Senior Technical Business Analyst, Data

Job Locations United Kingdom-London | United Kingdom-London


The Economist Group logo

This is an exciting time to join the Data & Insights team at The Economist Group. Under our newly appointed Chief Data Officer we are creating a center of excellence spanning research, analytics and data science partnering with the whole group, including our core subscription business, our Economist Intelligence Unit, Client Solutions and Events business. Our purpose is to better understand and affect the drivers of our business through data analytics and research, with a focus on our users, B2C customers and B2B clients. We are value focused and outcome driven: we help drive growth and agility at every level, whether through informing strategic alignment and decisions, providing quick feedback loops to operators or creating machine learning models to be integrated into our products and marketing communications. 

Reporting to the Head of Data Product Management, with a dotted line into the Head of Data Engineering, the Senior Technical Business Analyst will assess business requirements for data and data insights, data modelling, designing data-driven processes, and supporting the implementation of data solutions in order to improve our data infrastructure and information technology systems. You will also use the analysis to inform the product management process, developing user stories, evaluating their feasibility, defining acceptance criteria and QAing that those are met. And you will facilitate training and coaching for business data consumers.

To ensure success as a Senior Technical Business Analyst for Data, you should demonstrate experience and creativity in data systems design and implementation. Outstanding Technical Business Analysts combine their technology and data architecture expertise with in-depth business knowledge.


How you will contribute:

  • Working closely with Product Managers, Data Architects and development teams to ensure business data requirements are translated into appropriate technical data solutions, acting as a ‘translator’ between business, data and technology
  • Supporting Data Product Managers and data lifecycle management, by fielding business requirements, creating backlog tasks, defining technical minimum acceptance criteria, and quality assuring technical solutions prior to implementation
  • Getting analysis ready for the tech delivery team by performing source data evaluation, data system modelling, data mappings and data flow analysis
  • Supporting Data Architects in designing effective target-state data infrastructure, by modelling data systems and structures and sharing knowledge of operational and analytical data use cases.
  • Designing new data solutions by analysing requirements, constructing workflow charts and diagrams, studying data system capabilities and writing data solution specifications.
  • Providing detailed data mappings between source systems and target data models to the development team, based on business requirements.
  • Promoting data system efficiency and security by recommending enhancements to data operations and proposing data procedure improvements.
  • Understanding, interpreting and documenting business processes along with their underpinning data elements.
  • Defining business rules required to transform data into states that meet data quality and performance standards.
  • Supporting development and test teams with data requirements, and assisting with data integration and acceptance testing.
  • Improving the performance of data systems and data support services by efficiently integrating new data systems and applications with business operations and services, and ensuring end-user proficiency with new data systems and applications across departments.
  • Utilising business and data expertise to facilitate purposeful meetings and collaboration across different lines of business.
  • Maintaining professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, benchmarking state-of-the-art practices and participating in professional societies

Experience, skills and professional attributes

The ideal skills for this role are:

  • Strong experience in technical business analysis in a related industry
  • A Bachelor's Degree in Computer Science or Information Technology, or an accredited qualification is a plus
  • Experience performing analysis in the context of behavioral data and cloud analytics as well as transactional data
  • Working knowledge of data architecture principles (such as data warehousing, data lakes, and ETL) as well as data technologies and languages (such as SQL, Python and R).
  • Proficiency in analytical techniques and notations, such as BPMN and UML.
  • Ability to self-direct and take on broad projects from beginning to end
  • Ability to facilitate internal end-user proficiency.
  • Ability to create and maintain efficient customer support and feedback channels and ensure optimal data system functionality via appropriate diagnostics.
  • Knowledge of data security and privacy regulations and practices.
  • Ability to keep up with technology advancements.
  • Exceptional communication skills, especially in facilitating the use of new technology systems and understanding business requirements with broad set of stakeholders across levels, including senior management as required
  • Exceptional presentation skills, especially in creating and delivering content in workshops and seminars and ability to present to broad set of stakeholders across levels, including senior management
  • Leadership skills to establish best practices and collaborative ways of working across functions, create and animate a community of practice for technical business analysis as the team grows.

Attributes required for the role:

  • Proactive and results oriented
  • Motivation to perform and succeed
  • High-energy, robust and resilient
  • Analytical and driven by insight and understanding
  • Able to motivate, influence and empower others irrespective of reporting lines
  • Collaborative, direct and open in approach
  • Agile mentality - to develop a product management process fostering high-quality iterative delivery while we evolve towards a broader platform vision 



Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed