Technical Data Analyst

We are looking for Technical Data Analyst who will utilise advanced data analysis techniques, coupled with domain knowledge, to provision data from a variety of sources to address project requirements and improve business performance.

Other duties will include:

• Eliciting requirements from key stakeholders, including senior management, using a variety of methods, including facilitation of workshops, to capture business requirements
• Partnering with senior business stakeholders to identify impacts to business processes, and make informed recommendations
• Understanding overall business requirements and raise issues or concerns that would impact business objective and recommends actions
• Ensuring attributes of data, relationships between data elements and sources of data are defined and mapped
• Provide SQL logic to the team for development
• Utilising technical, subject matter and domain expertise, ensuring solution recommendations are aligned with overall Group enterprise architecture
• Contribute towards high quality Metadata using Data Catalog tools
• Recommend opportunities for continuous improvement of tools, processes and methodologies

We’re Interested In Hearing From People Who Have

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

• Advanced SQL and Excel skills
• Adept in Teradata Group Data Warehouse, Cloudera Hadoop Big Data (Omnia) platforms, Datastage and various ETL frameworks
• Knowledge of messaging platform like Kafka
• Knowledge of AWS Native Services: AWS services: AWS Glue/ DataCatalog, AWS CloudFormation, EMR, Redshift, Data Zone, Lake Formation, S3/Athena, Airflow, Terraform, AWS DevOps, Automation, CICD
• Exposure to cloud-based data warehousing
• Experience with data sources, data extraction, data cleansing and ingestion within a large complex organisation
• A passion to ensure attributes of data, relationships between data elements and sources of data are defined and mapped
• A deep understanding of the variations in data flows for financial transaction
• Experience working within finance and risk would be an advantage
• Experience & adaptability in Engineering, Data Design and/or Quality assurance space would be highly desirable.

About Synechron

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 48 offices in 19 countries within key global markets.