Data Scientist

BANKS LLOYD S BANKS MARIL

United States

28 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job source

arc.dev

Tech stack

Business Logic Microsoft Azure Big Data Data Governance Data Infrastructure Data Warehousing Monitoring of Systems Python (Programming Language) Power BI SQL Databases Data Streaming Azure Data Factory

+6 more

Pyspark Information Technology Data Lineage Data Analytics Data Management Databricks

Job description

Act as the central data expert and Business Data Steward for the German Mortgages business.
Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.
Deliver portfolio analytics, forecasting, scenario analysis and ad hoc management reports to support strategic initiatives, product enhancements and business growth.
Serve as the key interface between Mortgages and the Business Intelligence team, translating business requirements into data, reporting and dashboard solutions.
Design, develop and maintain Power BI dashboards, reports and monitoring tools, while driving automation and efficiency in reporting processes.
Own and maintain data definitions, business rules, Critical Data Elements (CDEs) and data standards across the Mortgages function.
Ensure consistent use of data, high data quality and adherence to agreed business logic and controlled data sources.
Define and monitor data quality controls, investigate data issues and coordinate corrective actions with data, technology and business stakeholders.
Support projects, change initiatives and continuous improvement activities as the primary contact for data-related topics.
Promote data literacy and a data-driven culture across the Mortgages department.

Requirements

Bachelor’s degree in Business, Information Technology or a related discipline.
Several years of experience in Data Science, Data Analytics, Business Intelligence, Portfolio Analytics or Data Stewardship, ideally within banking, mortgages or financial services.
Strong analytical, problem-solving and stakeholder management skills, with the ability to translate business needs into actionable insights and recommendations.
Advanced experience with Power BI, SQL, Databricks (Python/PySpark) and handling large and complex datasets.
Good understanding of Azure-based data environments, including data warehousing, ELT processes, Databricks, Unity Catalog, cluster configuration and Azure Data Factory (ADF).
Sound knowledge of data governance, data quality management, data lineage, Critical Data Elements (CDEs) and data ownership principles.
Experience working with multiple source systems, complex data flows and cross-functional teams across business, technology and BI functions.
Fluent in spoken and written English.