Performs technical administration duties for the development and maintenance of data warehouses.
Provides technical support and coordination during warehouse design, testing and movement to production. Acts as a liaison between engineers, data architects, programmers, and analysts. Implements and enforces standards and procedures to ensure data is managed consistently and properly integrated within the warehouse. Manipulates and combines data from various sources to enlarge and enhance the data warehouse.
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 Warehouse Administrator, Senior 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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
Skill definition-Creating a visual representation of an information system to illustrate the relationships among data types.
Level 1 Behaviors
(General Familiarity)
Describes the definition and concepts of data modeling.
Level 2 Behaviors
(Light Experience)
Assists in data modeling studies and the development of detailed data models.
Level 3 Behaviors
(Moderate Experience)
Analyzes datasets to develop value-adding business insights and product features.
Level 4 Behaviors
(Extensive Experience)
Collaborates with various teams to lead the data and analytics strategy.
Level 5 Behaviors
(Mastery)
Establishes automation protocols to use data modeling, mapping, and workflow routines.
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Cites steps and tips to improve attention to detail in the workplace.
Level 2 Behaviors
(Light Experience)
Keeps full attention when listening to understand the message.
Level 3 Behaviors
(Moderate Experience)
Balances between accuracy and efficiency for different tasks or programs.
Level 4 Behaviors
(Extensive Experience)
Creates and implements quality management processes for our business.
Level 5 Behaviors
(Mastery)
Defines possible hurdles to projects and creates strategies to deal with them.
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.
Level 2 Behaviors
(Light Experience)
Adheres to schedules to allocate time for specific tasks efficiently.
Level 3 Behaviors
(Moderate Experience)
Assesses relevance of tasks to prioritize and produce better quality work.
Level 4 Behaviors
(Extensive Experience)
Creates programs to develop our employees' understanding of time demand and management.
Level 5 Behaviors
(Mastery)
Builds a system to manage our business's workload and eliminate time-wasting activities.
There are 0 hard skills for Data Warehouse Administrator, Senior.
12 general skills for Data Warehouse Administrator, Senior, Business Intelligence, Data Modeling, Technical Troubleshooting, etc.
7 soft skills for Data Warehouse Administrator, Senior, Attention to Detail, Time Management, Problem Solving, etc.
While the list totals 19 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 Warehouse Administrator, Senior, he or she needs to be skilled in Attention to Detail, be skilled in Time Management, and be proficient in Problem Solving.
