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Business Data Analyst Jobs (NOW HIRING)

Minimum of 5 years of work experience with a focus on data/business analytics, especially in Sales or Pricing environments. * Bachelor's degree in Finance, Economics, Business, Mathematics, or a ...

Under general direction of the Chief of Staff, serves as primary data analytics analyst for the agency. Duties will include the planning and implementation of complex business initiatives, as well as ...

New

Business Data Analyst Location: Eagan, MN 55123 Duration: 3 Months (May extend) Description: The Data Analyst is critical to the success of the Legal Human Resources function with the main priority ...

Business Data Analyst ( Min. 10+ yrs. Exp. ) Location: Nebraska, Texas Duration: Long Term Division of Information Technology (DoIT) is seeking candidate for documenting home-grown systems in IFA ...

Summary The Business Data Analyst will collaborate with clients, end users, and other stakeholders to assess usability needs, requirements, and specifications for the requested program or data ...

The ability to conduct cost/benefit analysis Business case development Determines if Data Acquisition is needed Analyzes source data Modeling techniques and methods Ability to work in team in diverse ...

Leidos is looking for a Business Data Analyst to support survey design, development, implementation, and analysis, as well as running focus groups, and briefing results to customer stakeholders.

Looking for a Business Data Analyst with 3-7 Years of overall experience. * The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data ...

We are hiring a Business Data Analyst for an exciting remote opportunity. and Responsibilities Provides comprehensive, matrixed analytical support across all portfolio programs by delivering in-depth ...

Strong analytical skills (KPIs analysis) and being data-driven, managing priorities and time-sensitive deadlines. * At least 2 years of experience working in Strategic Business Development projects ...

New

Business Data Analyst

Mclean, VA · On-site

$73K - $132K/yr

Leidos is looking for a Business Data Analyst to support survey design, development, implementation, and analysis, as well as running focus groups, and briefing results to customer stakeholders.

Verify source data to be used truly supports requirements * Assist in analyzing business needs against existing data structures/strategy * Develop a strong working relationship with internal business ...

Description HD HR Consulting Solutions, LLC. (www.hdhrconsulting.com) is seeking a full-time Business Data Analyst to work onsite at NIH (National Institutes of Health) facility in Bethesda, MD. The ...

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Business Data Analyst information

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How much do business data analyst jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for business 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.

Is 40 too old to become a data analyst?

Business Data Analysts can pursue the role at any age, as the field values skills such as data analysis, statistical knowledge, and proficiency with tools like Excel, SQL, and Tableau. Many professionals transition into data analysis later in their careers by gaining relevant certifications or training, making age less of a barrier than skill and experience.

What Is a Business Data Analyst?

A business data analyst collects information and raw data and uses it to analyze the performance of a business and the conditions of the market in which it operates. In this career, your job duties revolve around working with statistics and computer-based statistical models and developing reports to communicate the information to your employer. Experience with programming is beneficial in this career as business data analysts rely on computer programs to filter data and create algorithms. You also need excellent communication skills to present your findings.

What does a data business analyst do?

A business data analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and understanding of business operations are essential for this role.

What are Business Data Analysts?

Business Data Analysts are professionals who use data to help organizations make informed business decisions. They collect, process, and analyze data to identify trends, patterns, and opportunities for improvement. Business Data Analysts work closely with stakeholders to understand business needs and translate them into actionable insights. Their work often involves creating reports, dashboards, and data visualizations to support strategic planning.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but Business Data Analysts are still essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and programming, making analysts more valuable in managing and contextualizing AI outputs.

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in a data analyst role depends on skills such as data analysis, statistical knowledge, and proficiency with tools like Excel, SQL, or Python, regardless of personality type.

How does a Business Data Analyst typically collaborate with other departments within an organization?

Business Data Analysts work closely with a wide range of departments, such as marketing, finance, operations, and IT, to identify data-driven solutions for business challenges. They often participate in cross-functional meetings to understand stakeholder requirements, translate business needs into analytical tasks, and present actionable insights. Effective communication and collaboration are essential, as analysts must ensure their findings are understood by both technical and non-technical team members. This collaborative approach helps drive informed decision-making and aligns data initiatives with organizational goals.

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

To thrive as a Business Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a solid understanding of business processes, usually supported by a degree in business, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and spreadsheet software, along with certifications like CBDA or CAP, is highly valued. Exceptional problem-solving abilities, attention to detail, and clear communication skills set top performers apart in this role. These skills and qualifications are essential for accurately interpreting data, delivering actionable insights, and driving informed business decisions.
What cities are hiring for Business Data Analyst jobs? Cities with the most Business Data Analyst job openings:
What are the most commonly searched types of Business Data Analyst jobs? The most popular types of Business Data Analyst jobs are:
Who are the top companies hiring for Business Data Analyst jobs? The top employers for Business Data Analyst jobs are:
What states have the most Business Data Analyst jobs? States with the most job openings for Business Data Analyst jobs include:
Infographic showing various Business Data Analyst job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 23% Full Time, 73% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Other

Posted 24 days ago


Job description

Company Description

Miracle Software Systems, a financially stable private firm founded in December 1994, is an end-to-end Business Integration & SOA specialist firm providing services to help both large & mid-sized businesses transition their IT to a service-oriented architecture. We offer both architectural & implementation services. We have deep industry expertise in multiple vertical industries such as Banking & Financial Services, Insurance, Healthcare & Life- sciences, Retail, Telecom, and Manufacturing.

We are well established, having a presence in 5 continents around the globe and been serving the industry for the past 20 years. Given our focus on Integration & SOA, we are more nimble, flexible, and quicker in delivering solutions to our clients and given our deep industry expertise can tailor our services & solutions around your needs. We are also able to support multiple vendor stacks such as IBM, SAP, and Oracle.

Qualifications
         Manage master data, reference data, metadata, content and document management systems and business data requirements
Server as business steward of the metadata repository, including related enterprise processes related to its use. Contribute content to and maintain the repository. Serve as the main point of contract for users of the repository for non-technical concerns.
Create and maintain training curriculum for metadata repositories including how-to, standards, and best practices. Contribute to all training material and documentation.
Partner with the Item Data Governance Council to define and maintain enterprise business data management policies.
Provide guidance on non-technical changes to metadata repository with data owners, metric owners, and Client Technology.
Asses and analyze the non-technical impacts of any data policy changes on the metadata repository. Work with Client Technology to create a full impact analysis (technical and non-technical). Work with Corporate Information Security (CIS) on requirements for protecting data.
Manage implementation and administration of data policy changes from a non-technical standpoint.
Audit and identify (non-technical) areas that are out of compliance with enterprise master data management processes, and assist in efforts to achieve compliance.
Participate in enterprise master data management vision and strategies, including tools, architecture, and processes related to the capture and exchange of data.
Support the implementation of a standardized reporting vision across the enterprise through ensuring that the metadata repository contains the appropriate metrics with correct source and calculation definitions.
Review and enhance processes that involve master data and reference data including impact analysis in phased implementations.


Additional Information

All your information will be kept confidential according to EEO guidelines.