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Business Operations Data Analyst Jobs (NOW HIRING)

The ideal candidate will have a strong background in oil and gas operations data, reporting and ... Business Analysis * Workflow Automation * Problem Solving * Stakeholder Collaboration * Training ...

Data Analyst

Miami, FL ยท Hybrid

... revenue operations data in SaaS environments. Key Responsibilities * Develop and maintain ... Required Skills * 3+ years in data analysis or business intelligence, preferably in SaaS/technology.

In this role, you'll analyze aviation and financial data, support business operations, improve reporting processes, and help drive informed decision-making across the organization. This position ...

In this role, you'll analyze aviation and financial data, support business operations, improve reporting processes, and help drive informed decision-making across the organization. This position ...

Business Operations / Data Analytics Position Summary We are seeking a detail-oriented and data-driven Business Analyst to join the Asset Failure Analysis team at Client. The ideal candidate will ...

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Business Operations Data Analyst information

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$31.5K

$76.8K

$139.5K

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

As of Jun 23, 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 is the difference between a business operations analyst and a data analyst?

A business operations analyst focuses on improving overall business processes, efficiency, and strategy by analyzing operational workflows and implementing solutions. A data analyst primarily examines data sets to identify trends, generate reports, and support decision-making using tools like Excel, SQL, or visualization software. Both roles require analytical skills but differ in scope and focus within an organization.

What is data analysis in business operations?

Data analysis in business operations involves examining and interpreting data to improve decision-making, optimize processes, and identify trends. Business operations data analysts use tools like Excel, SQL, or data visualization software to turn raw data into actionable insights that support strategic goals.

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 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.

What does an operations data analyst do?

An operations data analyst collects, analyzes, and interprets data related to business processes to improve efficiency and decision-making. They use tools like Excel, SQL, or data visualization software to identify trends, generate reports, and support strategic initiatives within an organization.

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 does a business operations analyst do?

A business operations analyst evaluates and improves company processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and collaborate with different departments to optimize operational performance. Strong analytical skills and understanding of business metrics are essential for this role.
What states have the most Business Operations Data Analyst jobs? States with the most job openings for Business Operations Data Analyst jobs include:
Infographic showing various Business Operations Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $76,800 per year, or $36.9 per hour.

Business Operations and Financial Analyst

T45 Labs

Santa Clara, CA โ€ข On-site

$7.5K/wk

Contractor

PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Business Operations and Financial Analyst
Company: T45 Labs
Location: Hybrid / Santa Clara, CA
Engagement Type: Part-time 1099 Consulting Engagement
Duration: Initial 3-6-month engagement
Schedule: Approximately 20 hours per week
Compensation: $7,500 per month as a 1099 independent contractor
About T45 Labs
T45 Labs builds and funds acquisition-ready cardiovascular companies by de-risking breakthrough technologies and steering them through clinical and regulatory milestones. We partner with experienced physicians and entrepreneurs to identify unmet clinical needs and bring differentiated solutions to market, providing capital, strategy, and operational support while giving founders the space to innovate.
About the Role
T45 Labs is seeking a Business Operations and Financial Analyst for a part-time consulting engagement. This is a hybrid business and finance analyst role that moves between operational data analysis and financial reporting to give T45 Labs and its portfolio companies decision-ready numbers, models, dashboards, and reporting.
Reporting to the Sr. Director H.R. and Operational Strategy, this person will support both T45 Labs corporate operations and portfolio companies under a shared-services model. The right consultant will be comfortable building financial models, pulling and validating data, preparing board and investor materials, maintaining KPI dashboards, and translating messy inputs into clear, useful recommendations.
This is a hands-on role. We need someone who can work independently, move quickly, and bring structure without needing everything handed to them in a bow.
Responsibilities
โ€ข Move fluidly between business operations analysis and financial reporting as priorities shift across projects, supporting both T45 Labs corporate and portfolio companies under a shared-services model.
โ€ข Build and maintain financial models in Excel, including operating models, scenario analyses, and driver-based forecasts, using advanced formulas, pivot tables, and Power Query for repeatable, automated workflows.
โ€ข Prepare board and investor reporting packages, translating raw operational and financial data into clear narratives, exhibits, and metrics for leadership and external stakeholders.
โ€ข Design and maintain KPI dashboards that track operational and financial performance across multiple entities, keeping data current and decision-ready.
โ€ข Own the budgeting and forecasting cycle, partnering with functional leaders to build budgets, track variances, and refresh forecasts as conditions change.
โ€ข Perform multi-entity consolidation across portfolio companies and the corporate parent, reconciling intercompany activity and ensuring consistency across reporting.
โ€ข Pull, join, and validate data from accounting systems and databases using SQL and direct system queries, then transform it into analysis-ready datasets.
โ€ข Analyze business operations data to surface trends, inefficiencies, and opportunities, then frame findings into recommendations for operational and financial decisions.
โ€ข Maintain financial reports and reconciliations sourced from NetSuite or QuickBooks, ensuring accuracy and timeliness across entities.
โ€ข Document analytical methods, model assumptions, and reporting processes so work is transparent, auditable, and repeatable.
โ€ข Partner with finance, operations, leadership, and portfolio company teams to support reporting, planning, analysis, and business decision-making.
Requirements
โ€ข 3 to 6 years of experience in a business operations, business analyst, financial analyst, FP&A, or other hybrid analytical role supporting business decision-making.
โ€ข Startup or early-stage company experience is required, with comfort navigating ambiguity, shifting priorities, incomplete data, and lean resources.
โ€ข Genuine advanced Excel proficiency, including complex formulas, pivot tables, full financial modeling, and Power Query or comparable automation. This is a core, tested competency, not a nice-to-have.
โ€ข Demonstrated ability to switch between operational data analysis and financial reporting depending on the project at hand.
โ€ข Working proficiency in SQL for querying, joining, and validating data from source systems.
โ€ข Hands-on experience with an accounting system such as NetSuite or QuickBooks.
โ€ข Experience with multi-entity environments, consolidation, and intercompany reconciliation.
โ€ข Track record of producing board-level, investor-grade, or executive-ready reporting and stakeholder-ready deliverables.
โ€ข Strong analytical judgment, attention to detail, and ability to translate numbers into clear recommendations.
โ€ข Ability to manage multiple priorities across corporate and portfolio company needs while maintaining accuracy and context.
โ€ข Strong written and verbal communication skills, with the ability to explain financial and operational information clearly to non-finance audiences.
โ€ข We hire for demonstrated skill rather than credentials. No specific degree is required, though relevant education, certifications, or training in finance, accounting, business analytics, economics, data analytics, or a related field are welcome.
Preferred Qualifications
โ€ข Experience in a venture studio, startup incubator, private equity-backed company, medical technology company, or multi-company shared-services environment.
โ€ข Experience supporting board reporting, investor updates, fundraising materials, or leadership operating reviews.
โ€ข Familiarity with dashboarding or visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms.
โ€ข Comfort working in regulated or technical environments where accuracy, documentation, and traceability matter.
Location and Schedule
This is a part-time consulting engagement expected to average approximately 20 hours per week. The role is anticipated to operate in a hybrid model, with onsite presence in Santa Clara, CA as needed for leadership meetings, reporting cycles, planning sessions, and portfolio company priorities.
Compensation
This engagement will pay $7,500 per month as a 1099 independent contractor, based on an expected schedule of approximately 20 hours per week.
The initial engagement is expected to run 3 to 6 months, subject to business needs and mutual agreement.
Independent Contractor Classification
This is a 1099 independent contractor engagement and is not a full-time employment position. As an independent contractor, the consultant will not be eligible for employee benefits, paid time off, unemployment insurance, workers' compensation coverage, or other benefits provided to employees of T45 Labs.
The consultant will be responsible for all applicable federal, state, and local taxes, insurance, and other obligations associated with independent contractor status.
Work Authorization
Candidates must be legally authorized to work in the United States. At this time, T45 Labs is unable to sponsor employment visas or permanent residency applications.
Equal Opportunity Statement
T45 Labs is an Equal Opportunity Employer and is committed to providing equal opportunity in all aspects of its business relationships. We consider qualified candidates and consultants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, veteran status, or any other protected status under applicable federal, state, or local law.
Third-Party Recruiters
T45 Labs does not accept unsolicited resumes or candidate submissions from third-party recruiters, staffing agencies, search firms, or other external recruiting partners unless a written agreement is in place with T45 Labs. Any unsolicited resumes submitted without such an agreement will be considered the property of T45 Labs, and no fee will be paid in the event the candidate is hired.
This version is clean for posting. No accommodation block, and the third-party recruiter notice is where it belongs - at the bottom, like the "keep your hands off my candidates" fence.
Requirements
Benefits