Junior Business Data Analyst (Billing)

• Gather data from various sources, clean it by removing irrelevant information, and organise it for analysis.
• Apply analytical techniques to find trends, patterns, and correlations in datasets, including data mining and predictive modelling.
• Create reports to present findings and insights to both technical and non-technical stakeholders in an understandable format.
• Build new data flows to facilitate the delivery of projects key to the business.
• Implement data flows to connect operational systems, data for analytics, and BI systems.
• Act as a technical bridge between Development and Finance departments.
• Ensure that documentation of both new and existing business processes is maintained.
• Understand business data requirements and translate them into technical solutions.
• Other ad hoc reasonable and related tasks as required by the Lead Business Analyst.

Do you have experience in Waterfall?, Eseye is looking for a Junior Business Data Analyst (Billing) who is self-driven, possesses strong data analytical skills, excellent attention to detail, and a methodical and process-led approach to their work. This role works with the Billing and Finance teams to drive reporting and billing data integrity. They also work collaboratively with the Engineering and Product teams to support the delivery of effective and valuable projects in the organisation, utilising AWS and other applications to build new processes for complex billing models and reconciliation., * Minimum degree level education, ideally with a Mathematics or Economics based degree.

• Proven analytical skills, previous experience in a data analytical role preferred.
• Strong communication skills and the ability to explain complex data findings to diverse audiences.
• Self-starter, inquisitive, proactive, goal/objective focused.
• Strong attention to detail and critical thinking - able to interpret data and address business challenges.
• Willing to take on, drive, and complete projects and tasks relating to data transformation, data warehouse, BI, MI, AI, and machine learning.
• Strong SQL, T-SQL and query writing skills to intermediate level.
• Understanding of ETL and data transformations.
• Appreciation of AWS tooling and applications for managing and shaping data.
• Ability to work as part of a team or individually to deliver assigned tasks and stories as defined by Engineering or Product Management.
• Well organised, able to manage time and prioritise tasks effectively.

Since Eseye began in 2007, we have become a leading global provider of IoT connectivity. Using our device and cellular expertise and specialist IoT support, we have successfully connected over 1,000 different device types, through global cellular partnerships in 190 countries. Eseye-enabled devices are connected and managed using our leading IoT Managed Services across all industry verticals, both for enterprise-level global brands and entrepreneurial start-ups.