BI & Automation Architect
John Wood Group View all jobs
- Gurgaon, Haryana
- Permanent
- Full-time
- Implement and manage Robotic Process Automation (RPA) solutions to automate repetitive tasks and improve operational efficiency.
- Integrate RPA with existing BI tools to enhance data analysis and reporting capabilities.
- Contribute to initiatives to streamline processes through advanced automation techniques.
- Digitalisation and Technology Adoption:
- Assist with the promotion of digitalisation and adoption of automation across GFS, wider Finance community and other functions where appropriate e.g. Supply Chain.
- Stay at the forefront of emerging BI trends and technologies, ensuring the organisation remains competitive.
- BI Dashboard Reporting and Report Development:
- Develop real-time interactive dashboards using Power BI.
- Design and validate comprehensive financial reports to support strategic decision-making.
- Standardisation, Simplification, and Data Management:
- Work under the guidance of the Line Manager to ensure architectural alignment, standards adherence, and consistent solution delivery
- Support the Manager in continuous improvement by identifying technical enhancement opportunities.
- Define and maintain naming conventions and user-friendly explanations to ensure clarity and consistency.
- Implement and monitor robust controls to ensure data integrity and accuracy.
- Advanced Data Analysis and Data Management:
- Analyse and interpret complex data to identify trends and provide actionable insights for business stakeholders.
- Demonstrate a thorough understanding of data management concepts, including Data Lakes, Data Warehouses, and Data Marts.
- Apply knowledge of these concepts to optimise data storage, retrieval, and analysis processes.
- Ensure effective integration of data management solutions to support comprehensive business intelligence and reporting needs.
- Degree educated, preferably in a Finance-related discipline, due to the need for understanding core financial processes.
- Preferred Certifications:
- Automation Anywhere Bot Developer Certification
- MS Power Platform Developer Associate
- MS Fabric Data Engineer Associate
- MS Power BI Data Analyst Associate
- 3-5 years' proven experience architecting and delivering data analytics and automation solutions within complex, global business environments, underpinned by strong finance domain expertise.
- Automation Anywhere RPA Bot development experience and associated accreditation is desirable.
- Deep expertise across the Microsoft BI and Power Platform stack:
- Power BI (advanced modelling, DAX, visualisation)
- Power Automate
- Excel (Power Query, Power Pivot)
- SQL Server Integration Services (SSIS)
- The role requires strong data engineering capabilities within a finance data environment, ideally with hands-on experience of Python and PySpark, along with proven CI/CD practices, to support and scale solutions aligned with the Microsoft Fabric roadmap.
- Strong skills in DAX, SQL and HTML for developing innovative BI solutions and custom visuals.
- Proficient with SharePoint for document and data management.
- Experience with ERP/financial systems and an understanding of finance domain processes.
- Strong knowledge of data modelling, integration patterns, and automation tooling.
- Automation Anywhere RPA Bot development experience and associated accreditation is desirable.
- Deep expertise across the Microsoft BI and Power Platform stack:
- Power BI (advanced modelling, DAX, visualisation)
- Power Automate
- Excel (Power Query, Power Pivot)
- SQL Server Integration Services (SSIS)
- The role requires strong data engineering capabilities within a finance data environment, ideally with hands-on experience of Python and PySpark, along with proven CI/CD practices, to support and scale solutions aligned with the Microsoft Fabric roadmap.
- Strong skills in DAX, SQL and HTML for developing innovative BI solutions and custom visuals.
- Proficient with SharePoint for document and data management.
- Experience with ERP/financial systems and an understanding of finance domain processes.
- Strong knowledge of data modelling, integration patterns, and automation tooling.
- Understanding of data governance concepts and designing solutions that support governance.