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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data Mgt Lead Analyst

Job Description

  • Location: Tampa, Florida
  • Type: Contract
  • Job #78913

Our client, a leading financial services company is hiring a Data Mgt Lead Analyst on a long-term contract basis.

Work Location:

Tampa, FL

Summary:

The Data Mgt Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

  • Leads larger projects with broader impact.
  • Strives to ensure data accuracy and timeliness as it relates to data warehouse management in support of the function’s business priorities.
  • Manages day-to-day data production management planning and prioritizes the efforts of the project team.
  • Maintains stability and control of the data warehouse environment by performing daily checks and balances.
  • Manages oversight of data flows between systems, application development, and vendor management.
  • Strives to ensure the quality of the data including managing its upstream data deliveries and downstream quality, by working closely with internal and external data teams. Interfaces with critical technology partners to translate and manage production delivery needs.
  • Prioritizes and schedules work efforts to correctly manage critical delivery deadlines.
  • Serves as a subject matter expert.
  • Reviews multiple areas of analytics across customers and markets
  • Logical and Physical data mapping.
  • Develop a comprehensive data strategy aligning business goals with utilization.
  • Unlock the potential for better insights.
  • API consumption and exposing meta data via API.
  • May lead the work of others.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding the business, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Required Skills:

  • 6-10+ years relevant experience.
  • Experience with Collibra.
  • Prior experience with data dictionary, catalog, tag, Virtual Attributes, Data Concepts etc.
  • Knowledge on data classifications.
  • Prior experience working in a financial services institution.
  • Knowledge of firm’s business groups and related economics.

Education:

  • Bachelor’s/University degree.
  • Master’s degree preferred.
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