Excellent opportunity for Data Analysts to be part of Cognizant’s Intelligent Process Automation practice. It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.
Role requires 5 days working from office (client site in London).
Job responsibilities
- Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
- Maintain data accuracy, integrity, and consistency across all data layers.
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
- Work with internal teams to resolve data issues and discrepancies in reporting.
- Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
- Assist product teams in extracting and analyzing data for functional testing and data investigations.
- Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.
- Deliver end-to-end reporting solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
Required qualifications, capabilities & skills
- Formal training or certification on data engineering concepts and applied experience.
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role.
- Experience in database querying techniques and SQL.
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores).
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Experience in working with technical data formats (JSON / Avro / Parquet).
- Strong analytical and problem-solving skills.
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders.
- Attention to detail and commitment to maintaining data quality.
- Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities & skills
- Experience in working in a highly regulated environment / industry.
- Understanding of data warehousing concepts and ETL processes.
- Understanding of event-base architecture, data streaming and messaging frameworks.
- Experience in data analysis using Python programming language.
- Understanding of data governance frameworks.
- Understanding of AWS cloud technologies.
