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)
Explains the functions of existing and emerging data and business intelligence platforms.
Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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)
Documents data requirements for projects by working with business users.
Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
Level 4 Behaviors
(Extensive Experience)
Monitors data sources used for analytics to update data and meet quality standards.
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)
Examines information or a situation thoroughly and in detail.
Level 4 Behaviors
(Extensive Experience)
Evaluates the cost, return, risks, and achievements before recommending a solution.
Level 5 Behaviors
(Mastery)
Forecasts customers' expectations and formulates strategies to ensure customer satisfaction.
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.
Level 2 Behaviors
(Light Experience)
Collects and compiles information in an organized manner to finish tasks efficiently.
Level 3 Behaviors
(Moderate Experience)
Executes work plans to manage workflow and track milestones to completion.
Level 4 Behaviors
(Extensive Experience)
Improves processes to organize workloads of teams efficiently.
Level 5 Behaviors
(Mastery)
Establishes a time management matrix to reprioritize the importance of current and upcoming tasks.
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.
