Finance Data Analyst (SQL & Python)

NCS Philippines; Taguig; On-site; PHP 480,000 - 800,000; Full time

Job summary

NCS Philippines is seeking a Finance Data Analyst to support finance reporting, planning, and decision making through high-quality data, reporting, and analytical insights. You will develop and maintain reports, dashboards, and analytical models that support month-end processes, forecasting, and continuous improvement.

collaboration with Finance, Data & Analytics, and other stakeholders to translate business questions into practical analytical outputs and to ensure data quality and governance

Qualifications

• Finance-related tertiary qualification required.
• 2+ years in data/BI/finance analysis role.
• Strong SQL skills and ability to query large datasets.
• Experience building reports and dashboards in Tableau or similar BI tools.
• Strong analytical and problem-solving capability with high data integrity.
• Experience communicating with stakeholders and translating requirements into outputs.
• Experience with data sources integration and data quality improvement.

Responsibilities

• Develop, maintain, and improve finance reports, dashboards, and analytical outputs for month end, forecasting, budgeting, and performance management.
• Ensure timely and accurate production of existing finance reporting and investigate variances and data issues.
• Work with large, complex data sources to prepare, transform, and analyse data for reporting and insight.
• Partner with Finance stakeholders to gather requirements and define KPIs.
• Produce ad hoc analysis and models to support decision-making and identify trends, risks, and opportunities.
• Support uplift of finance data quality and document reporting logic and data mappings.

Education

Tertiary qualification in Finance/Accounting/Economics/Statistics/Mathematics/Computer Science

2+ years data/BI/finance analysis experience

Tools

Tableau

Alteryx

dbt

Python

R

Jira

Confluence

Job description

TheFinance Data Analystplays 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 asAlteryx, dbt, or similar
• Experience withPython, R, or other analytical tooling
• Understanding ofdata warehousing concepts and ETL processes
• Familiarity with Agile delivery environments and collaboration tools such asJira 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