ZipRecruiter

Log In

1

Analyst Data Analysis Jobs (NOW HIRING)

Pavago

Financial & Data Analyst

Perform scenario analysis, sensitivity modeling, and forecasting * Analyze ROI, IRR, break-even points, and investment performance * Support strategic decision-making with data-backed financial ...

Everest

Senior Analyst - Data Products

New York, NY · Hybrid

$134K - $175K/yr

The role combines business analysis, data analysis, and data product support responsibilities, with a strong focus on requirements, data validation, and delivery execution across enterprise data ...

TransUnion

Data Analysis Manager

Chicago, IL · On-site

Support data onboarding, cataloging, and analysis activities within the OneTru platform. * Establish and maintain standards for data governance, data lineage, access controls, and lifecycle ...

Everest

Senior Analyst - Data Products

Warren, NJ · Hybrid

$134K - $175K/yr

The role combines business analysis, data analysis, and data product support responsibilities, with a strong focus on requirements, data validation, and delivery execution across enterprise data ...

RWE

Risk Analyst/Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

Supporting the daily market data process * Coordinating the trading end of day process ... With precise market analysis and a strong customer focus, we create innovative energy supply ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

psudo

Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc. Employment Type: FULL_TIME

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL Development Qualifications: * Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or ...

next page

Showing results 1-20

All JobsAnalyst Data Analysis Jobs

Analyst Data Analysis information

See salary details

$34K

$82.6K

$136K

How much do analyst data analysis jobs pay per year?

As of Jul 22, 2026, the average yearly pay for analyst data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analyst in Data Analysis, and why are they important?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What are Analyst Data Analysis roles?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an Analyst Data Analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.
More about Analyst Data Analysis jobs
What cities are hiring for Analyst Data Analysis jobs? Cities with the most Analyst Data Analysis job openings:
What states have the most Analyst Data Analysis jobs? States with the most job openings for Analyst Data Analysis jobs include:
What job categories do people searching Analyst Data Analysis jobs look for? The top searched job categories for Analyst Data Analysis jobs are:
Analyst Data Analysis jobs near you
Infographic showing various Analyst Data Analysis job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Financial & Data Analyst

Pavago

Remote

Full-time

Posted 25 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.

Apply