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%
$64,194
TOTAL 50%
$66,333
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)
Cites examples of best practices used in data architecture.
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Level 2 Behaviors
(Light Experience)
Applies data architecture principles and tools to provide data access across the enterprise.
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Level 3 Behaviors
(Moderate Experience)
Analyzes the performance of distributed data architecture environment using industry-standard tools.
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Level 4 Behaviors
(Extensive Experience)
Delivers advancements in our business's analytical capabilities to transform data architecture.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced tools to improve the performance of data architecture.
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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)
Cites examples of best practices used for data governance implementation.
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Level 2 Behaviors
(Light Experience)
Applies gap analysis to identify inefficiency in the current data governance process.
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Level 3 Behaviors
(Moderate Experience)
Analyzes data to develop insights into the data governance and management activities.
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Level 4 Behaviors
(Extensive Experience)
Approves solutions to address data governance implications in the data lifecycle process.
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Level 5 Behaviors
(Mastery)
Advocates data stewardship groups to deliver on prioritized data governance activities.
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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)
Clarifies the differences between analytical thinking and critical thinking.
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Level 2 Behaviors
(Light Experience)
Analyzes the importance of the problem and determines the key points to solve it.
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Level 3 Behaviors
(Moderate Experience)
Applies various theories, concepts, or analytical tools to analyze complex problems.
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Level 4 Behaviors
(Extensive Experience)
Anticipates and develops comprehensive solutions to reduce potential obstacles, challenges, and risks.
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Level 5 Behaviors
(Mastery)
Champions advanced methodologies and approaches, such as design thinking, for creative problem-solving.
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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)
Cites steps and tips to improve attention to detail in the workplace.
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Level 2 Behaviors
(Light Experience)
Keeps full attention when listening to understand the message.
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Level 3 Behaviors
(Moderate Experience)
Balances between accuracy and efficiency for different tasks or programs.
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Level 4 Behaviors
(Extensive Experience)
Creates and implements quality management processes for our business.
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Level 5 Behaviors
(Mastery)
Defines possible hurdles to projects and creates strategies to deal with them.
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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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