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For Companies At a Glance
- Tasks: Transform commercial goals into actionable strategies and enhance decision-making through data analytics.
- Company: Join a dynamic team within the NBA ecosystem, driving innovation and commercial success.
- Benefits: Enjoy flexible working options, cutting-edge technology, and opportunities for personal growth.
- Why this job: Be part of an agile environment that values creativity and challenges the status quo for impactful outcomes.
- Qualifications: Proficiency in Kotlin, PostgreSQL, and data visualisation; experience in agile methodologies is a plus.
- Other info: Opportunity to work with advanced technologies like Machine Learning and contribute to exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.
Advise on which KPIs to prioritise to improve the business outcomes of the NBA ecosystem.
Mastery in data analytics and visualisation to extract the relevant signals and patterns for better decision-making and prioritisation for faster time-to-market offers.
Must be able to work alongside Commercial teams (e.g. base management, pricing) and Product Tribes (e.g. Home, Mobile, TV).
Proactively streamline requirement processes and influence the refinement of business activities themselves, beyond execution.
Operate as embedded partner within agile squads and tribes for continuous commercial value delivery.
Must be capable of challenging the business and drive best practices for better business outcomes.
Tech:
- Kotlin: Primary programming language for core NBA applications
- PostgreSQL (GCP & AWS RDS): For application configuration and schema management
- DynamoDB (AWS): NoSQL data store for high-throughput eligibility and state data
- Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic
- NBA Orchestrator: Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems
- Machine Learning Models via Vertex AI (GCP)
- AWS Glue + Lambda + Step Functions: Batch ETL workflows
- Kafka (Confluent Cloud): Real-time feature streams ingestion
- Kinesis Streams + Firehose: Traceability and telemetry routing
- Cloud Storage (S3, GCP buckets): Configuration, logs, traceability data
- Envoy Proxy + ALB + WAF: TLS termination, authentication, traffic routing
- CloudWatch / Dynatrace: Observability and alerting
- Terraform + GitLab CI/CD: Infrastructure as Code and deployment pipelines
- Custom UI for simulations/experiments (planned to support with GenAI features in the future) for business configuration, testing, and release governance
Business Data A employer: IBU Consulting
Contact Detail:
IBU Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data A
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Kotlin and PostgreSQL. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Understand the NBA ecosystem and its commercial goals. Research how data analytics and visualisation can impact decision-making within this context, and be prepared to discuss your insights during interviews.
✨Tip Number 3
Network with professionals who work in similar roles or within the NBA ecosystem. Engaging with them on platforms like LinkedIn can provide you with valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to demonstrate your ability to work collaboratively in agile teams. Think of examples from your past experiences where you influenced business activities or streamlined processes, as this will resonate well with the role's requirements.
We think you need these skills to ace Business Data A
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Business Data A position. Familiarise yourself with the NBA ecosystem and the specific technologies mentioned in the job description.
Tailor Your CV: Highlight your experience with data analytics, visualisation, and any relevant programming languages like Kotlin. Make sure to showcase your ability to work with commercial teams and your understanding of KPIs that drive business outcomes.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills and experiences align with the role. Emphasise your proactive approach to streamlining processes and your capability to challenge the business for better outcomes.
Showcase Relevant Projects: If you have worked on projects involving the technologies listed (like PostgreSQL, AWS, or machine learning), be sure to mention these. Provide specific examples of how you contributed to decision-making and improved business outcomes in previous roles.
How to prepare for a job interview at IBU Consulting
✨Understand the Business Context
Before your interview, make sure you have a solid grasp of the NBA ecosystem and how it operates. Familiarise yourself with the commercial goals and product catalogue strategy, as this will help you articulate how your skills can contribute to their objectives.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analytics and visualisation. Highlight specific projects where you've extracted relevant signals and patterns that led to improved decision-making. This is crucial for demonstrating your mastery in the tools and technologies mentioned in the job description.
✨Collaborative Mindset
Since the role involves working alongside various teams, emphasise your ability to collaborate effectively. Share examples of how you've worked within agile squads or cross-functional teams to deliver commercial value, and be ready to discuss how you can influence business activities beyond mere execution.
✨Challenge the Status Quo
The company is looking for someone who can challenge existing practices and drive best outcomes. Prepare to discuss instances where you've successfully identified areas for improvement and implemented changes that led to better business results. This will show your proactive approach and strategic thinking.
