Data Analyst at Kforce Inc.

Stamford, CT 06901

About the Job

Kforce has a client in Stamford, CT that is seeking a Data Analyst responsible for working with large data sets to analyze, map, and export customer, product, and inventory data from multiple data sources to a target data repository within the CPQ stack. Their expertise will be crucial in ensuring the accuracy and integrity of data migration, developing data models, and minimizing fallout during the transition process. This role requires a deep understanding of data mapping, data models, and data integration methodologies. Key Responsibilities:

Analyze and map data from various sources, including billing systems (CSG, ICOMS), circuit inventory systems, provisioning systems, and workflow systems
Develop and implement data models to support data migration and integration into the target data store or data storage inventory system
Ensure the accuracy, consistency, and completeness of data by performing thorough data validation and verification
Collaborate with cross-functional teams, including IT, sales, and business analysts, to understand data requirements and business needs
Create and maintain documentation for data mapping, data models, and data migration processes
Identify and resolve data discrepancies and issues during the data migration process
Develop and execute data extraction, transformation, and loading (ETL) processes to ensure seamless data integration
Monitor data migration progress and provide regular updates to project stakeholders
Proactively identify opportunities for process improvements and data quality enhancements

Requirements:

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field
5+ years of experience in data analysis, data mapping, and data migration projects.
Strong knowledge of billing systems (CSG, ICOMS), circuit inventory, provisioning, and workflow systems
Proficiency in data modeling, data integration, and ETL processes
Experience with SQL and other database management tools
Strong analytical skills and attention to detail
Excellent problem-solving and troubleshooting abilities
Effective communication skills with the ability to collaborate with cross-functional teams
Ability to manage multiple tasks and meet deadlines in a fast-paced environment

Preferred Qualifications:

Experience with CPQ systems and implementations
Familiarity with data warehousing concepts and best practices
Knowledge of scripting languages (e.g., Python) for data manipulation and automation
Experience with data visualization tools (e.g., Tableau, Power BI)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.