Develops data models to meet the needs of the organization's information systems.
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.
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.
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.
Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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 tools and techniques in business data analytics.
Level 2 Behaviors
(Light Experience)
Supports the existing business technology systems to develop a mature data analytics capability.
Level 3 Behaviors
(Moderate Experience)
Works with data analytics team to ensure data integrity and accuracy on the service.
Level 4 Behaviors
(Extensive Experience)
Performs data quality audits to ensure compliance with custom analytic deliverables.
Level 5 Behaviors
(Mastery)
Shares emerging advancements and technologies in data analytics to our organization.
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.
Level 2 Behaviors
(Light Experience)
Applies appropriate methods to organize and disclose meaningful data patterns.
Level 3 Behaviors
(Moderate Experience)
Creates and interprets causal links among various datasets.
Level 4 Behaviors
(Extensive Experience)
Coaches others on using logic and reasoning to process and organize information.
Level 5 Behaviors
(Mastery)
Establishes critical training and initiatives to foster analytical thinking across our business.
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.
Level 2 Behaviors
(Light Experience)
Applies principles, habits, and skills in organizing schedules to manage time productively.
Level 3 Behaviors
(Moderate Experience)
Demonstrates a willingness to abandon tasks or projects that prove to be of little value to the business.
Level 4 Behaviors
(Extensive Experience)
Develops best techniques and methods to improve time management throughout our business.
Level 5 Behaviors
(Mastery)
Designs tools to efficiently organize and keep track of tasks in progress to boost productivity.
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.
