Data Management & Analytics Specialist

Travelers; Hartford (CT); On-site; USD 64,000 - 105,000; Full time

Benefits offered by this job

Health Insurance

401(k) match

Pension Plan

Job summary

Travelers is seeking a Data Analytics professional to leverage ETL, data profiling, and governance capabilities for business and IT initiatives. You will partner with clients to ensure data quality, implement transformation rules, and document data lineage.

The role emphasizes collaborating with stakeholders, supporting data models, and ensuring privacy and security of information across enterprise systems.

Qualifications

• Bachelor's degree or one year of equivalent data and analytics experience.
• Knowledge of ETL/Data Integration tools, one or more Data platforms, and Cloud Computing Technologies.
• Experience with SQL, Teradata, Python, Hive, MicroStrategy, Ab Initio, Messaging, NoSQL.
• Written and verbal communication skills with the ability to collaborate with business partners.
• Ability to foresee challenges and proactively look for ways to create more efficient processes.

Responsibilities

• Participate in managing the availability, usability, integrity, security and privacy of data.
• Assist in implementing processes to assure data quality for business purposes.
• Perform data profiling and analysis and communicate results for data quality processes.
• Meet with business customers to understand and apply data quality requirements and specifications.
• Define data, catalog data, policies, metadata documentation, and data lineage.

Skills

Communication skills

Time management

Relationship building

Collaboration

Problem solving

Education

Bachelor's degree or equivalent data/analytics experience

Tools

SQL

Teradata

Python

Hive

MicroStrategy

Ab Initio

Messaging

NoSQL

Job description

Travelers is seeking a Data Analytics professional to leverage ETL, data profiling, and governance capabilities for business and IT initiatives. You will partner with clients to ensure data quality, implement transformation rules, and document data lineage.

The role emphasizes collaborating with stakeholders, supporting data models, and ensuring privacy and security of information across enterprise systems.