Senior Data Analytics Engineer

• *Location:**

Noida Sector 62, UP, IN, 201309

• *Salary:**

Nil

• *Division:**

Academic

• *Department:**

Academic Sales Operations

Job Title

• Title: Senior Data Analytics Engineer (GJC 6\)
• Department: Academic, Sales Operations
• Location: Sector \- 62, Noida, India

About the Role

Introduction – the ‘why’

Oxford University Press is looking for a Senior Data Analytics Engineer to play a critical role in enabling high\-quality, trusted, and governed data across our Academic division. This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, working with multiple stakeholders, and building scalable data solutions that drive business decisions.

In this role, you will be the technical expert for Academic data sources and will have the opportunity to shape and maintain certified data workflows that support reporting, analytics, automation, and customer\-facing services. You will work closely with data analysts, data engineers, business stakeholders, and enterprise data teams, giving you exposure to a broad range of business and technical initiatives.

This role offers the chance to work with modern data engineering practices, including ETL processes, data modelling, workflow automation, and programming languages such as SQL, Python, and R. You will also contribute to improving data quality, governance, and accessibility across Academic, while helping drive standardisation and best practices within the wider Data \& Analytics team.

Opportunity – the ‘what’

As the Senior Data Analytics Engineer, you will be responsible for producing clean, accurate, and timely datasets for Academic. You will collaborate with cross\-functional teams to understand business requirements, define analytical and operational objectives, and deliver data solutions that support business needs.

• *Key responsibilities include:**

• Interacting with data analysts and business stakeholders to understand requirements and deliver datasets needed for analysis.
• Collaborating with group data functions to understand OUP’s wider data architecture and roadmap, identifying future opportunities and risks.
• Supporting the Academic Data \& Analytics team in troubleshooting data quality issues and coordinating resolution with relevant stakeholders.
• Driving the rollout of Alteryx Server and managing the server environment on behalf of the team.
• Compiling, maintaining, and governing a suite of approved data workflows.
• Performing data modelling, transformation, and ETL processes across core data sources to support analytics and operational use cases.
• Integrating data from multiple systems into unified datasets using SQL, Python, R, or similar technologies.
• Identifying opportunities to improve processes and streamline data delivery.
• Supporting the Lead Data Analytics Engineer and Principal Data Engineer in standardising the integration of legacy and disparate systems.
• Validating data integrity, identifying anomalies, and implementing quality assurance measures to ensure data accuracy.
• Maintaining thorough documentation of data assets, workflows, and processes.
• Ensuring adherence to data governance standards and best practices.
• Mentoring Data Analytics Engineers on workflow management, tooling standards, and engineering best practices.

Impact of the role

The role is critical in establishing and maintaining core aggregated data sources that enable Academic analytics, reporting, automation, and customer\-facing services. You will help deliver certified and governed data workflows, improve data accessibility and quality, support strategic decision\-making, and strengthen data governance across the Academic division.

• *Success in this role will be demonstrated through:**

• Creation of core aggregated data sources for Academic analysis and automation.
• Delivery of certified data workflows that support governed reporting and analytics.
• Effective management of multiple projects and priorities while meeting agreed timelines.
• Strong collaboration with stakeholders to ensure outputs meet business requirements.
• Clear, accurate, and comprehensive documentation.

About You

Essential Criteria

• Proficiency in SQL and programming languages such as Python and R.
• Strong numerical and analytical skills with experience developing and maintaining complex data structures.
• Proven ability to conduct root cause analysis and troubleshoot data and data\-related processes.
• Strong problem\-solving capability and excellent attention to detail.
• Ability to work collaboratively across cross\-functional teams and manage multiple projects simultaneously.
• Excellent written and verbal communication skills, including the ability to explain complex concepts to non\-technical stakeholders.
• Experience using Git\-based workflows, including branching, pull requests, and code reviews, to manage data pipelines, infrastructure, and transformation logic.

Desirable Criteria

• Experience working with data governance policies and compliance requirements, including GDPR.
• Experience with BI and workflow automation tools such as Alteryx Designer, Alteryx Server, or similar platforms.

Queries

• Please contact aarti.rana@oup.com with any queries relating to this role.

Salary

• Dependent on skills and experience

Please apply on Careers.oup.com.

We are committed to supporting diversity in our workforce, and ensuring an inclusive environment where all individuals can thrive. We seek to employ a workforce representative of the markets that we serve and encourage applications from all.

• *Job Category:**

Technology