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Business Analyst Data Science Jobs (NOW HIRING)

Mondo

Business Analyst

Houston, TX · On-site

$130/hr

Business Analyst Location-Type: Onsite (Houston, TX) Start Date Is: End of May Duration: Permanent ... Collaborate with data analysts and data scientists to support analytics initiatives * Lead core ...

The Ceres Group

Business Analyst Data SQL

Boston, MA

Business Analyst Data SQL Business Analyst Boston, MA Position Overview: As a member of the IT group, the contract Business Systems Analyst will play a key role in the build out and implementation of ...

Cirrus Aircraft

IT Business Data Analyst Sr

Duluth, MN

$92K - $139K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. * Minimum 5+ years of experience as a Business Analyst, Data Analyst, or Data Governance Analyst ...

Payliance

Business Analyst - Data & Insights

About the Role We are looking for an analyst who can take messy, incomplete data and turn it into clear, actionable business insights, primarily using Excel, BI, and database query tools. You'll work ...

Omni Inclusive

Lead Business Analyst

San Jose, CA

Bachelor's degree in Information Systems, Finance, Business, Data Science, or a related field. 10+ years of experience in a Business Analyst, Systems Analyst, Data Analyst, or similar role. Strong ...

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

As of Jun 15, 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 4% As Needed, 79% Full Time, 4% Part Time, 9% Temporary, and 4% 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.
Business Analyst (Data Program)

Business Analyst (Data Program)

Capstone IT

Kansas City, MO

Other

Posted 10 hours ago

Job description

Job Description We cannot sponsor or work with a third party for this role. Role: Business Analyst - Data Platforms Location: Onsite Duration: Contract Wage: Based on experience Summary Capstone IT is helping our client find a Technology Business Analyst who will bridge the gap between business teams and technical delivery teams focused on enterprise data platforms and data transformation initiatives. This person will gather and refine business requirements, translate them into technical stories and acceptance criteria, and partner closely with engineers, architects, and product owners to deliver scalable data products, pipelines, governance solutions, and modern data platform capabilities.

Top 4 Skills Technical Business Analysis for Data Platforms Data Warehousing / Data Lake / Data Products Experience GCP, Kafka, Confluent, or Apigee Familiarity Agile Requirements Writing & Technical Acceptance Criteria Responsibilities Act as the liaison between business stakeholders, product owners, and engineering teams. Translate business needs into detailed technical requirements and user stories. Support delivery of enterprise data platforms, pipelines, governance, and data product initiatives.

Collaborate with architects and engineers on scalable and compliant data solutions. Help define acceptance criteria for data workflows, APIs, pipelines, and platform capabilities. Support CI/CD processes, observability practices, and data transformation workflows.

Ensure solutions align with data governance, security, scalability, and platform standards. Participate in prioritization discussions and trade-off analysis to keep initiatives on track. Troubleshoot delivery and requirement gaps across technical and business teams.

Qualifications Bachelor's degree or equivalent practical experience 4+ years of technical business analysis experience Strong experience supporting technical data initiatives Background in data warehousing, data lakes, semantic layers, or data products Experience working in Agile environments Ability to write detailed technical requirements and acceptance criteria Familiarity with Jira and Confluence preferred Exposure to GCP, Kafka, Confluent, Apigee, or modern data stack tooling Strong analytical, communication, and problem-solving skills Nice to have: experience supporting CI/CD, observability, or data governance initiatives Please send your resume and salary requirements for immediate consideration. Capstone Consulting is an EEO employer. Capstone website: http://www.capstonec.com/ Like us on Facebook: https://www.facebook.com/CapstoneITStaffingSolutions/ Follow us on Twitter: https://twitter.com/capstone__IT/ Connect with us on LinkedIn: https://linkedin.com/company/capstone-consulting/

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