Financial & Data Analyst

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