15 general skills or competencies (Job family competencies) for Data Modeling Analyst, Sr.
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 data modeling and reporting concepts applicable to business Intelligence.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
See 4 More Skill Behaviors
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Documents data requirements for projects by working with business users.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Monitors data sources used for analytics to update data and meet quality standards.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
See 4 More Skill Behaviors
8 soft skills or competencies (core competencies) for Data Modeling Analyst, Sr.
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)
Explains the integral role data collection plays when conducting analytical thinking.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Gathers necessary information from various channels to support decision-making.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Examines information or a situation thoroughly and in detail.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Evaluates the cost, return, risks, and achievements before recommending a solution.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Forecasts customers' expectations and formulates strategies to ensure customer satisfaction.
See 4 More Skill Behaviors
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.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Employs the 80-20 rule to avoid perfectionism and minimize time-wasting.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Handles workplace obstacles to maintain focus and manage time efficiently.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Improves processes to organize workloads of teams efficiently.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Keeps current on the latest working models on time management to drive organizational productivity.
See 4 More Skill Behaviors
Summary of Data Modeling Analyst, Sr. skills and competencies
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.