Data Consultant - SQL

DATA CONSULTANT – ALL Levels
London - Hybrid

Join our Data, Technology, Automation and Testing (DTAT) Consulting team as a Data Consultant. You will be passionate about data, analytics and applying insights into our leading financial services clients. This is also a great opportunity for a commercially minded and driven individuals to help build out our expanding practice.

To learn more about our Consulting services click here Consulting (deltacapita.com) .

Requirements

Key responsibilities:; You will work with our clients on multiple disciplines and projects supporting across our clients data programmes from strategy through to enhanced analytics and delivery of data programmes.; You’ll be passionate about data and its place at the centre of our client businesses; You’ll have a forward thinking approach to data and analytics but be considerate of the heritage environments some of our tier 1 clients currently have.; You will be excited about shaping and delivering complex data transformation projects from advising on strategy, data’s place in driving decision making such as predictive analytics, machine learning and AI and working across data programmes.; You’ll be excited to utilise proprietary technology such as our ecosystem NLP tooling to solve client problems.; Identify potential business opportunities within existing and new clients. Collaborate with the Sales and Marketing teams and Consulting leadership to develop campaigns, respond to RFPs, and contribute to the growth of DC’s Consulting practice.; Essential Skills & Experience:; Bachelor’s degree; Experience within Financial Services; Project and change management experience and the ability to both shape and deliver data programmes; Managing critical data elements for regulatory reporting (data definition, data lineage, data quality monitoring, data quality incident management); Implementing sound data management practices; Design of enterprise data architecture and enterprise logical data models; Programming languages such as Python, SQL, or Spark; Expertise in data visualisation tools such as Qlik, Power BI (Business Intelligence) or Tableau; Data engineering tools such as Hadoop, Kafka, SQL; Experience of analytics and being able to review and present insights in large data sets formed of complex data, including with software such as Alteryx or DI (Document Intelligence).; Data quality and/or regulation experience on relevant regulations such as GDPR; Client engagement and stakeholder management experience and the ability to form and nurture advisor relationships with clients.; Domain expertise in one or many areas of FS across Investment Banking, Retail Banking, Commercial Banking or Wealth and Asset Management; Desirable Skills & Experience; Strong presentation skills, experience writing successful project proposals; Experience of working in an agile environment; Prior consulting experience