Data Scientists and Statistical Analysts are becoming increasingly crucial for almost every business sector with Data being the most valuable asset to businesses. They play an important role in the businesses as they can be used to influence strategic decisions and add value to the business. It’s a rapidly evolving field with advancements being made in Big Data, AI and Machine Learning.

Chief Actuary of GeoSpatial Analytics and Modeling
Chief Analytic Officer
Chief Analytics & Algorithms Officer
Chief Analytics Officer
Chief Credit & Analytics Officer
Chief Data and Analytics Officer
Chief Research & Analytics Officer
Chief Scientist, Global Head of Analytics
Chief Scientist, VP of Analytics
Chief Technology Officer, Enterprise Information Management & Analytics
Client Director, Business Analytics
Director – Advanced Analytics
Director – Analytic Science
Director – Analytics Delivery
Director – BI & Analytics
Director – Fraud Analytics & R&D
Director – Predictive Analytics
Director (Analytics and Creative Strategy)
Director (Marketing Analytics)
Director: Digital Analytics
Director of Analytics Strategy, JMP
Director of Marketing Analytics
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Director of Analytic Solutions
Director of Analytics
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Director of Health Analytics
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Advanced Analytics Manager
Advanced Strategic Analytics Manager
Analytics Science Manager
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Analytics Manager
Business Analytics Manager
Business Analytics & Decision Management Strategy Manager
Clinical Analytics Manager
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Data Analytics Manager
Data Science & Analytics Practice
Data Warehousing & Analytics
Database Marketing & Analytics (Marketing)
Digital Marketing Analytics Manager
Group Analytics Manager
Forensic Data Analytics Manager
Marketing Analytics Manager
Predictive Analytics Manager
Reporting/Analytics Manager
Risk & Analytics Manager
Risk and Business Analytics Manager
Statistical Modeling and Analytics Manager
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Web Analytics Manager
Risk Analyst
Quant Analyst
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Data Scientist
Marketing Analyst
Predictive Analytics Manager
Statistician
Statistical Modeller

Statistical Analyst
Senior Statistical Analyst
Lead Statistical Analyst
Analytics Manager
Analytics Lead
Head of Analytics

At entry level, you’d be looking at around £30k-£35k. As you get a couple of years’ experience you’ll be looking at a salary of £40k-£55k. Experienced Statistical Analysts earn >£65k with some cases earning more than £100k depending on sector and management experience.

Fundamental skills: Probability – using techniques like Markov Decision Processes and Bayes Nets | Statistics – being able to analyse variance and test hypotheses | Data Modelling – understanding the structure of datasets, spotting gaps and filling them with data.

Programming skills: Fundamentals – Data Structures, Algorithms, Computer Architecture, b-trees, Sort Algos and Stacks | Software Design – A background in APIs e.g. web APIs and static/dynamic libraries.

Communication skills are also key to explain data related insights and solutions to non-technical audiences.
Problem-solving skills are important to solve complex questions and situations as well as good attention to detail. You need experience with databases and analysis tools like Hadoop, SQL or SAS.

There are a huge range of courses online that you can take to improve your skills in these areas such as; Coursera, Udacity and Kaggle.

A Masters (MSc) or Doctorate (PhD) in a maths, physics, statistics, artificial intelligence (AI), software engineering, engineering or computer science field with technical skills in programming. Statistics and probability are key here as well as demonstrable experience working with large data sets and using machine learning and statistical methods.

Salary: £26k – £35k
What They Do:
Supports data teams by cleaning and preparing datasets, conducting basic statistical tests, and assisting in the creation of reports and visualisations.

Skills Needed:

• Strong Excel and basic statistical functions
• Introductory knowledge of statistical software (R, Python, SPSS)
• Understanding of descriptive statistics and distributions
• Data cleaning and preparation techniques
• Communication and documentation skills

Salary: £35k – £45k
What They Do:
Applies statistical methods to analyse data, identify trends, and support decision-making. Works with stakeholders to interpret results and guide strategy.

Skills Needed:

• Proficiency in statistical programming (R, Python, SAS)
• Regression analysis, hypothesis testing, and sampling techniques
• Data visualisation and reporting tools
• SQL and database querying
• Business acumen and stakeholder engagement

Salary: £45k – £60k
What They Do:
Leads complex statistical projects, develops predictive models, and provides strategic insights. May specialise in areas like healthcare, finance, or marketing analytics.

Skills Needed:

• Advanced statistical modelling (e.g., logistic regression, time-series)
• Machine learning fundamentals
• Experimental design and causal inference
• Mentoring junior analysts
• Collaboration with cross-functional teams

Salary: £60k – £75k
What They Do:
Manages statistical analysis teams and projects, ensures methodological rigor, and aligns analytics with business objectives.

Skills Needed:

• Leadership and project management
• Statistical governance and quality assurance
• Model validation and performance monitoring
• Strategic planning and stakeholder communication
• Experience with large-scale data environments

Salary: £75k – £100k
What They Do:
Oversees the organisation’s statistical strategy, ensures insights drive performance and innovation, and leads the development of advanced analytical capabilities.

Skills Needed:

• Department-level leadership and strategy
• Budgeting and resource allocation
• Enterprise analytics and data strategy
• Executive stakeholder engagement
• Championing statistical literacy and innovation

Salary: £100k – £140k+
What They Do:
Leads enterprise-wide analytics and statistical initiatives, shaping corporate strategy through data-driven insights and rigorous analysis.

Skills Needed:

• Executive leadership and influence
• Building global analytics functions
• Expertise in statistical ethics, compliance, and governance
• Commercial strategy and board-level reporting
• Driving innovation through statistical research