Skills & Competencies for Data Modeling Analyst

Data Modeling Analyst job profile

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%
$97,953
TOTAL 50%
$102,093
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.

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)
Explains the functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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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)
Explains how to interpret data analytics and metrics to drive better business decision-making.
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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)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
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Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
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Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
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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)
Identifies tools that assist analytical thinking.
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Level 2 Behaviors
(Light Experience)
Gathers necessary information from various channels to support decision-making.
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Level 3 Behaviors
(Moderate Experience)
Handles complex issues and provides solutions to improve efficiency and scalability.
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Level 4 Behaviors
(Extensive Experience)
Evaluates the cost, return, risks, and achievements before recommending a solution.
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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)
Explains the importance of time management in driving the overall productivity of our business.
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Level 2 Behaviors
(Light Experience)
Employs the 80-20 rule to avoid perfectionism and minimize time-wasting.
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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)
Manages teams in streamlining work-related tasks to prioritize highest value tasks firsts.
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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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