Data Literacy Assessment
Data skills are now the language of modern business. Discover your data literacy profile with Kubicle’s four personas: Data Citizen, Data Associate, Data Wrangler, and Data Analyst. Identify where you stand today, uncover the skills to grow, and take the next step toward becoming truly data fluent.
Your Data Literacy Profile
Learn about your profile type, and where next to take your learning journey.
Data Citizen
You’re at the early stages of your data literacy journey. You understand that data matters in a modern workplace and can follow guidance to engage with it responsibly.
Associate Analyst
You have a strong foundation and can work independently with data in familiar scenarios. You're becoming confident with tools and starting to transform data into usable formats.
Data Wrangler
You’re a trusted data operator who transforms raw information into structured, usable formats. You enable others to work with data by ensuring accuracy, clarity, and accessibility.
Data Analyst
You’re a data leader - someone who drives decision-making through rigorous analysis, insightful storytelling, and structured mentorship. Your influence shapes how teams use and think about data.
DATA LITERACY ASSESSMENT
Measure Your Data Literacy Skills
Take Kubicle’s Data Literacy Assessment to understand your current capabilities and uncover practical ways to improve. This quick and insightful diagnostic helps you discover your strengths across the four key pillars of data literacy. In just a few minutes, you’ll receive a personalised profile and clear recommendations for your next steps in data upskilling.
Kubicle's Assessment Will Help You
Discover Your Data Profile
Persona 1
Data Citizen
A Data and Digital Citizen understand the underlying concepts and theory associated to digital tools, data and the building of data projects. While data and digital citizens may not be able to lead complex data projects or investigations, they understand the key principles and considerations of data projects, and can contribute to intermediate data project discourse. Building a data or tech citizenship level of understanding allows business leaders to contribute to data and tech discourse without the focus on skills more so associated to project execution.
Persona 2
Data Associate
An Associate Digital Champion & Data Analyst is at the beginning of their digital and data analysis journey and possess a core set of technical and analytical skills focused on no-code tools and basic data theory. Technically, Digital and Data Associates need to be proficient in spreadsheet and presentation technologies for tasks such as data manipulation, analysis, visualization, and presenting insights. They should have a basic understanding of database concepts and be capable of performing simple data queries. Their toolset might also extend to other no-code platforms for data visualization. Analytically, a foundational knowledge of statistics is important, along with the ability to apply critical thinking to solve problems and interpret data within a business context. These capabilities enable Data Associates to effectively transform raw data into actionable insights using accessible tools and methodologies.
Persona 1
Data Wrangler
The Digital and Data Wrangler can execute more complex data projects and is equipped to lead parts of a data project program. With a high level of confidence, they can clean, organise, and transform raw data for analysts to use for further analysis and decision-making. While they have deep capabilities in core data technology, they are also building peripheral, but basic capabilities in other technologies that are more commonly explored by professional analysts.
Persona 2
Data Analyst
A Kubicle Data Analyst is proficient in collecting, organising, and interpreting information to make it useful to a range of businesses and organisations. They not only excel in more complex data analysis skills, but also have a firm understanding of storytelling and championing more complex data projects.The Data Analyst can deep-dive into the advanced techniques and tools at the heart of data analysis and analytics. Focusing on Statistical Analysis and Python Fundamentals, Machine Learning in Python, Data Prep with SQL, and Data Preparation with Alteryx, the analyst will master the art and science of turning complex data into impactful insights and predictions.
SEE WHERE YOU STAND
What the Data Literacy Assessment Measures
Kubicle’s data literacy framework focuses on the four essential skills that every modern professional needs to work confidently with data.
Read Data
Learn how to recognise different types of data, where to find them, and how to evaluate their quality. This includes data access, data culture, and understanding the legal and ethical responsibilities that come with using data.
Work with Data
Build the practical skills to collect, clean, store, and manage data. This pillar covers everything from using spreadsheets and tools to managing datasets securely and following internal data policies.
Argue with Data
Develop the ability to explain data insights clearly and persuasively. You will be assessed on how well you communicate with visuals, create simple data stories, and adapt your message to different audiences.
Analyze Data
Learn how to use analytical techniques to interpret data and make decisions. This includes applying basic statistics, building models, and solving real business problems with data.
Transform with Data
Fast. Simple. Personal.
