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Data Analytics Business Analyst Jobs (NOW HIRING)

Perform advanced data modeling, analytics, and trend analysis to identify operational improvement opportunities. * Collaborate with stakeholders to gather requirements and translate business needs ...

BUSINESS ANALYST (DATA) Location: New York Duration: 9+ months Work Mode: Hybrid (3 days in office) Visa: Due to nature of the job, we can consider only US citizen and Green Card * Experience: Should ...

Exemption Type Exempt (Salaried) Job Requirements EDUCATION Bachelor's degree in Data Analytics, Business, Supply Chain, Statistics, or related field. YEARS OF EXPERIENCE 2-5 years in business ...

A minimum of a bachelor's degree in business, Data Analytics, Information Systems, Economics, Statistics, or a related field. * 5+ years of professional experience as a Data Analyst, Business Analyst ...

A minimum of a bachelor's degree in business, Data Analytics, Information Systems, Economics, Statistics, or a related field. * 5+ years of professional experience as a Data Analyst, Business Analyst ...

A minimum of a bachelor's degree in business, Data Analytics, Information Systems, Economics, Statistics, or a related field. * 5+ years of professional experience as a Data Analyst, Business Analyst ...

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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 Jul 4, 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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but Data Analytics Business Analysts play a crucial role in interpreting data, providing insights, and making strategic recommendations. Their skills in understanding business context, communicating findings, and applying domain knowledge remain essential, even as AI advances. Therefore, AI is more likely to augment rather than fully replace data analysts.

Can a data analyst do Business Analyst?

A Data Analytics Business Analyst role involves analyzing data to support business decisions, and some data analysts can transition into business analysis if they develop skills in requirements gathering, process modeling, and stakeholder communication. While both roles share data skills, business analysts often focus more on understanding business needs and facilitating solutions, sometimes requiring certifications like CBAP or PMI-PBA. The ability to perform both roles depends on individual experience and training in areas such as project management and business process analysis.

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 old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals transition into data analytics later in their careers by gaining relevant certifications and experience, making age less relevant than skills and adaptability.

What are the top 3 skills for a Business Analyst?

A Data Analytics Business Analyst should have strong analytical skills to interpret data effectively, proficiency in data visualization and reporting tools like Excel, Tableau, or Power BI, and excellent communication skills to convey insights clearly to stakeholders. Additionally, knowledge of SQL and understanding of business processes are highly valuable in this role.
More about Data Analytics Business Analyst jobs
What cities are hiring for Data Analytics Business Analyst jobs? Cities with the most Data Analytics Business Analyst job openings:
What states have the most Data Analytics Business Analyst jobs? States with the most job openings for Data Analytics Business Analyst jobs include:
Business Analyst (Fraud Analytics & Investigative Support)

Business Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 8 days ago


Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Business Analyst to support advanced fraud analytics and investigative initiatives for a federal oversight organization. This individual will serve as the bridge between Government stakeholders and multidisciplinary technical teams by gathering requirements, documenting investigative and analytical use cases, and translating mission objectives into actionable technical requirements.
Working closely with Project Managers, Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Government stakeholders, the Business Analyst will ensure analytical solutions align with operational priorities, support fraud detection and program integrity objectives, and deliver meaningful value to investigators and oversight organizations.
The ideal candidate combines strong business analysis skills with an understanding of data analytics, investigative workflows, and Agile delivery practices. They are comfortable engaging both technical and non-technical audiences and enjoy transforming complex mission needs into clear, well-defined requirements that enable successful solution delivery.
Key Responsibilities
  • Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
  • Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
  • Support development and refinement of analytic use cases that leverage data science, machine learning, artificial intelligence (AI), graph analytics, dashboards, and investigative reporting.
  • Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
  • Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
  • Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and ensure technical solutions align with mission objectives.
  • Maintain requirements traceability throughout the project lifecycle and verify delivered capabilities satisfy stakeholder expectations.
  • Prepare project documentation, meeting summaries, decision logs, implementation plans, status reports, briefing materials, and stakeholder-ready deliverables.
  • Support quality assurance activities by reviewing deliverables for completeness, consistency, and alignment with documented requirements.
  • Assist in evaluating data sources, analytical capabilities, commercial tools, and technology solutions that support fraud detection and investigative missions.

Required Qualifications
  • Three (3) or more years of experience as a Business Analyst, Product Analyst, Requirements Analyst, Data Analyst, or similar role supporting analytics, data-driven solutions, or government technology programs.
  • Must have experience with Fraud Analysis
  • Experience gathering, documenting, and managing business and functional requirements for technical or analytical solutions.
  • Experience developing user stories, acceptance criteria, business process documentation, workflows, and other project artifacts.
  • Experience supporting Agile software development or analytics teams through sprint planning, backlog management, demonstrations, and iterative solution delivery.
  • Strong organizational skills with the ability to manage multiple priorities while coordinating across technical and business stakeholders.
  • Excellent written and verbal communication skills, including the ability to communicate complex analytical concepts to both technical and non-technical audiences.
  • Strong analytical thinking, problem-solving, and facilitation skills.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
  • Working with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other large-scale public-sector programs.
  • Collaborating with Offices of Inspector General (OIGs), law enforcement organizations, auditors, investigators, or government oversight stakeholders.
  • Supporting multidisciplinary delivery teams that include Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Project Managers.
  • Working with analytics, business intelligence, machine learning, artificial intelligence (AI), graph analytics, dashboards, or data visualization projects.
  • Understanding data sources, data quality, ETL processes, cloud analytics environments, and enterprise data management concepts.
  • Utilizing collaboration and project management tools such as Jira, Azure DevOps, Confluence, Microsoft Teams, SharePoint, Power BI, SQL, or comparable platforms.
  • Supporting enterprise data governance, data privacy, information sensitivity, and secure handling of government or investigative information.
  • Preparing executive briefings, requirements documentation, implementation plans, process flows, and stakeholder-facing communications for Government customers.

What We're Looking For
We're looking for a Business Analyst who enjoys bringing people, data, and technology together to solve complex mission challenges. The ideal candidate is equally comfortable facilitating discussions with Government stakeholders, collaborating with technical teams, and documenting requirements that enable innovative fraud analytics solutions. They are curious, organized, and mission-focused, with the ability to translate investigative and operational needs into actionable work that helps protect the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.