Skip to main content
Job groups and subgroups

Explanation how we get to job (sub)groups in workforce intelligence

Admin avatar
Written by Admin
Updated this week

As outlined in the general methodology, we use information from professional networks as the basis for Workforce Intelligence.

We map the raw job titles from members' profiles to standardized categories, which we call job groups and job subgroups.

Taxonomy of job (sub)groups

We use the following taxonomy for job groups and subgroups:

Job group

Job subgroup

Example roles covered within the group

Manufacturing & Production

Production

Line workers, operators, plant managers

Engineering & Maintenance

Technicians, mechanics, maintenance staff, facility staff, industrial engineers

Quality control

Quality control, health & safety roles, hygiene, food safety

Sourcing, supply chain & logistics

Supply chain management

Demand planning, supply planning, materials planning, inventory management, supply chain management

Logistics & distribution

Warehousing, logistics, transport, storage, fleet, import/export

Sourcing & procurement

Procurement, purchasing, buyers, sourcing, contract management

Sales

Account management

(key) account managers, category development, client managers

Direct sales & business development

Business development, sales, country/segment sales, country managers, regional managers

Sales operations

Sales planning, commercial excellence, aftersales, sales enablement

Marketing

Digital marketing

Digital marketing, social media marketing, content managers, ecommerce

Sales marketing

Trade marketing, customer marketing

Strategic marketing

Brand management, marketing management

PR & Communications

Public relations, events, corporate communication

Research & Development

Product development & innovation

Product management, product development, innovation

Basic and applied research

Laboratory research, new technologies, food science, trials & testing

Corporate and support staff

Corporate strategy & development

Strategy, M&A, corporate development, market intelligence

Finance & accounting

Accounting, controlling, bookkeeping, revenue management, finance

Human resources

Recruitment, payrolling, training & development, talent acquisition, HR

Legal & compliance

Legal counsel, risk, compliance, regulatory affairs, intellectual property

Information technology

Developers, data science, IT administration, cybersecurity, ERP systems

Support staff

Administrative staff, customer support, secretaries, corporate staff without a direct functional mapping (e.g. 'Manager', 'Analyst', 'Assistant')

Lastly, there are two remaining groups:

  • Irrelevant positions: We filter out a limited number of profiles because we know for a fact they are not relevant to the workforce. This mostly concerns people that state they are retired, but still have an active position on the associated company's professional network

  • Unmapped positions: This contains the profiles that we cannot map to a particular job (sub)group. Read more on how we carry out the mappings below.

Mappings

We use keyword mappings to map raw job titles to the job (sub)groups described above. We make use of several types of mappings:

  • Exact matches: A one on one match of the raw job title, e.g. mapping 'Key account manager' to the job group 'Sales' and job subgroup 'Account Management'

  • Start of word matches: Raw job titles that start with a particular keyword, such as 'R&D', meaning we map both 'R&D engineer' and 'R&D manager' to the job group 'Research & Development', job subgroup 'Basic and applied research'

  • Boolean matches: Keywords that occur within the raw job title, such as mappings using the keyword 'Human Resources', meaning we map the raw job titles 'Human Resources Manager - South Africa', 'Human Resources Analyst' and 'Senior Vice President & Head of Human Resources' to job group 'Corporate and support staff', job subgroup 'Human Resources'

Given the sheer variety of raw job titles and the fact that it is based on user-inputted data (i.e. meaning it can contain spelling errors, acronyms that aren't widely used, or even gibberish), not all raw job titles can be mapped. The ones that we can't map based on the steps described above end up in the 'Unmapped' category.

Note that we continuously review and add to our mappings, aiming to provide a picture that is as complete as possible. Feel free to make additional suggestions that we can add to our data cleaning process.

Did this answer your question?