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* Top-Tier Data Analytics Consultant - FS (SQL) - London - £45K

Job Title: * Top-Tier Data Analytics Consultant - FS (SQL) - London - £45K
Contract Type: Permanent
Location: London, London
Salary: £35000 - £45000 per annum
REF: 534860
Contact Name: Peter Tam
Contact Email:
Job Published: over 1 year ago

Job Description

* Top-Tier Data Analytics Consultant - FS (SQL) - London - £45K

We are looking to recruit 2 enthusiastic Data Analysts for a leading international consultancy based in London.

The current team specialises in advising internal and external teams on solutions for such projects as: Risk and Regulatory, Advisory, Fraud Investigations and Corruption.
You will be analysing both financial and customer data, taking initiative to lead data activities within the team.

Ideally you will have a at least 1 years' experience within an MI or data analysis role, financial experience (accounting/ audit) is highly desirable.

Role Description:
- Data analysis on financial/customer data and reporting
- Performing analytics such as customer behaviour segmentation or predictive modelling
- To work in a collaborative manner with colleagues and greater teams

- Technical experience with SQL for database management (advanced) MS SQL Server, Teradata, Oracle etc.)
- Excel, Spotfire and SAS
- Experienced with large volume data sets (extraction, manipulation and representation)
- Financial experience preferred
- Experience in report generation tools as Business Objects and Spotfire (beneficial)
- Excellent analytical, quantitative, problem-solving and critical thinking skills
- Excellent communication and strong business acumen

- To gain exposure working with a global brand, professionalism at its finest and to learn from the very best
- A clear career path and growth potential
- Competitive work-life balance and the ability to make a difference

Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.