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%
$97,953
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.
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)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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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)
Discusses best practices and concepts in data analytics.
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Level 2 Behaviors
(Light Experience)
Collects data from sources to provide data analysis and insights.
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Level 3 Behaviors
(Moderate Experience)
Makes recommendations based on findings from data analytics to report to potential clients.
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Level 4 Behaviors
(Extensive Experience)
Enhances data collection procedures to build analytic systems.
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Level 5 Behaviors
(Mastery)
Develops new Data Analytics methodologies and procedures to support business in decision making.
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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)
Describes the importance of analytical thinking in the workplace.
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Level 2 Behaviors
(Light Experience)
Applies appropriate methods to organize and disclose meaningful data patterns.
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Level 3 Behaviors
(Moderate Experience)
Decomposes complex issues into several parts and solves them individually.
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Level 4 Behaviors
(Extensive Experience)
Coaches others on using logic and reasoning to process and organize information.
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Level 5 Behaviors
(Mastery)
Establishes critical training and initiatives to foster analytical thinking across our business.
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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)
Describes how to utilize a time management matrix for efficient completion of most important tasks.
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Level 2 Behaviors
(Light Experience)
Applies principles, habits, and skills in organizing schedules to manage time productively.
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Level 3 Behaviors
(Moderate Experience)
Demonstrates a willingness to abandon tasks or projects that prove to be of little value to the business.
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Level 4 Behaviors
(Extensive Experience)
Develops best techniques and methods to improve time management throughout our business.
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Level 5 Behaviors
(Mastery)
Designs tools to efficiently organize and keep track of tasks in progress to boost productivity.
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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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