Data Analyst with Financial Planning emphazis

Cadex; Antioquia; A distancia; COP 195.259.000 - 273.363.000; Jornada completa

Descripción de la vacante

A fintech company is looking for a Reporting Analyst to support the FP&A team in Colombia. This role involves developing financial reports, analyzing data, and ensuring regulatory compliance. Candidates should have a degree in Finance, strong Excel skills, and over 3 years of experience in FP&A or financial reporting. The position is remote, offering flexibility and the opportunity to work in a dynamic financial services environment.

Formación

• 3+ years of experience in FP&A or financial reporting.
• Proven track record of creating dashboards and financial reports.
• Strong understanding of accounting principles.

Responsabilidades

• Develop and automate financial and operational reports.
• Collaborate with multiple teams to validate financial data.
• Support monthly and quarterly financial close processes.

Conocimientos

Excel proficiency

Strong analytical skills

Communication skills

BI tools proficiency

Educación

Bachelor’s degree in Finance or related field

Herramientas

Oracle Hyperion

Tableau

SQL

Descripción del empleo

Job Title: Reporting Analyst – FP&A (Financial Planning & Analysis)

Location: Remote - Colombia

Department: Enterprise Data & Analytics / Technology

Reports to: Chief Data Officer (CDO) or Head of Data Engineering

About The Role

We are seeking a detail-oriented and analytical Reporting Analyst to support our Financial Planning & Analysis (FP&A) team within the financial services vertical. You will play a crucial role in generating, analyzing, and delivering timely financial reports that help drive business decisions, forecasting, and budgeting in a fast-paced fintech environment.

Your work will directly impact how the company manages financial performance, optimizes resource allocation, and ensures compliance with regulatory reporting requirements.

Key Responsibilities

• Develop, maintain, and automate financial and operational reports to support FP&A processes including budgeting, forecasting, and variance analysis.
• Collaborate with finance, accounting, and business units to collect, validate, and reconcile financial data.
• Create dashboards and reporting tools to provide actionable insights into revenue, expenses, cash flow, and key performance indicators (KPIs).
• Support monthly, quarterly, and annual financial close processes by preparing FP&A reports and analyses.
• Analyze financial results vs. budgets and forecasts, identifying trends, risks, and opportunities.
• Assist with regulatory and compliance reporting specific to financial services (e.g., SEC filings, FINRA, SOX controls).
• Work closely with data teams to improve data quality, reporting automation, and financial data governance.
• Communicate financial insights clearly to senior management and business stakeholders.

Required Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, or related field.
• 3+ years of experience in FP&A, financial reporting, or business analysis—preferably in financial services or fintech.
• Strong proficiency with Excel (pivot tables, formulas, macros) and experience with financial reporting tools (e.g., Oracle Hyperion, Anaplan, Workday Adaptive Planning).
• Strong proficiency with BI tools such as Tableau, Looker or Power BI to develop dashboards and visualizations.
• Have a proven track record of designing, developing, and maintaining dynamic dashboards and comprehensive financial reports to support strategic decision-making
• Solid understanding of accounting principles, financial statements, and budgeting processes.
• Excellent analytical, problem-solving, and organizational skills.
• Strong communication skills with ability to present complex financial data to non-financial stakeholders.

Preferred Qualifications

• Experience working within regulated financial services environments (banking, lending, payments).
• Familiarity with GAAP/IFRS standards and regulatory reporting requirements.
• Exposure to data warehouses or data lakes and working with SQL or data query tools.
• Experience with financial modeling and scenario analysis.
• Knowledge of fintech product metrics (e.g., loan portfolio KPIs, payment volumes).
• Python programming, Web scraping, API integration, Data analysis, Machine learning, and Linux.