Data Analyst - Automation

£400 - £500 per day (inside IR35)

London - Onsite 3 days a week

emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions.

We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.

Overview:

As a Automation and Data Analytics Consultant at Emagine, you will play a pivotal role in designing, developing, and implementing analytic and automation solutions tailored to extract, transform, load, analyze, and visualize GMO-related datasets for our investment banking partner. Leveraging a suite of digital tools including Alteryx, PowerBI, Python, and more, you will drive improvements in efficiency, standardization, and scalability while enhancing the end-user experience.

Responsibilities:

• Design, develop, and implement analytic and automation solutions to enhance current processes.

• Develop ETL scripts and processes utilizing Alteryx, SQL, Python, and VBA to extract data from diverse sources.

• Interact with internal Reference Data and Trading systems using native Python libraries, GraphQL, or REST API methodologies.

• Blend and normalize data by implementing business rules and financial controls.

• Create reports and visual dashboards using tools such as Power BI, Tableau, etc.

• Participate in analytics as a service engagements and investigations, understanding enterprise data and collaborator needs.

• Enhance business analysis using digital tools, understanding GMO workflows, processes, controls, and data requirements.

• Deliver updates to key stakeholders and manage meetings with regional and global stakeholders and subject matter experts.

Requirements:

• Strong data analysis skills with excellent oral and written communication abilities.

• 2+ Years relevant financial services experience

• 5+ years of prior experience in data analytics or development capacity.

• Experience with Agile-Scrum methodology for project delivery.

• Prior consulting experience in various client environments is advantageous.

• In-depth understanding of the financial industry, regulations, and best practices, especially in the context of risk management

Our consultants are integral to delivering successful consulting engagements, addressing our clients' most pressing business challenges, and build lasting value in disciplines such as:

• Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction

• Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs

• Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation

Interested?

At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.

If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.

emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin