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If you are looking to excel and make a difference, take a closer look at us…
1. Data Extraction, Transformation & Automation
Extract, clean, validate, and reconcile data from multiple source systems, including finance datamarts, GL, product systems, customer-level datasets, and business reports.
Build automated data pipelines and repeatable reporting templates to reduce manual reporting effort.
Support automation of recurring reports such as monthly performance tracking, forecast packs, product P&L, cost reports, and variance.
2. Dashboard & Reporting Development
Develop Power BI / Excel dashboards to provide timely visibility on business performance, product profitability, sales trends, cost movements, and KPI tracking.
Translate business requirements into clear data models, dashboards, and self-service reporting tools.
Ensure dashboards are user-friendly, accurate, and aligned with management reporting needs.
3. Financial & Business Analysis
Support Business Finance teams in analysing revenue, cost, margin, NIM, FTP, fee income, product profitability, and customer segment performance.
Assist in budget, forecast, and scenario modelling by preparing clean datasets and analytical views.
Perform trend analysis, variance analysis, root cause analysis, and business driver analysis to support management decision-making.
4. Product P&L Support
Support development of product-level and account-level P&L reporting by preparing, validating, and reconciling data inputs.
Work with Finance, Business, IT, and vendors to ensure data logic, mapping rules, and reconciliation processes are properly documented.
Assist in identifying data gaps, product ownership issues, and exception handling required for product P&L reporting.
5. Data Governance & Quality Control
Perform data quality checks, reconciliation, and exception reporting to ensure accuracy and consistency of outputs.
Document data definitions, transformation logic, assumptions, and report methodologies.
Maintain a structured repository of reports, data logic, dashboards, and working files.
6. Stakeholder Support
Work closely with Finance Business Partners, Product Managers, Business Heads, IT, Analytics, and external vendors.
Translate business questions into data requirements and analytical outputs.
Provide clear commentary and insight to support management presentations, business reviews, and decision papers.
Requirements:
Education
Degree in Data Science and Business Analytics, Computer Science, or related field.
Experience
6-10 years experience in banking finance, finance systems, or financial data management
Technical Knowledge
Understanding of data warehouse architectures, and database structures
Knowledge of SQL or data querying tools
Familiarity with analytics platforms such as Power BI or Tableau
Project & Vendor Experience
Experience implementing finance data warehouse or finance datamart in banking.
Familiarity with product profitability, FTP allocation, and banking financial data structures.
Job ID: 147666865
Skills:
Hive, Hadoop, Spark, Etl Tools, Tableau, Sql, Python, Looker
Skills:
Data Warehouse, Sql, Fsldm
Skills:
Hadoop, Hql, Data Warehouse, Informatica, Sql, UNIX, Teradata
Skills:
Denodo, Data Modelling, Uat Testing, Test Management, Database Management Systems, Agile, Scrum, Basic Sql, OAS, Feature Store, data platforms infrastructure, DataIku, project management methodologies, analytic tools
Skills:
Azure, Powerapps, Data Modeling, Excel, DataFlow, Etl, Dax, Powerbi, PowerAutomate, DAX studio, Paginated Reports, SAP proficiency, visualizations, Sharepoint, Tabular editor
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