Data Pipeline Analyst

Internal Job Title:

Business:

Location:

Job Reference No:

Job Purpose:

To support the provision of key business insights by building and maintaining data pipelines and structures, using programming tools and languages including Python and MS SQL.

Job Context:

Working closely with the Data & Analytics Development Lead and cross-functional teams to ensure a coordinated approach to Business Intelligence delivery. The role involves providing information across multiple businesses for comparative and predictive analysis, highlighting opportunities for business process improvement.

Job Dimensions:

The role is an onsite role, with flexible attendance at our office in Vadodara, India, to support business engagement. There is an occasional need to visit other sites and business partners at their premises to build stakeholder relationships or to attend specific industry events, globally.

Key Accountabilities:

• Capturing requirements and preparing specifications for data pipelines and reporting
• Developing prioritised BI outputs to agreed quality and security standards
• Assisting the Data & Analytics team with technical integration of data sources
• Conducting training and coaching sessions to support business users understanding of data
• Collaborating with the wider business to promote appropriate use of data & analytics tools
• Maintaining operational and customer-facing documentation for support processes and defined project deliverables
• Improving analytics capabilities for BI services in an evergreen ecosystem
• Troubleshooting production issues and coordinating with the wider IT Team to resolve incidents and complete tasks using IT Service Management tools, as part of a cross-functional team

Qualifications, Experience & Skills:

• A bachelor's degree (or equivalent professional qualifications and experience) in a relevant stream
• Effective communication skills in English
• 4 years of experience in data transformation and/or creating data pipelines, including Python
• Good understanding of Microsoft data storage tools such as Azure Blob and Data Lake
• Working knowledge of statistical methods to validate findings, ensure data accuracy and drive data-driven decision making
• Knowledge of Exploratory Data Analysis to identify key insights, potential issues, and areas for further investigation
• Conduct design reviews, propose enhancements, and design best-fit solutions
• Provide Business as Usual support (BAU) and support ad-hoc reporting requirements alongside project work
• Identify process improvement and efficiency opportunities through data analysis and recommend automation or optimisation
• General understanding of a company's value chain and basic manufacturing industry terminology

Good to Have Skills:

• ETL using Data Pipeline tools (e.g., SSIS, Azure Data Factory or similar)
• Microsoft SQL, Dynamics 365 (D365), Microsoft Dataverse
• REST APIs, CI/CD on Azure DevOps
• Data Quality, Data Sensitivity, Near Time and Real Time data processing

Behavioral Competencies:

• Good interpersonal skills to enable process improvement through positive interaction
• Problem-solving mindset with a desire to share knowledge and support others
• Customer-oriented, flexible, and focused on stakeholder satisfaction

Does this sound interesting

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