Skills & Competencies for Data Modeling Analyst

Data Modeling Analyst job profile

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JOB SUMMARY for Data Modeling Analyst

Develops data models to meet the needs of the organization's information systems.

JOB RESPONSIBILITIES for Data Modeling Analyst

Manages the flow of information between departments through the use of relational databases. Maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data.

Data Modeling Analyst SALARY RANGE

BASE 50%
$97,699
TOTAL 50%
$101,827
Job Level
P02
Job Code
IT10000518
Education/Degree
Bachelor's Degree
Reports To
Manager

Data Modeling Analyst 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 Data Modeling Analyst skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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15 general skills or competencies (Job family competencies) for Data Modeling Analyst

1 Job Family Competencies – Business Intelligence
Proficiency Level -2
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Lists the basic features of general business intelligence systems and database structure.
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Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
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Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
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Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
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Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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2 Job Family Competencies – Data Analytics
Proficiency Level -2
Skill definition-Applying techniques and processes in examining and evaluating raw data to derive conclusions to support business decision-making.
Level 1 Behaviors
(General Familiarity)
Lists the steps on how to run and develop data analytic models.
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Level 2 Behaviors
(Light Experience)
Identifies opportunities for data analytics process improvement and automation.
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Level 3 Behaviors
(Moderate Experience)
Uses data analytics for all reporting to meet user requirements.
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Level 4 Behaviors
(Extensive Experience)
Performs data quality audits to ensure compliance with custom analytic deliverables.
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Level 5 Behaviors
(Mastery)
Keeps up-to-date on emerging technology trends in data analytics to apply in our organization.
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3 Data Modeling Analyst - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Modeling Analyst
Proficiency Level - 4
5 Competency for - Data Modeling Analyst
Proficiency Level - 5

6 soft skills or competencies (core competencies) for Data Modeling Analyst

1 Core Competencies – Analytical Thinking
Proficiency Level -3
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)
Illustrates logical relationships among diverse entities.
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Level 3 Behaviors
(Moderate Experience)
Investigates analytical thinking tools and incorporates them accordingly.
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Level 4 Behaviors
(Extensive Experience)
Guides others to analyze all factors and parameters that need to be considered.
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Level 5 Behaviors
(Mastery)
Investigates industry trends and adjusts our business's strategy accordingly.
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2 Core Competencies – Time Management
Proficiency Level -2
Skill definition-Managing and setting priorities, goals, and timetables to boost productivity and efficiency in completing tasks.
Level 1 Behaviors
(General Familiarity)
Lists basic planning tools and applications used in tracking and organizing time and tasks visually.
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Level 2 Behaviors
(Light Experience)
Follows an updated calendar to list and complete tasks and assignments according to priority level.
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Level 3 Behaviors
(Moderate Experience)
Utilizes departmental tools and best practices to organize tasks effectively and productively.
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Level 4 Behaviors
(Extensive Experience)
Provides strategic direction to the workforce in managing time to avoid low-value work.
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Level 5 Behaviors
(Mastery)
Leads transformational changes to work plans to drive the proper utilization of time and resources.
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3 Data Modeling Analyst - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Modeling Analyst
Proficiency Level - 4
5 Competency for - Data Modeling Analyst
Proficiency Level - 5

Summary of Data Modeling Analyst skills and competencies

There are 0 hard skills for Data Modeling Analyst.
15 general skills for Data Modeling Analyst, Business Intelligence, Data Analytics, Data Architecture, etc.
6 soft skills for Data Modeling Analyst, Analytical Thinking, Time Management, Initiative, 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 Data Modeling Analyst, he or she needs to be skilled in Analytical Thinking, be proficient in Time Management, and be proficient in Initiative.

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