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Data Analytics Business Analyst Jobs (NOW HIRING)

Guru Schools

Business Analyst

Pittsburgh, PA · On-site

Strong understanding of business process mapping, data analytics, and system documentation. Familiarity with SQL, Python, or Java for data analysis or automation tasks is a plus. Excellent analytical ...

CIBC

Sr. Analyst, Business Analytics

Chicago, IL · On-site

$95K - $123K/yr

This role combines expertise in data analytics, business process improvement, and data governance to support strategic decision-making, regulatory compliance, and continuous improvement. The Sr. ...

FOCUSPOINT

AI Business Analyst

Franklin, TN · On-site

$35 - $53/hr

Job Title: AI Business Analyst Location: Varies by client Employment Type: Remote, Hybrid, or ... data analytics, or AI/ML project delivery * Strong understanding of AI concepts such as NLP ...

Diverse Lynx

Business Analyst

Cleveland, OH

Data analysis, business analysis, integration and file transmission Skills: Experience in database and datasets, Data analysis or business analysis, Good understanding of integration/ file ...

New

Pilot Company

Analyst II, Business Analytics

Knoxville, TN · On-site

$62K - $79K/yr

Conduct comprehensive research and analysis of enterprise-wide data, including exploratory data analysis (EDA), data mining, and statistical analysis, to support business planning, operational ...

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Data Analytics Business Analyst information

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

As of Jun 13, 2026, the average hourly pay for data analytics business 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.

Can I learn data analyst in 3 months?

Becoming a data analyst within three months is possible with intensive study, focusing on core skills like data manipulation, visualization, and tools such as Excel, SQL, and Tableau. However, gaining proficiency typically requires consistent practice, real-world projects, and possibly certification courses to build a strong foundation for the role.

What does a Data Analytics Business Analyst do?

A Data Analytics Business Analyst is responsible for interpreting data and turning it into actionable insights that help organizations make informed business decisions. They collect, process, and analyze large datasets, often using statistical tools and data visualization techniques. These analysts work closely with stakeholders to understand business needs and translate them into data-driven recommendations. Their role bridges the gap between IT and business by ensuring that data solutions align with organizational goals.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, the need for human judgment, domain expertise, and interpretation remains essential in data analytics roles.

Can a data analyst do business analyst?

A data analyst can perform some tasks of a business analyst, such as analyzing data to support decision-making, but the roles have different focuses. Business analysts typically require skills in requirements gathering, process modeling, and stakeholder communication, while data analysts focus on data manipulation, visualization, and statistical analysis. Transitioning between the roles may require additional training or experience in business processes and project management.

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

AspectData Analytics Business AnalystData Scientist
Required SkillsData analysis, reporting, business understanding, SQL, ExcelAdvanced statistical analysis, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research teams
CertificationsCBAP, CAP, Microsoft Data AnalystCertified Data Scientist, SAS, Python certifications
Industry UsageBusiness intelligence, finance, marketingResearch, AI development, predictive modeling

While both roles involve working with data, Data Analytics Business Analysts focus on interpreting data to inform business decisions using tools like SQL and Excel. Data Scientists develop complex models and algorithms, often requiring advanced programming and statistical skills. The roles overlap in data handling but differ in depth of technical expertise and application scope.

How does a Data Analytics Business Analyst typically collaborate with cross-functional teams to deliver insights?

A Data Analytics Business Analyst regularly works alongside stakeholders from departments such as IT, marketing, finance, and operations. They gather requirements, translate business needs into data queries or dashboard requests, and present actionable insights in a clear, business-friendly manner. Effective communication and strong interpersonal skills are essential, as the analyst often facilitates meetings, clarifies data-driven recommendations, and ensures alignment between technical teams and business objectives. This collaborative environment helps ensure that analytics projects are both feasible and impactful.

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

To thrive as a Data Analytics Business Analyst, you need strong analytical skills, business acumen, and a solid grasp of statistics, usually supported by a degree in business, statistics, or a related field. Proficiency with data analytics tools such as SQL, Tableau, Power BI, and familiarity with programming languages like Python or R, as well as certifications like CBDA or CAP, are commonly required. Excellent communication, critical thinking, and stakeholder management skills help translate complex data insights into actionable business strategies. These competencies are crucial for bridging the gap between data and decision-making, ensuring organizations can leverage analytics for improved performance.

Is 40 too late for data science?

For a Data Analytics Business Analyst, transitioning into data science at age 40 is feasible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications and practical experience, demonstrating that age is not a strict barrier in the field.
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Data Analytics Business Analyst jobs near you
Data Analytics Business Analyst

Data Analytics Business Analyst

Dollartree

Chesapeake, VA

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Dollar Tree rating

4.4

Company rating: 4.4 out of 10

Based on 2,432 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers

Job description

Job Description: Supply Chain - Business Analyst

Overview:

At Dollar Tree, we strive for exceptional collaboration between talented individuals who exhibit our values and execute our mission. Everything we do starts with our people. We look for people who offer inspiration, innovation and have an internal drive for results.

The Supply Chain Business Analyst is responsible for supporting Supply Chain Operations optimization through project coordination, development of business requirements, data analysis, and reporting solutions. This role partners with cross-functional teams to implement data-driven solutions. The ideal candidates possess strong analytical and communication skills, project management experience, and the ability to translate business needs into actional insights and operational improvements.

Your day-to-day duties include, but are not limited to, the following:

Reporting Solutions & Project Management:

  • Create and review business requirements in a variety of functional areas including (but not limited to) DC Operations (Distribution), Transportation, Network Planning, Inventory Management Flow Planning and Inventory Management

  • Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget

  • Create reporting solutions utilizing Data Visualization tools that identify trends and data insights for key stakeholders (i.e. Tableau or Power BI)

  • Deliver technical documentation for all steps of the project life cycle

  • Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions

Technology, Infrastructure, & Data Management:

  • Organize and analyze Big Data to create shareholder value using technologies such as data lakes, next-gen BI, and enterprise data management systems

  • Oversee and maintain organizational database management systems, including SQL Server and Alteryx Server, ensuring reliability, security, and optimal performance

  • Evaluate and adopt advancements in analytics, AI, and emerging digital tools to enhance enterprise-wide performance

Minimum Requirements:

  • Bachelor's degree in business administration or related field

  • 3+ years of experience in Data & Analytics Transformation, Process Automation, ML/AI

  • Proven project management, business, and people development experience

  • Working knowledge of business intelligence reporting tools (Power BI / Tableau, SQL, Alteryx, Google Big Query, Business Objects, etc.)

  • Advanced proficiency in Microsoft Excel and PowerPoint

  • Demonstrated ability to work creatively and analytically in a problem-solving environment

  • Excellent interpersonal skills and ability to foster a collaborative, team-oriented environment

Your Perks and Benefits:

We offer a wide variety of rewards to support your health, wealth, and mental well-being. In addition to medical, pharmacy, dental, and vision insurance, we offer:

  • Employee Assistance Program

  • Retirement plans with matching contribution

  • Employee Stock Purchase Program

  • Educational Assistance

  • Access to PerkSpot, an employee discount platform for goods and services And much more!

Who We Are:

At Dollar Tree, we make a difference in the lives of our customers every day by exceeding their expectations and delivering value - it's what our business is built on. Our associates play an important role in this commitment by embracing change and showing up for their teams and their communities.

We see an exciting path forward as our company continues to grow and transform - and we know that this path starts with you.

Join our team today and discover The Value of You.

Full time500 Volvo Parkway,Chesapeake,Virginia 23320Supply Chain SupportDollar Tree

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About Dollar Tree

Sourced by ZipRecruiter

With Dollar Tree and Family Dollar, we put value front and center for our customers. We do this by providing our customers with quality merchandise, amazing values, convenience, and a fun shopping experience. Whether you’re looking for the thrill of the hunt at Dollar Tree or shopping for your favorite brands at Family Dollar, you’re sure to find savings on a great selection of merchandise in our stores.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Chesapeake, VA, US

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