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Business Analyst Data Analyst Jobs (NOW HIRING)

CERES Group

Business Analyst Data Analyst

Boston, MA · On-site

Conduct analysis, data validation and mapping; gather requirements and documentation * Understand business workflows, identify problems and opportunities in the context of reporting requirements

SolGenie

BUSINESS ANALYST (DATA)

New York, NY · On-site

BUSINESS ANALYST (DATA) Location: New York Duration: 9+ months Work Mode: Hybrid (3 days in office) Visa: Due to nature of the job, we can consider only US citizen and Green Card * Experience: Should ...

United IT

Business Analyst

Cleveland, OH

Business Analyst / Data Analyst / Data Testing Must Have Technical/Functional Skills: * Strong hands-on expertise in SQL (Mandatory) - complex queries, joins, aggregations, performance tuning.

Navtech, Inc.

Business Analyst

Buffalo, NY · On-site

Business Analyst/Data Analyst Location : Buffalo, NY and Chicago, IL Duration : 6+ Months Please find below JD and please work on it and send some good resumes to me. The roles have essentially been ...

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How much do business analyst data analyst jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for business analyst data analyst in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

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

AspectBusiness Analyst Data AnalystData Scientist
Required SkillsData analysis, reporting, business process understandingAdvanced statistical, programming, and machine learning skills
Work EnvironmentBusiness settings, project teams, stakeholder communicationData modeling, algorithm development, research-focused
CertificationsCBAP, CAP, or relevant data analysis certificationsCertified Data Scientist, SAS, or Python certifications
Industry UsageBusiness operations, finance, marketingResearch, AI, predictive modeling, big data

The main difference between a Business Analyst Data Analyst and a Data Scientist lies in their focus and skill set. Business Analysts Data Analysts primarily interpret data to support business decisions, while Data Scientists develop complex models and algorithms for predictive insights. Both roles require strong analytical skills, but Data Scientists typically have advanced programming and statistical expertise.

What are the key skills and qualifications needed to thrive as a Business Analyst Data Analyst, and why are they important?

To thrive as a Business Analyst Data Analyst, you need strong analytical abilities, problem-solving skills, and proficiency in data modeling, typically backed by a degree in business, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and experience with statistical software are commonly required, along with certifications like CBAP or CAP. Excellent communication, critical thinking, and stakeholder management skills distinguish top performers in this role. These competencies are crucial for translating complex data into actionable insights that drive informed business decisions and strategic improvements.

How do Business Analyst Data Analysts typically collaborate with stakeholders during a project?

Business Analyst Data Analysts regularly engage with stakeholders such as business leaders, IT teams, and end-users to gather requirements, clarify objectives, and present data-driven insights. They often facilitate meetings and workshops to understand business needs, document processes, and ensure that data solutions align with organizational goals. Effective communication and active listening are key to bridging the gap between technical teams and business units, resulting in actionable recommendations and successful project outcomes.

What are Business Analyst Data Analysts?

Business Analyst Data Analysts are professionals who use data analysis techniques to help organizations make informed business decisions. They collect, process, and interpret large datasets to identify trends, solve problems, and provide actionable insights. By combining business knowledge with data expertise, they bridge the gap between IT and business teams to support strategic planning and operational improvements. Their work often involves creating reports, dashboards, and presentations to communicate findings to stakeholders.
More about Business Analyst Data Analyst jobs
What cities are hiring for Business Analyst Data Analyst jobs? Cities with the most Business Analyst Data Analyst job openings:
What states have the most Business Analyst Data Analyst jobs? States with the most job openings for Business Analyst Data Analyst jobs include:
Business Analyst Data Analyst jobs near you
Infographic showing various Business Analyst Data Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Business Analyst / Data Analyst

Futran Tech Solutions Pvt. Ltd.

Passaic, NJ

Other

Posted 6 days ago

Job description

Business Analyst / Data Analyst

Canada and New Jersey

Fulltime

10 + years

Salary 120K/annum+benefits

BA should be able to perform UAT and functional testing on the home grown application

Comfortable with learning application quickly and contribute onto business functionality effectively

Good Excel analysis, SQL, Able to use Sharepoint and Confluence effectively

Key Responsibilities:

Business Analysis:

  • Collaborate with stakeholders to gather, document, and analyze business requirements and processes.
  • Translate business needs into functional specifications and data-driven solutions.
  • Support project management activities including scoping, risk assessment, and implementation planning.
  • Identify opportunities for process improvement and optimization.

Data Analysis:

  • Collect, clean, and analyze structured and unstructured data from multiple sources (e.g., CRM, ERP, SQL databases).
  • Develop dashboards and reports using tools like Power BI, Tableau, or Excel.
  • Perform exploratory data analysis (EDA) to uncover trends, anomalies, and insights.
  • Develop and maintain KPIs, metrics, and data visualizations to support business goals.

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