Azure Cloud Analyst - Banking

Harnham; Greater London; Hybrid; GBP 60,000 - 70,000; Full time

Job summary

Join an established bank as an Azure Cloud Analyst on a 6-month contract, with the possibility of extension. This role is pivotal in a large-scale cloud migration project, where you'll collaborate with data experts to deliver insights and support the transition to Azure. You'll engage in building dashboards, cleaning complex datasets, and identifying trends, all within a hybrid work environment. This is a fantastic opportunity for those looking to make a significant impact in the financial services sector while advancing their skills in cloud technologies.

Qualifications

• Experience in cloud migration projects, especially with Azure.
• Strong analytical skills for data cleaning and summarizing.

Responsibilities

• Support Data Engineer in building Azure Cloud infrastructure.
• Create PowerBI dashboards and identify data trends.

Skills

SQL

Data Analysis

Azure

PowerBI

Microsoft Excel

R

Python

Tools

Azure Cloud

PowerBI

Job description

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Building Data and Engineering teams within Financial Services.

6 Month Contract - Possibility of extension

London - Hybrid

The Opportunity

We are looking for an Azure Cloud Analyst, to join an established Bank on an initial 6 Month Contract. This role will be joining the bank as it starts a large scale cloud migration project, where you will be working alongside Data Experts, helping migrate to the cloud for the first time. You will be working in an Azure environment, and delivering data driven insights to internal teams. The ideal person will come from a background in SQL, Data Analysis, and strong in several Azure products, further programming skills in R/Python will be beneficial.

Key Duties:

• Supporting the Data Engineer in the building of Azure Cloud
• Building PowerBI dashboards within Azure Cloud
• Cleaning, wrangling and summarising large and complex data sets
• Identifying trends and communicating insights from data
• Working collaboratively with other data analysts in the team and sharing knowledge
• Building ETLs

Key Skills:

• Experience in producing quantitative reports or business intelligence
• Advanced Microsoft Excel (e.g. pivot tables, lookups, formula functions)
• Good written and verbal communication skills
• High levels and concentration and attention to detail
• Able to identify patterns in data
• Introductory R or Python

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking and Financial Services

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