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Business Analyst Data Science Jobs (NOW HIRING)

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

... Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization ... You'll use your knowledge of healthcare revenue cycle business objectives to identify necessary ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

... Finance, Business Analytics, Data Science, Computer Science, or a related field • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over ...

New

Octagon Talent

Business Analyst

Fort Lauderdale, FL

Octagon Talent Solutions is seeking a qualified Business and Data Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a ...

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Mondo

BA

Houston, TX

$44 - $68/hr

Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Innovcentric LLC

Business Analyst

Albany, NY · On-site

$60/hr

Business Analyst Its a 20hr Week. Albany, NY (Onsite)| $60/hr C2C | Client: State of New York ... Master's in data science/computer science/Business Administration. #Request:apply only if you meet ...

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Business Analyst Data Science information

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

As of Jun 26, 2026, the average hourly pay for business analyst data science 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.

Which is better, BDA or BA?

Business Analysts (BA) focus on understanding business needs and translating them into solutions, while Business Data Analysts (BDA) specialize in analyzing data to support decision-making. Both roles require strong analytical skills, but BDA typically emphasizes data tools like SQL, Excel, and visualization software, whereas BA may focus more on process modeling and stakeholder communication. The better role depends on your interest in data analysis versus business process improvement.

Can a business analyst be a data scientist?

A business analyst can transition into a data scientist role by developing skills in programming, statistical analysis, and machine learning. While both roles analyze data, data scientists typically require more advanced technical expertise and knowledge of tools like Python, R, and SQL. Gaining relevant certifications and experience in data modeling can facilitate this career shift.

What is a Business Analyst Data Science job?

A Business Analyst Data Science job combines data analysis, business acumen, and technical skills to drive data-driven decision-making. Professionals in this role gather, analyze, and interpret data to identify trends, improve operations, and support strategic initiatives. They collaborate with stakeholders to translate business needs into data insights and work with data scientists and engineers to implement solutions. Strong skills in SQL, data visualization, and statistical analysis are essential. This role bridges the gap between business and data science, ensuring actionable insights lead to business growth.

What are the key skills and qualifications needed to thrive in the Business Analyst Data Science position, and why are they important?

To succeed as a Business Analyst Data Science, you need strong analytical skills, statistical knowledge, and business acumen, ideally supported by a degree in business, statistics, or a related field. Expertise in data visualization tools (such as Tableau or Power BI), SQL, Excel, and familiarity with programming languages like Python or R—as well as certifications like CBAP or data analytics certificates—are often highly valued. Effective communication, critical thinking, and problem-solving abilities distinguish top performers in the role. These competencies enable you to bridge the gap between data-driven insights and business strategy, ensuring stakeholders can make informed decisions.

What does a typical day look like for a Business Analyst Data Science professional?

A typical day for a Business Analyst Data Science professional involves gathering and analyzing data, collaborating with cross-functional teams, and translating complex data findings into actionable business recommendations. You’ll likely participate in meetings to understand business needs, work on data extraction and cleaning, and develop reports or dashboards to share insights with stakeholders. Regular communication with both technical teams (such as data engineers) and business users is essential to align data projects with organizational goals. This dynamic environment requires balancing multiple projects and adapting to shifting business priorities. The role offers ample opportunities to develop expertise in both analytics and business processes.

Is 40 too late for data science?

A Business Analyst transitioning into data science at age 40 can succeed by developing skills in programming, statistics, and machine learning, often through online courses or certifications. Many professionals enter data science later in their careers and find success by leveraging their experience and continuously updating their technical knowledge.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Business analysts often use this rule to focus on the most impactful variables or data subsets to improve model performance and decision-making.
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Business Analyst Data Science jobs near you
Infographic showing various Business Analyst Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.
Quality Business Analyst (Data Analyst)

Quality Business Analyst (Data Analyst)

Hexcel Corporation

Salt Lake City, UT • On-site

Full-time

Posted 23 days ago

Hexcel rating

7.5

Company rating: 7.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and engineered core. We invite you to join the Hexcel team at various manufacturing sites, sales offices and R&D centers around the globe.Become a part of the "strength within."

Hexcel is currently seeking a Quality Business Analyst (Data Analyst) for our Salt Lake City, UT, USA location.

The selected individual will be responsible for but not limited to the following obligations:

  • Develop and maintain process performance metrics and scalable data models to support manufacturing excellence
  • Analyze large datasets to identify trends, patterns, and improvement opportunities
  • Build and maintain Power BI dashboards and automated reporting solutions for KPIs (e.g., scrap, warranty, PPM)
  • Extract and integrate data from ERP, MES, LIMS, and other business systems
  • Partner cross-functionally (quality, operations, planning, purchasing, logistics) to deliver data-driven insights
  • Support cross-site analytics initiatives, including reporting standardization and automation
  • Assist sites with dashboard development, reporting tools, and business analyst support/training
  • Collaborate with IT and Quality teams to enhance global reporting capabilities and system integrations
  • Support system updates and configurations (e.g., LIMS upgrades, MES enhancements, automated certifications)
  • Perform ad hoc analysis and lead special projects to drive business solutions

Qualifications:

  • Bachelor's degree required
  • 5+ years of experience in data analytics, reporting, or a related field (manufacturing preferred)
  • Experience with SQL, Python, or R
  • Proficiency in Microsoft tools such as Excel, Power BI, Tableau, Power Query, and Power Apps
  • Experience working with large datasets and multiple data sources (ERP, MES, LIMS, etc.)
  • Strong analytical, problem-solving, and organizational skills
  • Ability to manage priorities and meet deadlines in a fast-paced environment
  • Strong written and verbal communication skills
  • Ability to collaborate cross-functionally and support global teams

Eligible candidates must be a: U.S. citizen, U.S. national, person lawfully admitted for permanent residence, temporary resident under sections 210(a) or 245(A) of the Immigration and Nationality Act, person admitted in refugee status, or person granted asylum. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.

Hexcel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, status as a protected veteran, or any other protected class.

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