Monitoring and evaluation officer to data analyst
A monitoring and evaluation officer already meets 17% of what the data analyst role asks for. The move turns on 30 required skills not yet in the profile.
87.8/ 100
1 How much of what a data analyst is expected to do is already part of a monitoring and evaluation officer’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the data analyst role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data analyst role treats 6 of its required skills as things a monitoring and evaluation officer already does. You would walk in with these on day one.
- apply statistical analysis techniques
- implement data quality processes
- information confidentiality
- manage data
- perform data cleansing
- use databases
What stands in the way is 30 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 11 skills that carry over, these are the ones fewest other occupations ask for. A data analyst role needs them, and most people applying for one will not have them already. This is the part of a monitoring and evaluation officer background worth leading with.
- already held gather data for forensic purposes information skills
- already held implement data quality processes working with computers
- already held perform data cleansing working with computers
- already held create data models information skills
- already held manage data collection systems information skills
- already held manage quantitative data working with computers
All 11 carried skills, including the 6 the data analyst role treats as required.
Table 3 · What you may need to learn
The 56 missing skills fall into 11 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn data mining required
- still to learn data models required
- still to learn information extraction required
- still to learn information structure required
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn unstructured data required
- still to learn data engineering required
- still to learn data science required
- still to learn data visualisation software required
- optional, not held Hadoop optional
- optional, not held LDAP optional
- optional, not held LINQ optional
- optional, not held MDX optional
- optional, not held N1QL optional
- optional, not held SPARQL optional
- optional, not held XQuery optional
- optional, not held cloud technologies optional
- optional, not held data storage optional
- optional, not held information architecture optional
- optional, not held online analytical processing optional
- optional, not held database optional
- optional, not held image recognition optional
- optional, not held web analytics optional
- still to learn digital data processing required
- still to learn establish data processes required
- still to learn integrate ICT data required
- still to learn normalise data required
- still to learn perform data mining required
- still to learn use data processing techniques required
- optional, not held store digital data and systems optional
- optional, not held use spreadsheets software optional
- still to learn analyse big data required
- still to learn collect ICT data required
- still to learn execute analytical mathematical calculations required
- still to learn handle data samples required
- still to learn interpret current data required
- optional, not held manage cloud data and storage optional
- optional, not held make data-driven decisions optional
- still to learn business analytics required
- still to learn statistics required
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- still to learn data quality assessment required
- still to learn business intelligence required
- optional, not held marketing analytics optional
- still to learn documentation types required
- still to learn information categorisation required
- optional, not held social network analysis optional
5 further areas in the appendix
Table 4 · Where to start
The 3 entries a data analyst role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 11 skills that carry over
- already held apply statistical analysis techniques skill
- already held implement data quality processes skill
- already held information confidentiality knowledge
- already held manage data skill
- already held perform data cleansing skill
- already held use databases skill
- already held create data models skill
- already held gather data for forensic purposes skill
- already held manage data collection systems skill
- already held manage quantitative data skill
- already held report analysis results skill
The 5 learning areas not shown above
- still to learn visual presentation techniques required
- still to learn data ethics required
- still to learn define data quality criteria required
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held deliver visual presentation of data optional
- optional, not held healthcare analytics optional
26 supplementary skills, helpful but not required
- optional, not held Hadoop optional
- optional, not held LDAP optional
- optional, not held LINQ optional
- optional, not held MDX optional
- optional, not held N1QL optional
- optional, not held SPARQL optional
- optional, not held XQuery optional
- optional, not held cloud technologies optional
- optional, not held data storage optional
- optional, not held healthcare analytics optional
- optional, not held information architecture optional
- optional, not held manage cloud data and storage optional
- optional, not held online analytical processing optional
- optional, not held statistical modeling techniques optional
- optional, not held database optional
- optional, not held deliver visual presentation of data optional
- optional, not held game theory optional
- optional, not held image recognition optional
- optional, not held make data-driven decisions optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held social network analysis optional
- optional, not held store digital data and systems optional
- optional, not held use spreadsheets software optional
- optional, not held web analytics optional
38 held skills the data analyst role does not ask for
- not needed by the target role adapt evaluation methodology skill
- not needed by the target role apply organisational techniques skill
- not needed by the target role commission evaluation skill
- not needed by the target role communicate with stakeholders skill
- not needed by the target role conduct qualitative research skill
- not needed by the target role conduct quantitative research skill
- not needed by the target role conduct training on monitoring and evaluation frameworks skill
- not needed by the target role create data sets skill
- not needed by the target role data protection knowledge
- not needed by the target role define evaluation objectives and scope skill
- not needed by the target role design questionnaires skill
- not needed by the target role develop communications strategies skill
- not needed by the target role development economics knowledge
- not needed by the target role engage with stakeholders skill
- not needed by the target role ethics knowledge
- not needed by the target role evaluation theory knowledge
- not needed by the target role formulate findings skill
- not needed by the target role international development knowledge
- not needed by the target role interview people skill
- not needed by the target role maintain data entry requirements skill
- not needed by the target role manage project metrics skill
- not needed by the target role manage resources skill
- not needed by the target role monitor recommendation follow-up skill
- not needed by the target role observe confidentiality skill
- not needed by the target role perform data analysis skill
- not needed by the target role plan evaluation skill
- not needed by the target role policy analysis knowledge
- not needed by the target role process qualitative information skill
- not needed by the target role promote evaluation capacity development skill
- not needed by the target role reconstruct program theory skill
- not needed by the target role respect data protection principles skill
- not needed by the target role results-based management knowledge
- not needed by the target role scientific research methodology knowledge
- not needed by the target role survey techniques knowledge
- not needed by the target role sustainable development goals knowledge
- not needed by the target role systems thinking knowledge
- not needed by the target role types of evaluation knowledge
- not needed by the target role use specific data analysis software skill
39 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn business analytics required
- still to learn data mining required
- still to learn data models required
- still to learn data quality assessment required
- still to learn documentation types required
- still to learn information categorisation required
- still to learn information extraction required
- still to learn information structure required
- still to learn query languages required
- still to learn resource description framework query language required
- still to learn unstructured data required
- still to learn visual presentation techniques required
- still to learn business intelligence required
- still to learn data engineering required
- still to learn data ethics required
- still to learn data science required
- still to learn data visualisation software required
- still to learn statistics required
- optional, not held Hadoop optional
- optional, not held LDAP optional
- optional, not held LINQ optional
- optional, not held MDX optional
- optional, not held N1QL optional
- optional, not held SPARQL optional
- optional, not held XQuery optional
- optional, not held cloud technologies optional
- optional, not held data storage optional
- optional, not held healthcare analytics optional
- optional, not held information architecture optional
- optional, not held online analytical processing optional
- optional, not held statistical modeling techniques optional
- optional, not held database optional
- optional, not held game theory optional
- optional, not held image recognition optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held social network analysis optional
- optional, not held web analytics optional
Other moves recorded from monitoring and evaluation officer
Common questions about this move
Can a monitoring and evaluation officer become a data analyst?
Yes, and it is a career change move. A monitoring and evaluation officer already covers 17% of what a data analyst is expected to do: 11 skills carry over, 6 of which the data analyst role treats as required.
What skills does a monitoring and evaluation officer need to become a data analyst?
30 required skills are missing, plus 26 optional ones. They fall into 11 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is business analytics.
How hard is the move from monitoring and evaluation officer to data analyst?
Its learning distance is 87.8 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.