Financial & Data Analyst

Related keywords: financial analyst remote jobremote job data analystanalyst remote job

Job Overview

The title of the position is Financial & Data Analyst, which is a full-time, remote role with the flexibility to adhere to U.S. client business hours. This position is offered by Pavago, a company specializing in connecting skilled professionals with roles that best suit their talents. The primary responsibility of the analyst is to develop financial models, assess performance data, and provide insights to influence strategic decisions. A successful candidate will combine analytical skills and financial expertise with modern data analysis tools.

Responsibilities

The role requires a broad scope of responsibilities that encompass various aspects of financial modeling and data analysis:

Financial Modeling

• Building and maintaining comprehensive financial statements spanning profit & loss, balance sheet, and cash flow.
• Performing scenario and sensitivity analyses to identify risks and opportunities that may affect the business.
• Modelling return on investment (ROI), internal rate of return (IRR), break-even points, and valuations for different projects or investments.

Data Analysis

• Conducting database queries using SQL to analyze large datasets effectively.
• Cleaning and transforming data utilizing Python, R, or advanced functions in Excel.
• Performing variance analysis to compare actual figures with budgeted or forecasted figures, ensuring data integrity in financial reporting.

Reporting & Dashboards

• Preparing monthly management reporting packages including decks for board meetings, ensuring clarity in presentation.
• Developing KPI dashboards using business intelligence tools such as Tableau, Power BI, or Looker. This ensures that all financial reports maintain a consistent reporting structure across finance and operations.

Forecasting & Budget Support

• Collaborating with Financial Planning & Analysis (FP&A) teams to refine budgeting and forecasting practices.
• Integrating real-time business performance data into rolling forecasts to enhance accuracy.

Data Quality & Governance

• Validating the sources of data ensuring their consistency and accuracy.
• Documenting methodologies for enhanced transparency and replicability of data models.

Collaboration

• Partnering with different sectors of the organization such as finance, sales, operations, and leadership to synchronize metrics.
• Translating complex data into actionable insights that can be understood by stakeholders without a technical background.

Skills Required

A successful applicant must possess a mixture of necessary and ideal skills that include:

Minimum Skills

• A minimum of 2 years of experience in - financial analysis, FP&A, or data analytics, indicating a solid foundational understanding of financial concepts and analysis.
• Proficient understanding of Excel/Google Sheets, particularly in using pivot tables, complex functions, and macros.
• Proficiency in SQL to manage and manipulate datasets.
• Experience in preparing variance analyses and management reports, conferring the ability to present financial data accurately.

Ideal Skills

• Experience in programming languages like Python or R for advanced analytics and data modeling.
• Familiarity with BI tools such as Tableau, Power BI, or Looker, which is crucial for modern data visualization.
• Background in industries such as SaaS, finance, healthcare, or professional services can benefit the applicant significantly.
• Knowledge of ERP systems (including NetSuite, SAP, or Oracle) can provide an additional advantage in data extraction processes.

Daily Responsibilities

The day-to-day responsibilities of the Financial & Data Analyst revolve around transforming raw data into insightful reporting and strategic analysis:

• Pulling and cleaning data from various ERP or SQL sources to generate useful reports.
• Updating financial models using the latest actuals for rigorous scenario planning.
• Preparing variance analyses to clarify deviations from budget expectations or forecasts.
• Building effective dashboards through BI tools to provide real-time visibility into key performance indicators (KPIs) for leadership teams.
• Collaborating with different stakeholders while presenting findings in a straightforward, actionable manner.
• Documenting assumptions and methodologies to maintain transparency in data handling and modeling processes.

Key Performance Indicators (KPIs)

The success in this role can be measured through the following metrics:

• Maintaining a variance within ±5–10% for forecasts and financial models showcases accuracy.
• Timely submission of monthly and quarterly reports, highlighting efficiency.
• Reliability and clarity in dashboards provided to stakeholders, ensuring robust decision-making tools.
• Gaining positive feedback from leadership on insights and recommendations shared can also signify success.
• Striving for reduced errors and improved data quality across all reports is essential for maintaining credibility.

Interview Process

Candidates can expect to undergo a streamlined interview process that includes:

• An initial phone screen.
• A video interview conducted with a recruiter from Pavago.
• A practical task that may involve building a simple financial model or creating a sample dashboard from a provided dataset.
• A final client interview with finance/operations leadership, which ensures that the candidate aligns well with team expectations and culture.

This role offers a unique opportunity to step into a critical position where data-driven decision-making is essential for guiding future business strategies and success.

This job offer was originally published on himalayas.app