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Data Analyst Manchester London and UK Hybrid

Job Title: Data Analyst Manchester London and UK Hybrid
Contract Type: Permanent
Location: Manchester, Greater Manchester
Industry:
Salary: Hybrid, Pension, AL Purchase Scheme
Start Date: ASAP
REF: DAL/DA0007032022_1646643311
Contact Name: David Lee
Contact Email: David.Lee@projectpeople.com
Job Published: 3 months ago

Job Description

Data Analyst

We're looking for data analysts to join a leading organisation with products used by millions.
They are developing new capabilities and going through some exciting changes - data is central to their future, and they seek talented people to join the team transforming the way they use it.

You will be working as part of a diverse, multi-disciplinary team ensuring data management, analytics and data science services are put to great effect supporting their products today and continuously improving them.

If you are looking to work with an organisation with great purpose, people, progression and development opportunities where you can put your data talents to great effect, we'd like to hear from you.

What can you expect to be doing?

  • Designing experiments, testing hypotheses, and building models
  • Conduct advanced data analysis and complex designs algorithm
  • Qualification of where information can be stored or what information, external to the organisation, may be used in support of the use case
  • Identifying and analysing patterns in the volume of data supporting the initiative, the type of data and the speed or sudden variations in data collection
  • Working in partnership with data engineering to ensure that the information used follows the compliance, access management and control policies, and that it meets the qualification and assurance requirements
  • Recommending ongoing improvements to methods and algorithms that lead to findings,including new information
  • Presenting and depicting the reasons for your findings in easy-to-understand terms for the business
  • Communicating and working with business subject matter experts
  • Educating the organisation both from technology and the business perspectives on new approaches such as testing hypotheses and statistical validation of results.
  • Helping the organisation understand the principles and the math behind the process to drive stakeholder buy-in
  • Providing business metrics for the overall project to show improvements, demonstrating the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness
  • Providing on-going tracking and monitoring of performance of decision systems and statistical models

What are we looking for you in you?

  • Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java) and statistical modelling (like Python or R).
  • Bachelor's degree in mathematics, statistics or computer science or related field; Master degree preferred OR similar knowledge gained through relevant experience.
  • Broad relevant quantitative and qualitative research and analytics experience.
  • Knowledge of statistical techniques.
  • The ability to come up with solutions to loosely defined business problems by using pattern detection over potentially large datasets.
  • Experience using machine learning algorithms.
  • Proficiency in the use of statistical packages.
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics,multivariate testing, and optimisation algorithms.
  • Good communication and interpersonal skills.
  • Knowledge of one or more business/functional areas.

Benefits include but are not limited to

  • Excellent career progression - great opportunities for employees to seek new challenges and work in different areas of the organisation.
  • Unrivalled training and development opportunities with an in-house Academy hosting a wide range of internal and external courses and certification, plus dedicated learning time inside your working time

Project People is acting as an Employment Agency in relation to this vacancy.