waypointjobs

Pavago

Financial & Data Analyst

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

Financial Analyst / Data Analyst – Remote | SQL, Excel, BI Tools | U.S. Hours

Position Type: Full-Time, Remote

Working Hours: U.S. Client Business Hours

About the Role

We’re hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions.

This role sits at the intersection of finance, data, and strategy — you’ll build models, analyze performance, and create dashboards that leadership relies on daily.

If you’re someone who can connect numbers to real business impact, this is where you thrive.

What You’ll Own

Financial Modeling & Analysis

Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow)

Perform scenario analysis, sensitivity modeling, and forecasting

Analyze ROI, IRR, break-even points, and investment performance

Support strategic decision-making with data-backed financial insights

Data Analysis & Insights

Query and analyze datasets using SQL

Clean, structure, and transform data using Python, R, or Excel

Perform variance analysis (actual vs. forecast vs. budget)

Identify trends, risks, and opportunities across datasets

Reporting & Dashboards

Build dashboards using:

Tableau

Power BI

Looker

Prepare monthly reports, executive summaries, and board decks

Ensure reporting is consistent, accurate, and easy to interpret

Forecasting & Budgeting

Support FP&A processes and rolling forecasts

Integrate real-time performance into financial projections

Help improve forecasting accuracy and business planning

Data Quality & Governance

Validate data sources and ensure consistency

Document models, assumptions, and methodologies

Maintain clean, reliable datasets for decision-making

Cross-Functional Collaboration

Partner with finance, operations, sales, and leadership

Translate data into clear, actionable business insights

Support key decisions with structured analysis

What Success Looks Like

Leadership trusts your numbers and insights

Forecasts are accurate and actionable

Dashboards are clear, reliable, and used daily

Business decisions are driven by your analysis

Data quality and reporting consistency improve over time

What Makes You a Strong Fit

Analytical thinker who simplifies complex data

Detail-oriented with high accuracy standards

Strong communicator (not just numbers — insights)

Comfortable working with large datasets and ambiguity

Proactive in identifying trends and opportunities

Requirements (Must-Have)

Experience

2+ years in:

Financial Analysis

FP&A

Data Analytics

Core Skills

Advanced Excel / Google Sheets:

Pivot Tables

INDEX/MATCH

Data modeling

Strong SQL skills (queries, joins, data extraction)

Experience with financial reporting and variance analysis

Technical Stack

BI Tools:

Tableau

Power BI

Looker

Data tools:

SQL

Excel / Google Sheets

Nice to Have

Python or R for data analysis

Experience with ERP systems:

NetSuite

SAP

Oracle

Industry experience:

SaaS

Finance

Healthcare

Experience building executive dashboards

What a Typical Day Looks Like

Pull and clean data from SQL or ERP systems

Update financial models with new data

Run scenario and variance analysis

Build or refine dashboards for leadership

Present insights and recommendations to stakeholders

In short:

You turn raw data into clear insights that drive business decisions.

Key Metrics (KPIs)

Forecast accuracy (±5–10%)

Timely reporting delivery

Dashboard reliability and usability

Data accuracy and consistency

Leadership satisfaction with insights

Interview Process

Initial Phone Screen

Video Interview with Recruiter

Practical Task (model or dashboard)

Client Interview

Offer & Background Verification

Apply Now

If you’re someone who enjoys working with data, building models, and influencing decisions through insights, this role gives you direct impact on business strategy.

Apply now and become the bridge between data and decision-making.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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