Data Modeler

Primary Responsibilities

The Expertise and Skills You Bring

Position Description

Requirements and Analysis

The successful candidate will be responsible for leading data modeling and analysis across different projects. This role requires working autonomously and under consultative direction for achieving organizational strategic data goals. This is a key role in leading the development of high-quality data model, working as part of a team that helps to deliver data as a key asset for the enterprise. You must be comfortable working in a fast paced and highly ambiguous agile environment where there is a focus on timely delivery of data analysis, data models and other data artifacts.

CANDIDATE PROFILE: *Not a Data Engineer*

• Strong communication: this associate will speak to senior managers as well as engineers. Needs to break down their work.
• Data modeling skills focused on the design and structure of data models to represent data relationships and ensure data integrity; creating the blueprint for the data engineers to implement it.
• Data analysis skills.
• Engage with business and technology partners to understand the business requirements, analyze the data gaps, and recommend appropriate solutions.
• Assess objectives, use cases, data requirements and specifications documents created by other analysts.
• Analyze and resolve major data issues that arise during the course of projects or in production environments.
  
  

Data Design

• Define conceptual and logical data models, with strong definitions, to capture organizational data needs across multiple subject areas.
• Build physical design for various types of systems such as operational systems, data warehouses, data lakes and others.
• Actively perform dedicated and targeted data analysis to identify risks for management. Strong coordination with key business partners will be required to obtain data sets and confirm results of the analysis.
• Document database solutions and present solutions to product partners, project teams, Data Engineering team and architecture review boards.
• Passionate about technology and delivering solutions in integrated data environments. Current on event driven processing, and Data API developments.
• Lead and facilitate work sessions with business functions and projects to define requirements, business term definitions and logical data models
• Map Technical terms to Business terms in data catalog tool.
  
  

Technical Leadership

• Provide strategy, data modeling with accountability on work initiative engagements and timeline. Align and ensure consistency to enterprise standards on technology, tools, and procedures.
• Knowledge of and experience with tools, techniques and processes for complex data gathering, analysis and reporting on data for large organizations.
• Find opportunities to use enterprise data models for new projects to minimize work and data duplication
• Strong interest in playing a technical data steward role and partnering across our business to understand and document our data, appropriate data usages and helping Asset Mgmt. derive the maximum value from its data.
  
  

Qualifications

Education and Experience (dependent on level)

• A Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent experience
• 10 years' experience with data design, analysis, and development. Development experience weighted towards PL/SQL and ETL tools.
• Demonstrated experience in the following areas : Database Management Systems, Data API design and implementation, PL/SQL, warehouses, data modeling and data profiling.
  
  

Skills And Knowledge

• Demonstrable experience with SAP Power Designer or similar data modeling tool required.
• Advanced analytical and problem solving skills.
• Advanced understanding of the database development process including analysis, design, coding, testing, problem resolution and planning, and full competency in all relevant coding environments, languages, tools, and platforms
• Outstanding interpersonal skills and strong verbal and written skills to effectively communicate with technical and non-technical associates in the company
• Proven interpersonal skills, including the ability to work across the organization and interact/influence/negotiate optimally at all levels of management and peers.
• Experience in working in data management / governance with an understanding on how data is ingested, stored, and maintained.
• Understanding of principles and standard methodologies around Data Architecture
• Ability to prioritize data analysis initiatives based on business criticality.
• Experience in the financial services industry area a plus
• Knowledge in cryptocurrency area a plus.
  
  

While others say it, we do it: we care. We have great people and we do great work. Just as importantly, we have great relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their role and experiencing a good mix of challenges and opportunities and we're rooting for them along the way, every day. For more, click: https://www.mindteck.com/career/life-at-mindteck.html

Mindteck is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with a disability, or any other trait protected by law.