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- Tasks: Transform commercial goals into actionable strategies within the NBA ecosystem.
- Company: Join a dynamic team at the forefront of sports analytics and technology.
- Benefits: Enjoy flexible working options, innovative projects, and a vibrant company culture.
- Why this job: Be part of an agile squad that drives impactful business decisions and enhances the NBA experience.
- Qualifications: Strong data analytics skills and familiarity with programming languages like Kotlin are essential.
- Other info: Opportunity to work with cutting-edge technologies and contribute to exciting projects.
The predicted salary is between 28800 - 48000 £ 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 Analysis employer: IBU Consulting
Contact Detail:
IBU Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analysis
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kotlin and PostgreSQL. Having hands-on experience or projects that showcase 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 play a role in decision-making within this context, and be prepared to discuss how you can contribute to improving business outcomes.
✨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 insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to demonstrate your ability to work in agile teams. Think of examples from your past experiences where you successfully collaborated with cross-functional teams, as this will highlight your fit for the role.
We think you need these skills to ace Business Analysis
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Business Analyst in the NBA ecosystem. Familiarise yourself with the key technologies mentioned, such as Kotlin and PostgreSQL, and how they relate to the role.
Tailor Your CV: Highlight your experience with data analytics, visualisation, and any relevant programming languages or tools. Make sure to include specific examples of how you've influenced business outcomes or streamlined processes in previous roles.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're passionate about the role and how your skills align with the company's goals. Mention your ability to work alongside commercial teams and your experience in agile environments.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to drive decision-making. Discuss any experience you have with machine learning models or real-time data processing, as these are crucial for the role.
How to prepare for a job interview at IBU Consulting
✨Understand the Business Goals
Before the interview, make sure you have a solid grasp of the company's commercial goals and how they relate to the NBA ecosystem. Be prepared to discuss how your skills in data analytics can help translate these goals into actionable strategies.
✨Familiarise Yourself with Relevant Technologies
Since the role involves working with specific technologies like Kotlin, PostgreSQL, and AWS services, take some time to brush up on these tools. Being able to speak confidently about your experience with them will show that you're ready to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and ability to influence business outcomes. Think of examples from your past experiences where you've successfully streamlined processes or improved KPIs.
✨Show Your Collaborative Spirit
This role requires working closely with various teams, so be ready to demonstrate your ability to collaborate effectively. Share examples of how you've worked within agile squads or cross-functional teams to deliver value and drive best practices.
