Senior BI Developer
Lifecycle Software
full-time
Posted on:
Location Type: Hybrid
Location: Remote • United Kingdom
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Job Level
About the role
- Work directly with customers to understand their business challenges and translate them into data-driven analytical problems.
- Design, build, and maintain data pipelines to collect, clean, and transform large datasets from our OSS/BSS platforms into a usable format for analysis.
- Apply statistical analysis, machine learning, and AI techniques to customer data to identify trends, predict churn, segment subscribers, and optimize pricing strategies.
- Create and present clear, compelling reports and dashboards that communicate these insights to both technical and non-technical stakeholders.
- Support the migration of customer data to Azure Data Lakes or other cloud-based solutions.
- Develop and deploy AI/ML models to automate trend detection and predictive analytics.
- Participate in all stages of the professional services delivery process, including requirements gathering, solution design, implementation, and post-go-live support.
- Work closely with our development and product teams to share insights and contribute to the evolution of our platform's data capabilities.
Requirements
- Extensive experience with SQL for data extraction and querying, including performance optimization.
- Proven ability to work with large, complex datasets and perform exploratory data analysis (EDA).
- Experience with data visualization tools such as Power BI, Tableau, Grafana, or equivalent.
- Familiarity with cloud data platforms, specifically Azure Data Lake and related services (e.g., Azure Data Factory, Databricks).
- Solid understanding of statistical modelling, machine learning algorithms (e.g., clustering, regression, classification), and their application in a business context.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to a non-technical audience.
- Highly self-motivated, autonomous, and organized with a meticulous attention to detail.
- Desirable: Experience in the telecoms industry (MNO/MVNO), with an understanding of OSS/BSS platforms, billing systems, and subscriber data.
- Familiarity with Big Data technologies like Spark, Hadoop, or others.
- Experience with MLOps and deploying models into production environments.
- Knowledge of data warehousing concepts and data modelling.
- Experience with other programming languages like Java.
- Familiarity with CRM systems and processes.
Benefits
- 24 days holiday plus ‘your birthday off’
- private medical
- life assurance
- critical illness
- employee assistance program
- contributory pension
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata extractiondata visualizationstatistical modelingmachine learningAI techniquesdata warehousingdata modelingMLOpsJava
Soft Skills
communication skillspresentation skillsself-motivatedautonomousorganizedattention to detail