2 of 2 Big Data Analyst Jobs in the UK

Data Analyst with Big Data - Canary Wharf Our Client is seeking a Data Analyst for the Data Products team is driving innovations in the Financial Services Sector using Big Data. The Client has a high-calibre, focused and a mission-driven team. The models we build and the analysis that we derive … from financial data matters to crucial cutting-edge business decisions made across the global financial services firms every day and provides insight into real world problems. In this role, you will gain a deep understanding of income and expense transactions, financial classifications, and long term financial management within the UK market. You will participate in customer and partner calls … financial management best practices can be leveraged to deliver financial wellness tools in the UK market. This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact More ❯

London, England, United Kingdom Software and Services Description Dive deep into large-scale data to uncover trends and identify key insightsPartner with data engineers and project managers to conduct data investigation analysisBuild and automate dashboards used to present key insights to partnersCollaborate with researchers and machine learning engineers for building data science and machine learning solutions … such as anomaly detectionFacilitate cross-functional discussion to find out what is the right technical resolution to the business problems Minimum Qualifications 5+ years in an analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis … forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.) Familiarity with modern cloud technologies such as Kubernetes Familiarity with software development lifecycle for data science and engineering Familiarity with commerce, payments More ❯