Quantitative analyst Work, Jobs in Didsbury, Gtm (with Salaries)

DATA ANALYSTS
i5 Solutions Europe Limited —Manchester
- Computer Science
- SQL
- Bachelor's degree
MI and Performance Analyst
Employment —Manchester
- Up to £38,000 a year
- Full-time
- Hybrid work
- Communication skills
5d
Underwriting Supervisor
Polifoniastudio —Didsbury
- £66,000 a year
- Team management
- Mentoring
- In-person
Quick apply
5d
Analyst, Capital Allocation
Arrow Global Group —Manchester
- Full-time
- Hybrid work
- Data analysis skills
Quick apply
User Researcher
Naimuri —Manchester
- Full-time
- Hybrid work
- Agile
- Communication skills
- Free parking
- Annual leave
Financial Planning Analyst
DF Capital —Manchester
- Full-time
- Data analysis skills
- Analysis skills
- Bachelor's degree
- Annual leave
- Gym membership
Quick apply
7d
UX Designer
Travel Counsellors —Manchester
- Hybrid work
- AI
Quick apply
Risk Analyst
ASSYSTEM —Warrington
- Full-time
- Hybrid work
Quick apply
4d
Senior Business Analyst
Gousto —Warrington
- Full-time
- Hybrid work
- Master's degree
- Scripting
- AI
Quick apply
Lecturer / Senior Lecturer in Artificial Intelligence for Industry Experts
Manchester Metropolitan University —Manchester
- £41,064 - £61,759 a year
- Full-time
- Doctoral degree
- Computer Science
- University
- Life insurance

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quantitative analyst jobs near didsbury, gtm

DATA ANALYSTS

i5 Solutions Europe Limited
Manchester

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Job details

Qualifications

Power BI
Dashboard visualisation
Computer Science
Stakeholder collaboration
Data quality analysis
SAS
Pivot table analysis
Big data
R
SQL querying
SQL
Power BI data visualisation
Statistical analysis
ETL data integration
Bachelor's degree
Data management
PostgreSQL
Forecasting
Management reporting
Pivot tables

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

Refine Your Search

quantitative analyst jobs in didsbury, gtm

DATA ANALYSTS

MI and Performance Analyst

Underwriting Supervisor

Analyst, Capital Allocation

User Researcher

Financial Planning Analyst

UX Designer

Risk Analyst

Senior Business Analyst

Lecturer / Senior Lecturer in Artificial Intelligence for Industry Experts

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