Role profile: data collator

Data collators collect and organise information. They clean data and assure the forms of data from a variety of sources, including:

  • primary data
  • survey data
  • administrative data
  • open data

Data collators sharing analysis and important findings. They often work in data collection or multi-disciplinary teams.

Typical role responsibilities

Data collators:

  • collect and gather information from a wide range of sources and systems
  • organise information to ensure easy retrieval and access for analysts within their team
  • quality assure and clean data to ensure it is ready to be analysed
  • read, understand and interpret reports and information
  • highlight and distribute relevant information to team members to ensure they remain informed of the latest developments in their area of interest
  • analyse data using tools and systems, as needed

Skills

There are several important skills that data collators need to be successful in their role.

You must understand data collection methods and how they are used.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘practitioner’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Able to assimilate information from a range of diverse sources.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘practitioner’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Knowledge of data cleansing and standardisation.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘practitioner’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Understanding data sources, data organisation and storage.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘working’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Utilising coding and programming skills for data and analytics.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘working’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Able to identify key issues from data or information received, presenting and sharing as relevant.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘practitioner’ skill level.

Lead data collator

As a senior data collator, you must have a ‘practitioner’ skill level.

Strong verbal and written communication skills.

You will be expected to demonstrate these skills at different levels depending on the seniority of your role.

Associate data collator

As an associate, you must have an ‘awareness’ skill level.

Data collator

As a data collator, you must have a ‘working’ skill level.

Lead data collator

As a senior data collator, you must have an ‘expert’ skill level.

Sample career pathway

The data collator career path shows some of the common entry and exit points for the role. It also shows the typical skill levels needed.

You can enter a data collator role from any profession, including other analytical professions and other digital professions. You can also exit the role to join another profession, including other analytical professions and other digital professions.

The diagram shows a potential career path. It shows that you can enter or leave a role from a wide range of backgrounds and experience levels. For example, you could become a data collator by developing your skills in an associate data collator role. You could continue to move up the levels in the career path by taking on more senior data collator roles. Or you could develop your skills by working in a technical specialist role in an analytical or digital profession. You could also develop the necessary skills by working in a profession agnostic role outside of these professions.

A role that could be done by any person with the relevant skills or experience from any profession.

This could be a ‘badged’ or professional role that is subject to entry requirements and development.

Beyond the lead data collator role, you could go into more senior leadership roles. These roles require broader analytical understanding, and the ability to lead multi-disciplinary teams.