Skills & Competencies for Master Data Management Analyst I

Master Data Management Analyst I job profile

JOB SUMMARY for Master Data Management Analyst I

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

JOB RESPONSIBILITIES for Master Data Management Analyst I

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 I SALARY RANGE

BASE 50%
$63,973
TOTAL 50%
$65,938
Job Level
P01
Job Code
IT10000592
Education/Degree
Bachelor's Degree
Reports To
Manager

Master Data Management Analyst I 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 I skill and competencie below to view definitions.

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

1 Job Family Competencies – Data Architecture
Proficiency Level -2
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)
Lists all the applications, tools, and techniques used in data architecture.
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Level 2 Behaviors
(Light Experience)
Supports the development of the current and target data architectures.
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Level 3 Behaviors
(Moderate Experience)
Works with data modeling and data architecture team to improve the enterprise data landscape.
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Level 4 Behaviors
(Extensive Experience)
Oversees the design of solutions to comply with the data architecture principles and standards.
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Level 5 Behaviors
(Mastery)
Stays abreast with the latest technologies to improve the overall performance of data architects.
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2 Job Family Competencies – Data Governance
Proficiency Level -2
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)
Lists the basic functions and features of data governance tools.
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Level 2 Behaviors
(Light Experience)
Tracks and reports the effectiveness of the data governance program to the management.
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Level 3 Behaviors
(Moderate Experience)
Reviews the application master data to ensure compliance with data governance standards.
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Level 4 Behaviors
(Extensive Experience)
Oversees the mitigation of issues to identify the Enterprise Data Governance audits.
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Level 5 Behaviors
(Mastery)
Promotes organizational change by implementing effective change management for data governance.
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3 Master Data Management Analyst I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Master Data Management Analyst I
Proficiency Level - 4
5 Competency for - Master Data Management Analyst I
Proficiency Level - 5

6 soft skills or competencies (core competencies) for Master Data Management Analyst I

1 Core Competencies – Analytical Thinking
Proficiency Level -2
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)
Lists skills, traits, and characteristics of analytical thinkers.
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Level 2 Behaviors
(Light Experience)
Makes a list of items without order or set of priorities.
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Level 3 Behaviors
(Moderate Experience)
Summarizes historical experience to find probable causes of the problem.
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Level 4 Behaviors
(Extensive Experience)
Leads brainstorming to encourage teammates to create new perspectives.
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Level 5 Behaviors
(Mastery)
Promotes the adoption of business intelligence analysis technology to drive strategic decisions.
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2 Core Competencies – Attention to Detail
Proficiency Level -2
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists the traits of an employee showing great attention to detail.
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Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
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Level 3 Behaviors
(Moderate Experience)
Uses tools to organize and monitor work progress.
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Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
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Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
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3 Master Data Management Analyst I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Master Data Management Analyst I
Proficiency Level - 4
5 Competency for - Master Data Management Analyst I
Proficiency Level - 5

Summary of Master Data Management Analyst I skills and competencies

There are 0 hard skills for Master Data Management Analyst I.
14 general skills for Master Data Management Analyst I, Data Architecture, Data Governance, Data Modeling, etc.
6 soft skills for Master Data Management Analyst I, Analytical Thinking, Attention to Detail, Time Management, etc.
While the list totals 20 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 I, he or she needs to be proficient in Analytical Thinking, be proficient in Attention to Detail, and be proficient in Time Management.

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