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%
$122,504
TOTAL 50%
$130,972
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 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 -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)
Describes the fundamentals of data and business analytics.
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Level 2 Behaviors
(Light Experience)
Applies broad knowledge and best practices to provide data analytics services to clients.
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Level 3 Behaviors
(Moderate Experience)
Communicates and interprets data to provide clarity to non-technical and technical audiences.
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Level 4 Behaviors
(Extensive Experience)
Collaborates with cross-functional teams to produce data analytics key indicators and metrics.
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Level 5 Behaviors
(Mastery)
Designs the conceptual, logical, and physical data models to support the analytic data requirements.
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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)
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 – 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)
Cites examples of prioritization methods used to manage and save time in the workplace.
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Level 2 Behaviors
(Light Experience)
Adheres to schedules to allocate time for specific tasks efficiently.
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Level 3 Behaviors
(Moderate Experience)
Assesses relevance of tasks to prioritize and produce better quality work.
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Level 4 Behaviors
(Extensive Experience)
Creates programs to develop our employees' understanding of time demand and management.
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Level 5 Behaviors
(Mastery)
Builds a system to manage our business's workload and eliminate time-wasting activities.
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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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