Skills & Competencies for Data Modeling Analyst, Sr.

Data Modeling Analyst, Sr. job profile

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JOB SUMMARY for Data Modeling Analyst, Sr.

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

JOB RESPONSIBILITIES for Data Modeling Analyst, Sr.

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, Sr. SALARY RANGE

BASE 50%
$122,821
TOTAL 50%
$131,308
Job Level
P03
Job Code
IT10000310
Education/Degree
Bachelor's Degree
Reports To
Manager

Data Modeling Analyst, Sr. 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, Sr. 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, Sr.

1 Job Family Competencies – Business Intelligence
Proficiency Level -3
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 data modeling and reporting concepts applicable to business Intelligence.
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Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
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Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
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Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
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Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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2 Job Family Competencies – Data Analytics
Proficiency Level -3
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 apply data analytics to successful strategies.
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Level 2 Behaviors
(Light Experience)
Conducts data cleaning process by removing duplicate records to ensure effective data analytics.
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Level 3 Behaviors
(Moderate Experience)
Prepares data analytics tool to create visualizations.
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Level 4 Behaviors
(Extensive Experience)
Leads overall data analytics activities of our organization to apply decision-making techniques.
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Level 5 Behaviors
(Mastery)
Establishes best-in-class analytic data to improve performance by discovering patterns in data.
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3 Data Modeling Analyst, Sr. - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Modeling Analyst, Sr.
Proficiency Level - 4
5 Competency for - Data Modeling Analyst, Sr.
Proficiency Level - 5

8 soft skills or competencies (core competencies) for Data Modeling Analyst, Sr.

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)
Explains the integral role data collection plays when conducting analytical thinking.
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Level 2 Behaviors
(Light Experience)
Breaks down a specific project into lists of tasks.
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Level 3 Behaviors
(Moderate Experience)
Develops alternative solutions and compares the pros and cons.
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Level 4 Behaviors
(Extensive Experience)
Draws conclusions based upon logic and intuitive judgment.
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Level 5 Behaviors
(Mastery)
Evaluates potential risks using extensive industry knowledge when considering new opportunities.
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2 Core Competencies – Time Management
Proficiency Level -3
Skill definition-Managing and setting priorities, goals, and timetables to boost productivity and efficiency in completing tasks.
Level 1 Behaviors
(General Familiarity)
Discusses workplace barriers and issues that may affect time management.
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Level 2 Behaviors
(Light Experience)
Collects and compiles information in an organized manner to finish tasks efficiently.
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Level 3 Behaviors
(Moderate Experience)
Executes work plans to manage workflow and track milestones to completion.
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Level 4 Behaviors
(Extensive Experience)
Improves processes to organize workloads of teams efficiently.
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Level 5 Behaviors
(Mastery)
Establishes a time management matrix to reprioritize the importance of current and upcoming tasks.
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3 Data Modeling Analyst, Sr. - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Modeling Analyst, Sr.
Proficiency Level - 4
5 Competency for - Data Modeling Analyst, Sr.
Proficiency Level - 5

Summary of Data Modeling Analyst, Sr. skills and competencies

There are 0 hard skills for Data Modeling Analyst, Sr..
15 general skills for Data Modeling Analyst, Sr., Business Intelligence, Data Analytics, Data Architecture, etc.
8 soft skills for Data Modeling Analyst, Sr., Analytical Thinking, Time Management, Problem Solving, etc.
While the list totals 23 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, Sr., he or she needs to be skilled in Analytical Thinking, be skilled in Time Management, and be proficient in Problem Solving.

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