface) #Visualization #Data Conversion #Databases #Data Analysis #Data Quality #Migration #Data Profiling #Data Mapping #Computer Science
Role description
Role: Technical Data Analyst Location: Boston, MA Work Mode: Hybrid Onsite Duration: Long Term Contract Job Description: We are seeking a highly analytical and detail-oriented Technical Data Analyst to support enterprise data quality, migration, and integration initiatives. The ideal candidate will have experience assessing, profiling, cleansing, validating, and transforming large datasets while developing reporting and integration solutions to support business and technical teams. Required Qualifications • Bachelor's Degree In Computer Science, Information Systems, Data Analytics, Engineering, Or A Related Field (Or Equivalent Experience). • 5+ Years Of Experience In Data Analysis, Data Quality, Or Data Management Within Enterprise Environments. • Strong Understanding Of Data Governance, Data Quality Principles, And Data Lifecycle Management. Technical Skills • Experience performing data profiling to assess completeness, accuracy, consistency, uniqueness, and validity of enterprise data. • Proven ability to execute data cleansing, standardization, deduplication, and validation activities using established data quality methodologies. • Experience developing and maintaining data mapping documents, data conversion templates, validation templates, reconciliation reports, and data quality scorecards. • Proficiency in writing SQL and scripting (e.g., Python, PowerShell, or similar) to automate data cleansing, transformation, validation, and reconciliation processes. • Experience creating automated validation routines to compare source and target datasets and identify data quality issues. • Strong knowledge of relational databases and data modeling concepts. Reporting & Analytics • Experience developing interactive dashboards and reports using Tableau and/or Microsoft Power BI. • Ability to analyze data quality metrics and communicate findings through executive dashboards and technical reports. • Experience creating KPIs and visualizations to monitor data quality, migration progress, and operational performance. Integration & APIs • Experience working with MuleSoft for API-led integrations and enterprise data exchange.