Lead Senior Recruiter
Data, Insight & Analytics
View profileThe use of data in marketing is growing. Businesses increasingly seek to harness the vast amounts of data they collect from in-store transactions, online performance, conversions, returns, and more. Digital Analysts work closely with digital and marketing teams to translate this data into actionable, commercial recommendations that can drive sales and increase profit. With so much being online, Digital Analysts are key!
Why consider a career as a Digital Analyst?
A career as a Digital Analyst allows you to apply your analytical skills to real-world commercial challenges. Retail and eCommerce remain the sectors with some of the largest Insight & Analytics teams, offering strong opportunities for growth and development.
Typical Digital Analyst role titles include
Digital Analyst Career progression example
Digital Analyst Salary Benchmarks
We’ve outlined the latest salary benchmarks for Digital Analyst roles in the guides below:
Data, Insight and Analytics Salary Guide
Data, Insight and Analytics Day Rate Guide
Data, Insight and Analytics Within Data Engineering Development Salary Guide
Data, Insight and Analytics Within Data Science Salary Guide
Digital Analyst: Is it right for me? The skills it takes…
The essential skills required to succeed as a Digital Analyst fall into two main categories: marketing expertise and data analysis capabilities.
Marketing Skills: Google Analytics | Adobe Analytics | A/B Testing | Multivariate Testing (MVT) | Attribution Modelling | Customer Segmentation | Conversion Rate Optimisation (CRO) | Personalisation | CRM | Net Promoter Score (NPS) | Customer Behaviour Analysis | Online Trading
Data Skills: SQL | Python | R | SAS | SPSS | FastStats | Tableau | Power BI | Social Listening Tools – Crimson Hexagon | Brandwatch | Sprinklr
What qualifications does it take for a career as a Digital Analyst?
For a data-driven Digital Analyst role, employers typically look for candidates with a strong foundation in quant, technical or analytical disciplines. Degrees in fields such as Mathematics, Statistics, Computer Science, Data Science, Economics, or Engineering are highly useful.
Experience using data analysis tools is particularly valuable – candidates who have worked with SQL, Python, R, or Excel for data manipulation, and visualisation tools like Tableau or Power BI, will stand out. Familiarity with web analytics platforms such as Google Analytics or Adobe Analytics, and exposure to A/B testing or customer journey analysis, are essential for digital-focused roles – certifications in these areas are useful too!
We connect ambitious organisations with their greatest assets, equally ambitious talent.
We don't currently have any Data Analysis jobs available.
Search all jobs“From finding me my current role to helping place two fantastic hires, ADLIB has been a pivotal role in the development of our team here at Bristol. The guys are easy to work with, friendly and most importantly inspire trust. I look forward to working with them in the future.”
Working with a recruitment partner like ADLIB means you’re working with a group of people who get to understand you and match candidates up with your culture and goals. ADLIB worked at a breakneck speed to introduce us to the marketing experts we needed to build our team in a matter of months. With their help we recruited and onboarded a new team much faster than planned and ended up spoilt for choice because of the way they work and market insights.
Average salaries and day rates for roles within data engineering & development.
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Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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