GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

Client is a top tier Global tech company working within and supporting the infrastructure Vendor Management Team.  

Job Responsibilities  

• Independently analyze data, conduct research and develop plans for inclusion in future state road-mapping, build/maintain data infrastructure (reporting layer data pipelines, reports, alerts).  

• Design, build and support data visualization, utilize in-house and third-party tools to identify trends, patterns, and provide insights into efficiency.  

• Ability to work under pressure and to manage multiple tasks simultaneously in a fast-paced environment.  

• Ability to work independently and in a team, with effective time management skills. 

• Take, with minimal supervision, a request from initial requirements gathering to final solution.  

• Development of end-to-end data solutions, including understanding of matching real-world business requirements to data, creation of datasets, visualization of data, testing of end-to-end solutions, and presentation of the solutions to clients.  

• Ability to work with ambiguous requests in an exciting, challenging, and dynamic workplace.  

• Ability to choose appropriate technical tooling.  

• Build robust and scalable solutions.  

• Ability to story-tell through visualization.  

• Ability to create an uncomplicated visualization from complex data.  

• From a data and visualization perspective, implement appropriate automation, scheduling, and alerting.  

• Implement permissions-based visualization solutions.  

• Ability to create reliable and production-ready solutions.  

• Ability to appropriately handle enhanced freedom in terms of technical options to complete the job.  

• Manage the client in terms of expectations, delivery, and work presentation.  

Education/Experience  

Essential:  

• Strong SQL, a minimum of 4 years’ SQL experience.  

• A minimum of 4 years’ data analysis & reporting experience.  
• 4 years’ experience with at least one industry standard visualization tool, e.g. Tableau, Power BI, Qlik, Looker, etc.  

Relevant Experience:  

• A strong track record of bringing about real improvements on the foot of data solutions, e.g. cost savings, efficiency improvements, data quality enhancement, revenue creation, etc.  

• Strong knowledge of SQL and experience in data querying, data segmentation, and dataset creation.  

• Strong knowledge of advanced SQL techniques such as complex joins, multi-set data, normalization, relational data modelling, data aggregation, OLAP methods, dataset testing, handling large datasets, data transformation, etc.  

• Knowledge of data engineering and SQL-adjacent technology, e.g. ETL, data pipelines, staging tables, data lakes, playpen (sandbox) management, etc.  

• Strong understanding of Business Intelligence strategies/design as it relates to data analysis.  

• Understanding of the interplay between dataset creation, database development, and visualization solution.  

• Ability to exercise good engineering judgement in terms of trade-offs between dataset creation and associated BI development.  

• Ability to design visualization dashboards end-to-end, i.e. create datasets, build, productionize dashboards.  

• Hands-on experience with the development of data visualization tools, and ability to choose one visualization tool over another depending on the technical environment or business needs.  

• Ability to align a data and visualization strategy with business requirements and technical landscape.  

• Understanding of visualization technique, e.g. dynamic measures, dashboard parameterization, variable creation, etc.  

• Understanding of databases in how they relate to data analysis and visualization, e.g.  relational, associative, etc.  

• Understanding of database design in order to extract information to create a dataset.  

• Experience of combining data from different source systems into one reconciled dataset, including appropriate merging of data and data transformation for a seamless downstream visualization.  

• A degree with a focus in Data Science, Maths, Computer Science, Information Systems, Statistics, Analytics, or equivalent.