Statistical Analysis jobs and careers

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
Director of Advanced Analytics
Director of Analytic Consulting, Product/Data Loyalty Analytics
Director of Analytic Solutions
Director of Analytics
Director of Analytics (consultant)
Director of Data Analytics and Advertising Platforms
Director of Digital Analytics and Customer Insight
Director of Health Analytics
Director of Innovation, Big Data Analytics
Director of Product, Analytics
Director of Risk Analytics and Policy
Director of Science & Analytics for Enterprise Marketing Management (EMM)
Director of Web Analytics and Optimization
Advanced Analytics Manager
Advanced Strategic Analytics Manager
Analytics Science Manager
Analytics Strategy Manager
Analytical Services Manager
Analytics Manager
Business Analytics Manager
Business Analytics & Decision Management Strategy Manager
Clinical Analytics Manager
Customer Analytics Manager
Customer Analytics & Pricing Manager
Customer Insights and Business Analytics Manager
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
Strategic Analytics Manager
Web Analytics Manager
Risk Analyst
Quant Analyst
Quantitative Analyst
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 £25k-£30k. As you get a couple of years’ experience you’ll be looking at a salary of £30k-£50k. Experienced Statistical Analysts earn >£60k 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.