Designs and supports data warehouse systems, maintenance processes, and projects.
Designs and writes code for ETL data solutions. Plans and executes data warehouse implementations following system requirements and anticipated usage. Performs data extraction, ensures data accuracy, troubleshoots, and resolves bugs during data warehouse operations. Analyzes business intelligence data and designs and generates reports. Understands and utilizes ETL tools like Informatica and programming languages like Python. Acts as liaison between information technology and business units.
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 Programming Specialist II 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)
Describes the basic terminologies used in business intelligence and business analytics processes.
Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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)
Discusses the models and roles of business data analytics.
Level 2 Behaviors
(Light Experience)
Conducts data cleaning process by removing duplicate records to ensure effective data analytics.
Level 3 Behaviors
(Moderate Experience)
Partners with internal and data engineering teams to fully optimize acquisition data sources.
Level 4 Behaviors
(Extensive Experience)
Enhances data collection procedures to build analytic systems.
Level 5 Behaviors
(Mastery)
Develops robust analytics requirements to define algorithms and data sources for stakeholders.
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Describes the market conditions that impact the business.
Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
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)
Asks the right questions to ensure clarity on business goals and requirements.
Level 3 Behaviors
(Moderate Experience)
Decomposes complex issues into several parts and solves them individually.
Level 4 Behaviors
(Extensive Experience)
Determines and prioritizes the sequence of steps for a specific situation.
Level 5 Behaviors
(Mastery)
Evaluates potential risks using extensive industry knowledge when considering new opportunities.
There are 0 hard skills for Data Warehouse Programming Specialist II.
14 general skills for Data Warehouse Programming Specialist II, Business Intelligence, Data Analytics, Data Modeling, etc.
7 soft skills for Data Warehouse Programming Specialist II, Business Acumen, Analytical Thinking, Critical Thinking, 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 Warehouse Programming Specialist II, he or she needs to be proficient in Business Acumen, be skilled in Analytical Thinking, and be proficient in Critical Thinking.
