Data Analyst: Wealth Analytics & AI (Hybrid, 6mo FTC)

Rathbones Group Plc; Liverpool; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading wealth management firm is seeking a Data Analyst to join their Data & Analytics division in Liverpool or Glasgow. This 6-month FTC role involves developing strategic data platforms and collaborating with various business units. The ideal candidate will possess advanced knowledge in Snowflake, SQL, Azure or AWS, Power BI, and Python. Responsibilities include data analysis, creating dashboards, and applying AI for predictive modeling. The position offers a hybrid working pattern and competitive benefits.

Benefits

Company pension - 9% non-contributory

Private medical insurance

Life assurance - 8 x salary

Discretionary bonus

Flexible holidays

Study support

Family friendly policies

Season travel ticket loans

Qualifications

• Experience in developing strategic data platforms with strong technical and business skills.
• Ability to analyse data using statistical techniques and communicate findings.
• Experience with data profiling, cleansing, and enrichment.
• Proficient in creating visualizations that effectively communicate insights.

Responsibilities

• Work with data team to develop initiatives supporting business strategy.
• Analyse complex data to improve data quality and system designs.
• Represent the Data office to establish a collaborative culture.
• Develop dashboards and reports using Power BI.
• Automate reports to support senior management and teams.
• Apply AI and machine learning techniques to enhance services.

Skills

Snowflake

SQL

Azure

AWS

Power BI

Python

Data profiling

Data visualisation

Analytical skills

Problem-solving skills

Tools

R

Alteryx

Business Objects

SQL Server

Oracle

NoSQL

Mulesoft

Fivetran

SSIS

Job description

A leading wealth management firm is seeking a Data Analyst to join their Data & Analytics division in Liverpool or Glasgow. This 6-month FTC role involves developing strategic data platforms and collaborating with various business units. The ideal candidate will possess advanced knowledge in Snowflake, SQL, Azure or AWS, Power BI, and Python. Responsibilities include data analysis, creating dashboards, and applying AI for predictive modeling. The position offers a hybrid working pattern and competitive benefits.