Senior Business Intelligence Analyst
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems.
Role Overview
The Senior Business Intelligence Analyst plays a critical role in transforming data into actionable insights that drive both strategic and operational decision-making across the organisation. This involves partnering closely with stakeholders at all levels to understand their pain points and business questions, then designing analytical frameworks that address those needs. This includes building robust data models, integrating and modelling data from multiple systems, and developing forecasting and machine-learning solutions that provide forward-looking clarity. By combining deep technical capability with strong commercial understanding, the Senior BI Analyst delivers high-quality reporting, predictive analytics, and data-driven recommendations that support business growth, operational effectiveness, and long-term strategic planning.
Key Responsibilities
Business Intelligence & Reporting
Design, develop, and maintain high-quality data tools, including dashboards, analytical products, and self-serve reporting solutions—using Tableau and other BI platforms to ensure stakeholders have reliable, insightful, and accessible information
Translate stakeholder requirements into effective analytical solutions
Build and optimise data models and SQL queries by leveraging multiple internal and external systems to create integrated, high-quality datasets. This includes developing complex data tables and transformations that make previously inaccessible or fragmented information available, enabling stakeholders to answer sophisticated business questions with clarity and confidence.
Enhance Snowflake data structures and modelling practices
Monitor and manage data accuracy across business systems
Automate complex Excel-based pricing and unit-management models by converting them into scalable, reliable data tools that streamline decision-making. These tools replicate and enhance the underlying logic of legacy workbooks—used for unit pricing, market availability decisions, and core BTR operations
Stakeholder Engagement & Strategic Partnership
Build strong relationships with stakeholders across Operations, Marketing, Revenue Management, Finance, and Executive teams.
Act as a trusted advisor by providing data‑driven recommendations.
Facilitate requirements-gathering sessions with stakeholders at all levels by delivering tailored workshops and walkthroughs that match the technical understanding and needs of each audience. This includes running high-level strategic sessions with senior leaders, detailed analytical scoping workshops with operational teams, and hands-on walkthroughs for end-users to ensure requirements are clearly captured, well-defined, and translated into effective analytical solutions.
Data Science, Forecasting & Advanced Analytics
Design, refine, and recommend KPI frameworks that align with stakeholder needs—translating business pain points and strategic questions into measurable, insight-driven performance indicators
Apply machine‑learning techniques to forecasting and classification problems (tenancy length, LTV, debt likelihood, etc.)
Plan and scope analytical experiments—such as A/B tests and structured hypothesis testing—to support data-driven decision-making. This includes using statistical methods like T-Tests and ANOVA to compare and validate business strategies, for example selecting the most effective automated debt-collection process or identifying which marketing approach delivers better performance. - Interpret statistical results for non‑technical audiences
ETL, Engineering & Data Quality
Connect external platforms into a unified data ecosystem, ensuring information flows smoothly across the business and reduces manual work
Create reliable, well-structured DBT models that provide a single source of truth for KPIs and reports, improving accuracy and stakeholder confidence
Establish clear data standards, ownership, and quality checks so stakeholders can trust the insights and make decisions with confidence
Essential Skills
Degree in Computer Science or related discipline
Advanced SQL and Snowflake expertise
Proficiency in Python for analytics and modelling
Strong experience with BI tools (Tableau, Power BI)
Excellent Excel and analytical problem‑solving skills
Strong communication and stakeholder‑management skills
Additional Senior‑Level Responsibilities
Mentor junior analysts and shape BI best practices
Contribute to long‑term data strategy and architecture
Identify opportunities for automation and advanced analytics initiatives
Our Benefits
Remote / Hybrid work options
Private Health Insurance, including dental
Free Parking
Fun Office Space – game zone + relaxation area
Annual Holidays Boost – +5 extra days after year 1 and year 5
Training & development budget
Employee referral bonuses
Regular social events
Family insurance add-ons
Fully covered Multisport Card