Table 1Transition record

monitoring and evaluation officertodata 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.

From monitoring and evaluation officer

17%

Overlap1

To data analyst

11 Skills carried over

30 Required, not held

87.8 Difficulty2

Career overlap Distant match

17%

Learning distance A rebuild

87.8/ 100

Easy adjacentmoderatesubstantialcareer change Hard

1 Share of the data analyst role’s weighted skill requirement already met by the monitoring and evaluation officer profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Why

Why this move works

A data analyst role treats 6 of its required skills as things a monitoring and evaluation officer already does. These are the ones it depends on most.

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

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.

Skill the target role also needs Area

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

Table 3 · What you would need to learn

The 56 missing skills fall into 11 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 information and communication technologies (icts) 10 required, 14 supplementary

required, not held data mining required
required, not held data models required
required, not held information extraction required
required, not held information structure required
required, not held query languages required
required, not held resource description framework query language required
required, not held unstructured data required
required, not held data engineering required
required, not held data science required
required, not held 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

02 working with computers 6 required, 2 supplementary

required, not held digital data processing required
required, not held establish data processes required
required, not held integrate ICT data required
required, not held normalise data required
required, not held perform data mining required
required, not held use data processing techniques required

optional, not held store digital data and systems optional
optional, not held use spreadsheets software optional

03 information skills 5 required, 2 supplementary

required, not held analyse big data required
required, not held collect ICT data required
required, not held execute analytical mathematical calculations required
required, not held handle data samples required
required, not held interpret current data required

optional, not held manage cloud data and storage optional
optional, not held make data-driven decisions optional

04 natural sciences, mathematics and statistics 2 required, 2 supplementary

required, not held business analytics required
required, not held statistics required

optional, not held statistical modeling techniques optional
optional, not held game theory optional

05 business, administration and law 2 required, 1 supplementary

required, not held data quality assessment required
required, not held business intelligence required

optional, not held marketing analytics optional

06 social sciences, journalism and information 2 required, 1 supplementary

required, not held documentation types required
required, not held information categorisation required

optional, not held social network analysis optional

5 further areas in the appendix

Table 4

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

Appendix · The rest of the record

All 11 skills that carry over

Skill Type

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

Skill to acquire Tier

07 arts and humanities 2 required

required, not held visual presentation techniques required
required, not held data ethics required

08 management skills 1 required

required, not held define data quality criteria required

09 generic programmes and qualifications 2 supplementary

optional, not held multidisciplinary research optional
optional, not held research design optional

10 communication, collaboration and creativity 1 supplementary

optional, not held deliver visual presentation of data optional

11 health and welfare 1 supplementary

optional, not held healthcare analytics optional

26 supplementary skills, helpful but not required

Skill to acquire Tier

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

Skill Type

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.

Skill to acquire Tier

required, not held business analytics required
required, not held data mining required
required, not held data models required
required, not held data quality assessment required
required, not held documentation types required
required, not held information categorisation required
required, not held information extraction required
required, not held information structure required
required, not held query languages required
required, not held resource description framework query language required
required, not held unstructured data required
required, not held visual presentation techniques required
required, not held business intelligence required
required, not held data engineering required
required, not held data ethics required
required, not held data science required
required, not held data visualisation software required
required, not held 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

Index

Other moves recorded from monitoring and evaluation officer

Full index of moves from monitoring and evaluation officer

Note

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.