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Full Time Google Bi Jobs (NOW HIRING)

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, ... Advanced Excel / Google Sheets: * Pivot Tables * INDEX/MATCH * Data modeling * Strong SQL skills ...

Seekonk, MA Schedule: Full-time, Open availability The Assistant Retail Store Manager (ASM) is a ... Generate and track new Google reviews bi-weekly through consistent guest engagement * Maintain a ...

Hamilton, NJ Schedule: Full-time, Open availability The Assistant Retail Store Manager (ASM) is a ... Generate and track new Google reviews bi-weekly through consistent guest engagement * Maintain a ...

Receptionist (Salon)

Ann Arbor, MI · On-site

$14.75 - $18.75/hr

Bi-Weekly Bonuses * Staples Discount as an EWC Employee * Google Review Bonus Payout * Great Guest ... Prior sales experience is an additional asset, but must be open to a sales-based role * Full Time & ...

Power BI Data Analyst Associate * Generative AI or LLM Certifications (e.g., Microsoft, AWS, Google ... Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a ...

... into a full-time role and relocate to the client site within the next 12 months. The client is ... Google Cloud Platform (GCP), BigQuery, and real-time streaming technologies. The ideal candidate ...

Paid Media Analyst Employment Type: Full-time Compensation: $80,000 - $100,000 Location: Los ... Aggregate and analyze campaign performance across Google, Microsoft, Meta, YouTube, CTV, radio ...

Budgeting/Forecasting Specialist Position Type: Full-Time, Remote Working Hours: U.S. client ... Google Sheets models (DCF, ROI, IRR, break-even). * Use advanced formulas, macros, or BI tool ...

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Full Time Google Bi information

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How much do full time google bi jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for full time google bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Google Bi jobs?

The most popular types of Google Bi jobs are:

Infographic showing various Full Time Google Bi job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Full-time

Re-posted 23 days ago


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.