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Business Operations Data Analyst Jobs (NOW HIRING)

CreditOne

Operations Data Analyst

Las Vegas, NV · On-site

The Operations Data Analyst I will focus on improving and maintaining customer service standards through the analysis of diverse business systems and processes. The individual in this position will ...

US Conec, Ltd.

Operations Data Analyst

Hickory, NC · On-site

Analyze manufacturing, procurement, inventory, and supply chain data from ERP systems and other business applications to support operational and financial objectives * Develop, maintain, and monitor ...

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

The Operations Data Analyst will play a critical role in advancing fairlife's data driven ... Rewards & recognition, matching gifts, free product, and Business Resource Groups fairlife's nour ...

Navitas Semiconductor

We are seeking an experienced Data Analyst in Sales Operations department to manage sales data ... Ability to translate complex sales data into clear business narratives and automate repetitive ...

Imea

Trade Operations & Data Analyst

San Francisco, CA · On-site

$150 - $200/hr

The Trade Operations & Data Analyst will be a key member of the Investment Operations department with a primary focus on security reference data, characteristics data and overall asset data quality.

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Business Operations Data Analyst information

See salary details

$31.5K

$76.8K

$139.5K

How much do business operations data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for business operations data analyst in the United States is $76,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $88,500.00 per year, depending on experience, location, and employer.

What does a business operations data analyst do?

A Business Operations Data Analyst is responsible for collecting, analyzing, and interpreting data to help organizations optimize their business processes and improve efficiency. They use various data analysis tools and techniques to identify trends, generate reports, and provide actionable insights to stakeholders. Their work supports decision-making, streamlines operations, and often involves collaborating with different departments to implement data-driven solutions.

How does a business operations data analyst typically collaborate with other departments to drive business improvements?

Business Operations Data Analysts frequently work cross-functionally, partnering with teams such as finance, sales, and IT to identify operational challenges and develop data-driven solutions. They gather requirements from stakeholders, translate business needs into analytical queries, and present actionable insights through reports or dashboards. This collaborative approach ensures that recommendations are aligned with departmental objectives and that data initiatives are effectively implemented to support organizational growth.

What are the key skills and qualifications needed to thrive as a business operations data analyst, and why are they important?

To thrive as a Business Operations Data Analyst, you need strong analytical skills, proficiency in data analysis, and a relevant degree in business, statistics, or a related field. Expertise in tools such as Excel, SQL, Tableau, or Power BI, and familiarity with ERP or CRM systems are typically required. Critical thinking, attention to detail, and effective communication help translate complex data into actionable insights for stakeholders. These skills are crucial for optimizing business processes, supporting strategic decision-making, and driving organizational efficiency.

What is the difference between Business Operations Data Analyst vs Business Analyst?

AspectBusiness Operations Data AnalystBusiness Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; certifications like CBAP or CAP are commonBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA are common
Work EnvironmentData-driven teams within operations, finance, or logistics departmentsCross-functional teams focusing on process improvement and project management
Employer & Industry UsageUsed in industries like finance, retail, and logistics for operational insightsUsed across industries for strategic planning and process optimization

The Business Operations Data Analyst primarily focuses on analyzing operational data to improve efficiency, while the Business Analyst concentrates on understanding business needs and recommending solutions. Both roles require similar credentials and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What states have the most Business Operations Data Analyst jobs?

States with the most job openings for Business Operations Data Analyst jobs include:

What are popular job titles related to Business Operations Data Analyst jobs?

For Business Operations Data Analyst jobs, the most frequently searched job titles are:

Business Operations Data Analyst jobs near you
Infographic showing various Business Operations Data Analyst job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $76,800 per year, or $36.9 per hour.

Business Operations & Data Analyst

Digital Asset

New York, NY • On-site

Full-time

Posted 7 days ago

Job description

About the role:

We're hiring the first Analyst on our newly formed Operations team, reporting directly to the Director of Strategy & Operations. This is a ground-floor opportunity to help define how a fast-growing blockchain infrastructure company runs - from executive governance and cross-functional workflow management to the data and AI systems that support company-wide decision making.

You'll work across Finance, Legal, Product, and Engineering, and you'll have direct exposure to how a Series F, venture-backed crypto infrastructure company operates at the executive level. We're looking for someone early in their career who is hungry to learn, comfortable owning the unglamorous details as well as the strategic ones, and excited to bring modern data and AI tools into how the team works.

Responsibilities:

  • Support executive governance coordination by managing agendas, materials, follow-ups, and documentation with a high level of accuracy and discretion.
  • Own and manage multiple cross-functional workflows simultaneously, keeping projects moving, surfacing blockers, and following through on the operational details that keep the team on track.
  • Partner with the Director of Strategy & Operations to identify workflows across the team - reporting, intake, documentation - that can be improved or automated using AI tools, and help build and maintain those solutions.
  • Build and maintain SQL-based queries, dashboards, and reporting views (e.g., in BigQuery and connected visualization tools) that turn operational and on-chain network data into clear, decision-ready reporting.
  • Aggregate and analyze data from both internal systems and blockchain/network sources to support leadership reporting, trend identification, and ad hoc analysis.
  • Take on research, documentation, process cleanup, meeting logistics, with scope and ownership growing quickly with the business.
  • Conduct ad hoc research on industry developments - capital markets infrastructure, crypto/web3 trends, regulatory shifts - that inform the Operations team's priorities.

What We're Looking For:

  • 2-4 years of professional experience; prior internships or early roles in operations, finance, consulting, or a data-heavy function are a plus.
  • Comfort with SQL or databases, and real interest in data visualization and analytics.
  • Hands-on familiarity with AI tools (e.g., ChatGPT, Claude) and real curiosity about applying them to real workflows, not just using them casually.
  • A real interest in capital markets, blockchain infrastructure, crypto, and web3 - you follow the space and want to build a career in it.
  • Self-driven and highly organized, with the ability to manage multiple competing priorities in a fast-paced, distributed team environment.
  • Strong written and verbal communication skills, and the judgment to handle sensitive or confidential information appropriately.
  • Bachelor's degree in a related field (business, finance, economics, computer science, or equivalent experience).

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