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Technical Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Business Analyst in Jersey City, NJ, offering a contract of unspecified length. Requires 12+ years of experience in Insurance P&C, data modeling, SQL, Python/Pyspark, and data governance. Proficiency in Agile methodologies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 29, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Stories #Datasets #Agile #Data Management #Jira #PySpark #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Vault #Data Modeling #Data Quality #Python #Business Analysis #SQL (Structured Query Language) #Data Vault #Libraries #Data Governance
Role description
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Job Title: Technical Business Analyst

Location: Jersey City, NJ (onsite)

Type: Contact C2C/W2

Experience: 12+ Years

Domain: Insurance P&C (Property & Casualty) Needed

Job Description:

We are seeking an experienced Technical Business Analyst with a solid understanding of Insurance P&C (Property & Casualty), Data Modeling, Data Vaulting, and Data Governance to join our growing team. In this role, you will help define requirements, assist with data management and modeling, and ensure the governance and quality of the data across various platforms. You will collaborate with both technical and business teams to ensure seamless delivery of data solutions.

Primary Skills:

Business analysis, requirement gathering and elicitation, understanding of ETL, data modeling, and data governance.

Hands-on experience in SQL, Python/Pyspark, and working with large datasets across various systems.

Data Literacy, with a conceptual understanding of Data Modeling, Data Warehousing, Dimensional Modeling, and Data Vaulting.

Experience with the Insurance P&C domain, including a deep understanding of risk and claims data, policy lifecycle, and actuarial data.

Experience with Data Governance, ensuring data quality and consistency across systems.

Experience working with external data vendors and understanding contractual documents, including open-source libraries (e.g., Creative Commons).

Familiarity with RFPs (Request for Proposals), managing delivery, stakeholder management, and coordinating assessments.

Data background with FS (Financial Services) and ESG (Environmental, Social, and Governance) data domain knowledge is a plus.

Proficiency with typical tooling such as Jira, Confluence, and project lifecycle tools.

Solid experience working within an Agile environment, with a focus on user stories, acceptance criteria, and sprint planning.

Advanced MS Office Suite skills, including PowerPoint, Excel, Access, and Visio.