Management Level
GEquiniti provides comprehensive solutions to support organizations throughout their corporate lifecycle, including managing shareholder engagement, maintaining stock registers, facilitating ownership transfers, enabling shareholder meetings, paying dividends, supporting IPOs, and administering employee equity plans. We are dedicated to revolutionizing shareholder services by developing digital solutions that facilitate dematerialization for issuers and shareholders.
EQ is a fintech that connects the future of capital, communications, and governance, building trust and confidence in every market we serve. Our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.
Position: Amazon Connect Data Specialist
Key Responsibilities:
- Subject matter expert of data requirements within a Contact Centre environment
- Own the data relationship with EQ Data Office, Management Information & Business Stakeholders across all EQ divisions
- Provide data input & guidance during the discovery, design and build phases to ensure the data requirement are achieved and accurate for Amazon Connect
- Own all aspects of data management and output for Amazon Connect including integrations leveraging AWS data
- Collect, clean, validate and process data from multiple sources ensuring accuracy and completeness.
- Define & govern data best practice
- Build and develop reports in conjunction with wider EQ stakeholders
Technical Abilities:
- Hands-on experience with Amazon Connect leveraging knowledge of AWS services (Lambda, DynamoDB, S3, SES, SNS, Lex, Bedrock, API Gateway, Contact Lens, CloudWatch, CloudTrail etc..) to support contact centre solution development.
- Proficiency with Amazon Connect / AWS data, MS Fabric, Databricks and Data Transformation.
- Extensive experience of Business Intelligent tools - Power BI & QuickSight.
- Programming: Expert in Python, SQL or another programming language with data manipulation and extraction. and experienced with Terraform.
- DevOps knowledge and exposure to AWS Terraform and Pipeline deployments.
- AWS Certifications are beneficial such as AWS Certified Solutions Architect, Data Analytics, Machine Learning but are not essential.
Behavioural Expectations:
- Communication Skills: Excellent written and spoken communication abilities.
- Collaborative Mindset: Build strong connections and work well with stakeholders.
- Eager Learner: Enthusiastic about learning and sharing knowledge.
- Independent Worker: Capable of working without direct supervision.
- Centralized Support: Provide voice and video support to internal stakeholders.
- Stakeholder Collaboration: Work effectively with various levels of management.
- Vendor Management: Engage and manage third-party vendors.
- Problem Solving: Troubleshoot and resolve technical issues.
- Troubleshooting: Resolve issues quickly and efficiently in voice and network systems.
- Learning and Development: Continuously expand knowledge of Amazon Connect, AWS services, and contact centre technologies.
- Stay Current: Keep up with the latest trends in cloud, data and managed services.
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks.
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What We Do
Our people and platforms engage customers with investments, connect businesses with markets, and enable organisations to grow. Our vision is to be a leading global share registrar and transfer agent, offering complementary services in pensions and remediation, to help our customers succeed.
