Performance review phrases – Analytical skills

Applying analytical skills is required to solve different kinds of difficult problems in the most efficient way.


  1. Valerie always conducts a deep analysis of an issue to find the best solution to it.
  2. Arthur develops highly efficient solutions using his strong analytical skills.
  3. Jennifer has a creative eye that helps her spot nuances in the data missed by other employees.
  4. Tabitha consistently researches the market to identify new ways to expand the business.
  5. Harry is extremely observant and attentive. He never misses even the slightest details.
  6. Portia spends at least several hours a day analyzing promising product ideas.
  7. Abigail makes some of the most useful comments and suggestions at roundtables discussions.
  8. Lionel takes every single nuance of a problem into consideration when solving it
  9. Oliver comes up with multiple solutions to every problem and quickly identifies which one is the best.
  10. Gregory identifies and thoroughly inspects every aspect of an issue in order to solve it.

Exceeds Requirements/More than Satisfactory:

  1. Stacy understands how to find the root cause of a complex problem through data analysis.
  2. Michael never lets emotions influence his decisions. He prefers to use verified and analyzed data instead.
  3. Yvette is a talented orator who is able to cogently share her analysis with colleagues and stakeholders.
  4. Elizabeth can quickly read through large volumes of data without missing a single detail.
  5. Nigel thinks quickly and creatively, which makes him a good idea creator.
  6. Gwen strives to work out every problem using facts and logic only.
  7. Robert runs data through checks and deeply analyses it before making decisions.
  8. Luke works equally well with numbers and graphical information, which makes him a highly efficient data researcher.
  9. Rachel has a good memory, which helps her analyze data more efficiently.
  10. George prefers to weigh all the information he can get before making the final decision.

Meets Expectations/Satisfactory:

  1. Jerry usually conducts a data assessment when choosing the right way to deal with an issue.
  2. Bernard generates decent ideas and analyzes other people’s opinions at roundtables.
  3. Edward always breaks down data to examine it more efficiently.
  4. Christopher assesses the costs and risks of every project before approving it.
  5. Olivia is not shy to ask many questions in order to gather enough data for analysis.
  6. Tamara is striving to learn new ways of analyzing information. She wants to become a better problem-solver.
  7. Elaine makes good use of analytical software to evaluate data.
  8. Elizabeth trains her analytical skills on a regular basis thanks to courses and seminars.
  9. Charlie never makes baseless assumptions when discussing problems.
  10. Marta carefully reviews all the existing solutions before wasting time on developing the new ones.

Provisional/Needs Improvement:

  1. Layla poorly understands numbers, which makes her useless for financial analysis.
  2. Sometimes David cannot even find a proper starting point to research an issue.
  3. George cannot properly analyze large volumes of data. He misses too many details.
  4. When analyzing complex problems, Rebecca overlooks small details that might affect the possible solutions.
  5. Angelina works with giant volumes of data instead of breaking them down into manageable pieces.
  6. Victoria does a bad job of collecting and sorting out information. She needs to improve her analytical skills.
  7. Sandra uses poorly thought out strategies instead of investing time in the analysis.
  8. Helen easily loses focus when analyzing large amounts of information.
  9. Jeremy fails to interpret and explain his data analysis to other employees.
  10. Peter spends too much time collecting and reviewing data. He needs to master more effective methods of analysis.


  1. Albert does not check the validity of data before using it.
  2. Quentin hates to explain his thought process behind the solutions he proposes.
  3. Mark has caused significant losses to the company by making poor financial forecasts.
  4. Oliver barely remembers even the most important details of his projects.
  5. Scarlett uses outdated and ineffective data analysis techniques.
  6. Victor refuses to use professional software, which slows down his data analysis process.
  7. Adam approves projects that are destined to fail since he does not assess all the risks in advance.
  8. James wastes a lot of time analyzing irrelevant data that have nothing to do with the issue.
  9. Arnold cannot focus on the data analysis process. He keeps making mistakes that make his researches pointless.
  10. The vast majority of analytical outcomes provided by Daisy turned out to be incorrect.

Self Evaluation Questions:

  1. How many hours per week do you devote to expanding your analytical skills?
  2. What analytical software or online services do you use?
  3. How often do you notice small nuances overlooked by your colleagues?
  4. Do you have a specific system for researching and collecting data?
  5. How quickly can you come up with a backup plan?
  6. Are you able to create budgets for new projects?
  7. How do you tackle unexpected issues that require immediate solving?
  8. Are you good with math and numbers?
  9. What do you do to identify the best sources of information for your research?
  10. How much time do you need for a preliminary analysis of a problem?


The sample of performance review phrases for Analytical skills is a great/helpful tool for periodical/annual job performance appraisal. Note that, an analytical skills review phrases can be positive or negative and your performance review can be effective or bad/poor activity for your staffs.

If no matching phrase is found, you can also see a general list of performance review phrases and choose a more appropriate skill.

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