quantitative analyst Work, Jobs in manchester, eng (with Salaries)

DATA ANALYSTS
i5 Solutions Europe Limited —Manchester
- Computer Science
- Data analysis skills
- SQL
Senior Specialist, Data Analyst & BI
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Data analysis skills
- Analysis skills
- Bachelor's degree
Data Analyst
Interact Software —Manchester
- Full-time
- Hybrid work
- Salesforce
- SQL
- Presentation skills
- Annual leave
- Gym membership
Quick apply
9d
Associate - Researcher UX
Bally's Interactive LLC —Manchester
- Hybrid work
- Annual leave
- Gym membership
Quick apply
Senior Consultant, AI Engineer, TC, UKI
EY —Manchester
- Azure
- Computer Science
- Master's degree
Senior Software Engineer – AI Discovery Team
On the Beach —Manchester
- Full-time
- Hybrid work
- Mentoring
- APIs
- AI
- Annual leave
- Work from home
Senior Analyst - Credit Risk & Eligibility
M-KOPA —Manchester
- Full-time
- Remote
- SQL
- Machine learning
- Communication skills
Senior UX Designer
interactive investor —Manchester
- From £42,000 a year
- Hybrid work
- Agile
- In-person
- Leadership
- Annual leave
- Employee discount
Quick apply
Financial Modelling Manager
Chetwood Bank —Manchester
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Presentation skills
Quick apply
2d
Credit Risk Manager
Starling —Manchester
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Communication skills
- Annual leave
- Employee discount
Quick apply

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quantitative analyst jobs near manchester, eng

DATA ANALYSTS

i5 Solutions Europe Limited
Manchester

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Job details

Qualifications

Power BI
Business intelligence
Computer Science
SAS
Big data
Spark
R
Data analysis skills
Tableau
SQL
Bachelor's degree
PostgreSQL
Python
MySQL
Hadoop

Full job description

Number of Vacancies – 5

Related Job Titles:

Data Analyst
Business Data Analyst
Statistical Analyst
Insights Analyst
SAS Statistical Programmer
Reporting Analyst
Data Scientist (Entry/Mid-Level)
BI/Data Reporting Specialist
Quantitative Analyst

Overview:
Conducts statistical and data analyses to support reports, publications, and business decisions. Applies advanced statistical programming and biostatistical methods using tools such as R, Python, or SAS. Interprets data to generate actionable insights, improve operational efficiency, and support strategic planning. Identifies trends and innovative findings to inform solution design and product development. Collaborates with teams and stakeholders to translate complex datasets into clear recommendations. Ensures data quality, accuracy, and compliance across all reporting processes.

Job Description:
As a Data Analyst , the role is central to the collection, interpretation, and transformation of data into actionable insights that drive strategic and operational decisions. It involves working across the full analytics lifecycle – from data acquisition and cleansing to modelling, visualisation, and reporting – with a strong focus on statistical analysis, business intelligence, and cross-functional collaboration.

Key Responsibilities:

Conduct statistical analyses and build data models to support reports, publications, and decision-making.
Perform advanced programming and quantitative analysis using tools such as Python, R, or SAS.
Interpret and present data insights through visual dashboards, performance reports, and stakeholder briefings.
Identify trends, correlations, and patterns that inform product development, operational improvements, and strategic initiatives.
Collaborate with business teams to translate complex datasets into practical, actionable recommendations.
Ensure data accuracy, consistency, and compliance in collection, processing, storage, and reporting.
Create automated reporting solutions and maintain dashboards using BI tools (e.g., Power BI, Tableau).
Support data-driven forecasting, KPI measurement, and performance tracking.
Contribute to problem-solving initiatives by applying statistical reasoning and analytical thinking.
Document analytical processes and support user adoption through clear communication and knowledge sharing.

Required Technologies and Tools:

Python, R, or SAS (for statistical programming and modelling)
SQL and relational databases (e.g., MySQL, PostgreSQL)
BI/Data Visualisation tools (e.g., Power BI, Tableau, Looker)
Excel (advanced functions, pivot tables, macros if applicable)
Data cleaning and ETL processes
Optional: Experience with big data platforms (e.g., Hadoop, Spark) or cloud analytics tools

Education & Experience:

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Mathematics, or a related field
5+years’ experience in a data analysis or business intelligence role
Proven ability to interpret, model, and present data insights to technical and non-technical audiences
Experience in applying data insights to drive business improvement, product development, or operational efficiency

Apply Now

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quantitative analyst jobs in manchester, eng

DATA ANALYSTS

Senior Specialist, Data Analyst & BI

Data Analyst

Associate - Researcher UX

Senior Consultant, AI Engineer, TC, UKI

Senior Software Engineer – AI Discovery Team

Senior Analyst - Credit Risk & Eligibility

Senior UX Designer

Financial Modelling Manager

Credit Risk Manager

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