Skills & Competencies for Master Data Management Analyst IV

Master Data Management Analyst IV job profile

JOB SUMMARY for Master Data Management Analyst IV

Creates, implements, and maintains master data management solutions that enable users to optimize system capabilities.

JOB RESPONSIBILITIES for Master Data Management Analyst IV

Uses knowledge of end-to-end data processes to analyze, cleanse, and enrich master data elements, and ensure that data flows efficiently and consistently between users and stakeholders. Provides data governance and ensures data integrity by coordinating data management efforts across the organization. Troubleshoots issues related to master data management and identifies opportunities for improving data management processes.

Master Data Management Analyst IV SALARY RANGE

BASE 50%
$117,468
TOTAL 50%
$125,223
Job Level
P04
Job Code
IT10000525
Education/Degree
Bachelor's Degree
Reports To
Manager

Master Data Management Analyst IV Skills and Competencies List

Proficiency Levels and Behavioural Indicators
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each Master Data Management Analyst IV skill and competencie below to view definitions.

14 general skills or competencies (Job family competencies) for Master Data Management Analyst IV

1 Job Family Competencies – Data Architecture
Proficiency Level -4
Skill definition-Designing, and implementing policies and standards in managing data to meet the need for information across our organization.
Level 1 Behaviors
(General Familiarity)
Explains the components of data architecture, data pipelines, and data streaming.
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Level 2 Behaviors
(Light Experience)
Gathers data definition and data modeling to support the development of data architecture.
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Level 3 Behaviors
(Moderate Experience)
Performs data architecture analysis to improve data flows with our organization's guidelines.
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Level 4 Behaviors
(Extensive Experience)
Integrates data architecture in the development lifecycle to achieve desired business outcomes.
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Level 5 Behaviors
(Mastery)
Develops and implements key components to verify the fidelity and performance of data architecture.
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2 Job Family Competencies – Data Governance
Proficiency Level -3
Skill definition-Collecting processes, roles, and technologies to ensure efficient use of information in our organization to achieve its goals.
Level 1 Behaviors
(General Familiarity)
Discusses the business risks impacting the data governance.
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Level 2 Behaviors
(Light Experience)
Gathers information to support the preparation of management reports related to data governance.
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Level 3 Behaviors
(Moderate Experience)
Implements data governance best practices to maximize the profit of a data-driven organization.
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Level 4 Behaviors
(Extensive Experience)
Drives detailed workflow process to incorporate data governance in the project lifecycle.
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Level 5 Behaviors
(Mastery)
Generates a clear data governance framework to manage data across our business.
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3 Master Data Management Analyst IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Master Data Management Analyst IV
Proficiency Level - 4
5 Competency for - Master Data Management Analyst IV
Proficiency Level - 5

7 soft skills or competencies (core competencies) for Master Data Management Analyst IV

1 Core Competencies – Analytical Thinking
Proficiency Level -4
Skill definition-Gathering, organizing, and analyzing information to identify the root cause of organizational problems and develop alternative solutions accordingly.
Level 1 Behaviors
(General Familiarity)
Explains the integral role data collection plays when conducting analytical thinking.
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Level 2 Behaviors
(Light Experience)
Breaks down a specific project into lists of tasks.
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Level 3 Behaviors
(Moderate Experience)
Examines information or a situation thoroughly and in detail.
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Level 4 Behaviors
(Extensive Experience)
Draws conclusions based upon logic and intuitive judgment.
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Level 5 Behaviors
(Mastery)
Forecasts customers' expectations and formulates strategies to ensure customer satisfaction.
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2 Core Competencies – Attention to Detail
Proficiency Level -4
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Identifies the procedures for making sure that results are mistake-free.
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Level 2 Behaviors
(Light Experience)
Records all appointments on the calendar to easily track daily activities.
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Level 3 Behaviors
(Moderate Experience)
Reviews and analyzes the accuracy of data and details.
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Level 4 Behaviors
(Extensive Experience)
Designs systems to help the team organize and track details and project progress.
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Level 5 Behaviors
(Mastery)
Develops best practices for identifying and correcting errors, oversights, and omissions.
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3 Master Data Management Analyst IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Master Data Management Analyst IV
Proficiency Level - 4
5 Competency for - Master Data Management Analyst IV
Proficiency Level - 5

Summary of Master Data Management Analyst IV skills and competencies

There are 0 hard skills for Master Data Management Analyst IV.
14 general skills for Master Data Management Analyst IV, Data Architecture, Data Governance, Data Modeling, etc.
7 soft skills for Master Data Management Analyst IV, Analytical Thinking, Attention to Detail, Time Management, etc.
While the list totals 21 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Master Data Management Analyst IV, he or she needs to be skilled in Analytical Thinking, be skilled in Attention to Detail, and be skilled in Time Management.

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