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Business Analyst Data Science Jobs (NOW HIRING)

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Apply insights from data analysis to guide the development of business initiatives. * Apply various ...

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

... 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 ...

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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 ...

Premise Health

Senior Data Science Analyst

Brentwood, TN · On-site

$100K - $130K/yr

Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or ... a related STEM field; or completion of an accredited data science or applied AI program * 5+ years ...

Cymertek

Data Analyst

Chantilly, VA · On-site

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Cymertek

Data Analyst

San Antonio, TX · On-site

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Daikin Comfort

Data Scientist, Level 2

Waller, TX · On-site

Required : • 3-5 years of work experience in a Marketing / Consulting / Business Analyst / Data Science role • Strong analytical skills with attention to detail; strong knowledge of statistical ...

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

As of May 31, 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.

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.
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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 May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.
Business Analyst (Data Analytics & Reporting) - 127070

Business Analyst (Data Analytics & Reporting) - 127070

TriOptus LLC

Plano, TX • On-site

Full-time

Posted 27 days ago

Job description

Top skills:
  • Experience with Data mining, data science
  • More data focus than a typical business analyst. They'll actually be touching the tools and writing the queries.

Description:
  • The Data Analytics and Reporting Team (DART), which is aligned under the Chief Operations Officer in Consumer and Community Banking (CCB), provides analytics and reporting solutions to business partners across Centralized Transaction Operations (CTO). The DART team leverages a broad technology suite to implement automated solutions and deliver data driven insights.

Qualifications:
  • Minimum 3-5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvements
  • Bachelor's degree in Business or related field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science)
  • Demonstrated experience with statistical and/or forecasting methodologies for purposes of conducting analysis to drive business decisions
  • Technical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx)
  • Extensive knowledge of database design, Hadoop data architecture and tools, and relational database principles
  • Excellent verbal and written communication skills - ability to summarize findings into concise, high level points geared towards the audience and visually depict key data and findings
  • Demonstrated ability to positively interface with other departments, colleagues, senior management and external customers is required
  • Strong attention to detail and accuracy - proven ability to produce quality results timely
  • Proven ability to prioritize and work on multiple projects simultaneously with minimal supervision
  • Experience within the banking industry preferred.

Key Responsibilities:
This role will be responsible for supporting day-to-day operations while identifying opportunities to streamline, automate, and enhance the information provided to our business partners to improve operational efficiencies.
  • Working with business leaders to identify analytics opportunities
  • Determining data needs/sources, extraction methods, and reporting frameworks
  • Building advanced analytical capabilities with a focus on improving business decisions and actions within CTO
  • Providing proactive, real-time analytics to anticipate and enhance the customer's experience and decision-making capabilities
  • Focusing on closure of control gaps, reduction of manual controls, automation of manual processes, reduction of handoffs, and increasing operational efficiency with dashboards
  • Leveraging data mining, data manipulation, and analytics skills to solve business problems, create opportunities and identify potential analytical strategies
  • Translating high-level operational business needs into actionable intermediate or complex design analysis
  • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements
  • Optimizing business results and client satisfaction through advanced research, analytic tools and techniques.
  • Pursuing opportunities where analytics can drive significant operating outcomes - where different decisions should be made and/or where meaningful efficiencies can be implemented
  • Understanding the cost-benefit relationship between solution sophistication and practicality, and striving to produce the fastest and most accurate results.
  • Articulating how the impact of research connects to business priorities
  • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results
This position requires excellent interpersonal skills with the ability to build and maintain key relationships and work well with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.

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