Finance Data Analyst (SQL & Python)

The Finance Data Analyst plays a key role in supporting finance reporting, planning, and decision making through high-quality data, reporting, and analytical insight. This role exists to help the Finance  team access timely, accurate, and meaningful information across financial and operational data  sources.  Working closely with Finance, Data & Analytics, and other business stakeholders, the Finance Data  Analyst will develop and maintain reports, dashboards, and analytical models that support month  end processes, performance tracking, forecasting, and continuous improvement. The role also helps  identify data quality issues, improve reporting efficiency, and translate business questions into  practical analytical outputs.

KEY ACCOUNTABILITIES

• Develop, maintain, and improve finance reports, dashboards, and recurring analytical  outputs to support month end, forecasting, budgeting, and performance management. 
• Ensure timely and accurate production of existing finance reporting and investigate  variances, anomalies, and data issues when they arise. 
• Work with large, complex, and sometimes disparate data sources to prepare, transform, and  analyse data for reporting and business insight. 
• Partner with Finance stakeholders to gather requirements, define KPIs and reporting needs,  and translate business questions into clear analytical solutions. 
• Produce ad hoc analysis and models to support decision-making, identify trends, risks, and  opportunities, and provide actionable recommendations. 
• Support the ongoing uplift of finance data quality by identifying gaps, inconsistencies, and  process improvement opportunities, and working with relevant stakeholders to resolve them. 
• Assist with the design and improvement of reporting processes, data definitions, reconciliation ns, and documentation. 
• Support finance-related system, reporting, and data queries from internal stakeholders. 
• Work collaboratively with Data & Analytics and upstream data owners to ensure finance  reporting logic is consistent, scalable, and well understood. 
• Document report logic, metric definitions, data mappings, and process steps to support  continuity and governance.

QUALIFICATIONS / EXPERIENCE
Essential / must have

• Tertiary qualification in Finance, Accounting,  Economics, Statistics, Mathematics, Computer  Science, or a related discipline
• 2+ years of experience in a data analyst, BI  analyst, reporting analyst, or finance analyst role
• Strong SQL skills and experience querying large  and complex datasets
• Experience building reports and dashboards in BI  tools such as Tableau or similar
• Strong analytical and problem-solving capability,  with high attention to detail and data integrity
• Ability to interpret financial and commercial  concepts and translate them into useful reporting  and analysis
• Experience communicating with both technical  and non-technical stakeholders and gathering /  translating requirements into quality outputs
• Strong organisation skills and ability to manage  recurring deadlines alongside ad hoc requests

Desirable / preferable

• Experience working in telecommunications,  financial services, or another data-rich  commercial environment
• Exposure to data preparation or workflow tools  such as Alteryx, dbt, or similar
• Experience with Python, R, or other analytical  tooling
• Understanding of data warehousing concepts  and ETL processes
• Familiarity with Agile delivery environments and  collaboration tools such as Jira and Confluence
• Strong understanding of accounting principles,  month end processes, and finance controls
• Experience supporting KPI frameworks,  forecasting models, or management reporting  packs

Professional/technical skills

• SQL querying and data analysis
• Dashboarding and visualisation using BI tools  such as Tableau
• Data preparation, reconciliation, and  validation
• Requirements gathering and stakeholder  engagement
• Analytical problem-solving and insight  generation
• Documentation of reporting logic, metric  definitions, and process steps