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 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)
Explains how to interpret data analytics and metrics to drive better business decision-making.
Level 2 Behaviors
(Light Experience)
Identifies opportunities for data analytics process improvement and automation.
Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
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.
Level 2 Behaviors
(Light Experience)
Gathers necessary information from various channels to support decision-making.
Level 3 Behaviors
(Moderate Experience)
Handles complex issues and provides solutions to improve efficiency and scalability.
Level 4 Behaviors
(Extensive Experience)
Evaluates the cost, return, risks, and achievements before recommending a solution.
Level 5 Behaviors
(Mastery)
Investigates industry trends and adjusts our business's strategy accordingly.
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.
Level 2 Behaviors
(Light Experience)
Employs the 80-20 rule to avoid perfectionism and minimize time-wasting.
Level 3 Behaviors
(Moderate Experience)
Utilizes departmental tools and best practices to organize tasks effectively and productively.
Level 4 Behaviors
(Extensive Experience)
Manages teams in streamlining work-related tasks to prioritize highest value tasks firsts.
Level 5 Behaviors
(Mastery)
Leads transformational changes to work plans to drive the proper utilization of time and resources.
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.
