Finance Data Analyst Jobs
Finance Data Analyst jobs are open across banking, insurance, fintech, and corporate finance at every level from junior analyst to senior and lead, with specializations in financial modeling, business intelligence, and risk analytics. See the openings below and apply to the ones that match your experience.
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Finance Data Analyst (Finance Budget Coordinator)
POSITION DETAILS
Founded in 1971 in Long Island City, Queens , LaGuardia Community College is one of seven community colleges of the City University of New York (CUNY). LaGuardia offers more than sixty associate degree programs and more than fifty workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 24,000 students. More than one-third of LaGuardia’s degree-seeking students are born outside the United States; they come from 136 countries and speak 43 heritage languages. Sixty percent are first-generation college students.
Virtually all LaGuardia students are ethnic minorities (89 percent), 58 percent are women, 27 percent are over the age of 25. Forty-six percent of associate degree students are Hispanic. Upon graduation most students transfer to four-year colleges, typically in CUNY, to complete their baccalaureate degrees. Graduates of career programs such as Nursing, Computer Technology, and Veterinary Technology enter the workforce. LaGuardia ranked fifth among U.S. community colleges in economic mobility – moving low-income students into the middle class and beyond – in studies by Stanford University (2017) and the Brookings Institution (2020). Please visit www.laguardia.edu to learn more.
Under the direction of the Assistant Vice President of Finance and Business, the Finance Data Analyst will support strategic, data-informed financial and operational decision-making across the Finance and Business Office, including Budget, Accounting, Accounts Payable, Purchasing, Bursar, and ACE Finance.
The Finance Data Analyst will serve as an analytical resource to the Assistant Vice President, Directors, and Finance and Business Office staff by collecting, analyzing, and translating financial and operational data into actionable information. The position will assist in developing dashboards, key performance indicators (KPIs), benchmarks, forecasts, and analytical tools that help leadership identify trends, evaluate performance, improve processes, and make informed decisions.
Reporting to the Assistant Vice President of Finance and Business, the Finance Data Analyst is responsible for:
Coordinate and maintain financial and operational dashboards in collaboration with Finance and Business Office leadership, incorporating relevant KPIs, benchmarks, trends, and performance measures;
Work with Directors and managers to identify meaningful performance measures and establish benchmarks that support the evaluation of operations, service delivery, workload, and efficiency;
Analyze financial and operational data to identify trends, patterns, variances, and areas requiring further review, and provide information to leadership to support decision-making and appropriate action; analyze tuition and fee collections, outstanding receivables, payment activity, and related student financial data to identify trends and support strategies to strengthen collections;
Collaborate with Enrollment Management and other college offices to gather and analyze enrollment and student data that may affect tuition revenue, collections, and financial forecasting;
Support budget, revenue, expenditure, and collections forecasting through historical analysis, trend analysis, and development of financial models;
Analyze operational processes and turnaround times in collaboration with area leadership, including measures such as requisition-to-purchase-order processing, invoice-to-payment timelines, transaction volumes, workloads, and other indicators of operational performance; conduct comparative and trend analyses to help leadership assess performance over time and, where appropriate, against internal or external benchmarks;
Assist Directors and managers with ad hoc financial and operational analyses to evaluate issues, identify potential causes, and support management decisions; identify opportunities to automate recurring reports, data collection, reconciliations, and other manual processes to improve efficiency, accuracy, and timeliness;
Review and reconcile data from multiple systems and sources, identify inconsistencies or gaps, and collaborate with appropriate staff to improve data quality, consistency, and reliability;
Provide training, guidance, and hands-on support to Finance and Business Office staff in the effective use of Excel, Access, and other data analysis, reporting, and visualization tools to improve operational efficiency and data literacy;
QUALIFICATIONS
Bachelor's Degree required.
PREFERRED QUALIFICATIONS
Experience in data analysis, financial analysis, institutional research, business analytics, or a related field.
Advanced proficiency in Microsoft Excel, including data analysis, data modeling, and the development of reports and analytical tools.
Experience with data visualization and dashboard development using tools such as Power BI, Tableau, or similar platforms.
Working knowledge of SQL, Python, Power Query, Access, or other database and data analysis tools.
Experience working with large datasets, including combining, cleaning, validating, and analyzing data from multiple sources.
Demonstrated ability to identify trends and develop key performance indicators (KPIs), benchmarks, operational metrics, and other measures of organizational performance.
Strong analytical and problem-solving skills with the ability to translate complex data into clear and actionable information for management.
Experience identifying opportunities to automate, standardize, or streamline recurring reports and manual business processes.
Ability to prepare and effectively communicate reports, presentations, charts, and data visualizations to management and non-technical audiences.
Ability to work collaboratively across multiple functional areas and provide training, technical assistance, or hands-on guidance to staff in the use of Excel and other data analysis and reporting tools.
Experience working in higher education, government, or another complex organization; knowledge of CUNY systems, operations, and data sources is a plus.
CUNY TITLE OVERVIEW
Administers program and unit budgets and related functions.
Processes and maintains data in budget systems
Prepares budgets, projections and financial reports
Collects and reports fiscal information as required, and assists in analyzing financial information
Coordinates with various departments on budget and accounting matters
Monitors systems and operational issues to improve overall workflows
Performs related duties as assigned.
Job Title Name: Finance Budget Coordinator
CUNY TITLE
Assistant to HEO
FLSA
Non-exempt
COMPENSATION AND BENEFITS
$74,764 - $87,784
Salary commensurate with education and experience.
CUNY's benefits contribute significantly to total compensation, supporting health and wellness, financial well-being, and professional development. We offer a range of health plans, competitive retirement/pension benefits and savings plans, tuition waivers for CUNY graduate study and generous paid time off. Our staff also benefits from the extensive academic, arts, and athletic programs on our campuses and the opportunity to participate in a lively, diverse academic community in one of the greatest cities in the world.
HOW TO APPLY
Visit www.cuny.edu, access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information.
Candidates should provide a resume and cover letter.
CLOSING DATE
December 11th, 2026
JOB SEARCH CATEGORY
CUNY Job Posting: Managerial/Professional
EQUAL EMPLOYMENT OPPORTUNITY
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Job ID: 32752
Location: LaGuardia Community College
Job Type: Full-Time
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Who's Hiring



Top Industries Hiring
- Insurance
- Media & Entertainment
- Technology & Software
What Employers Look For
The qualifications that appear most often in finance data analyst jobs.
- Proficiency in SQL for querying financial databases and building reporting pipelines
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Strong knowledge of Excel including financial modeling, pivot tables, and VBA
- Bachelor's degree in finance, economics, statistics, mathematics, or a related field
- Familiarity with financial statements, GAAP principles, and accounting concepts
- Experience with Python or R for data analysis, automation, or statistical modeling
Tips for Your Finance Data Analyst Job Search
Tailor your resume to the posting
Finance data analyst postings vary widely in tool stack. If the job lists SQL and Tableau, your resume needs those exact terms in context, not buried in a skills list. Match the language in each posting to pass automated screening.
Highlight domain-specific analytical work
Generic data analyst experience won't stand out. Emphasize projects tied to revenue forecasting, budget variance analysis, or financial reporting. Hiring managers want to see you've worked with P&L data, not just cleaned datasets.
Apply early to roles that fit
Migrate Mate lists finance data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter for the right seniority level
Finance data analyst postings at banks and insurance firms often require CPA eligibility or three-plus years of domain experience, while fintech roles weight coding skills more heavily. Read requirements carefully before applying so you spend time on realistic fits.
Prepare a case study for the technical screen
Many finance data analyst interviews include a take-home exercise involving messy financial data or a dashboard build. Practice working through revenue or expense datasets end-to-end, narrating your methodology, not just the output.
Negotiate using role-specific leverage
If you hold a CFA, FRM, or have prior experience with GAAP-compliant reporting, name those explicitly when discussing compensation. Specialized finance credentials carry real weight and differentiate you from generalist data candidates.
Finance Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most finance data analysts?
The most active employers for finance data analysts right now are Amazon, JPMorganChase, and Intuit, and the most openings are in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Financial services firms and large corporations with in-house finance teams tend to post the most consistently.
How many finance data analyst jobs are remote?
About 83% of finance data analyst openings are fully remote or hybrid as of November 2026, with remote availability varying significantly by sub-role. Business intelligence and financial reporting roles tend to have more remote flexibility than positions requiring close collaboration with treasury, audit, or compliance teams.
How do you become a finance data analyst?
Start with a degree in finance, economics, statistics, or a related field, then build SQL and Excel skills through coursework or self-study projects. Gain hands-on experience with financial data through internships, freelance work, or personal projects using public datasets. Add a data visualization tool like Tableau or Power BI to your skill set, and consider a finance certification such as the CFA or FRM to strengthen your domain credibility with employers.
Can you get a finance data analyst job with little experience?
Entry-level finance data analyst roles do exist, particularly at fintech startups and mid-size corporations, but you'll need to show concrete technical skills even without formal experience. Build a portfolio with two or three projects using real financial data, such as a budget variance model or a dashboard built on publicly available earnings reports. Internships and business analyst roles at finance-adjacent companies are also strong entry points that hiring managers recognize.
What does the finance data analyst interview process look like?
Most finance data analyst interviews run three to four rounds. The first is typically a recruiter screen covering background and tool familiarity, followed by a technical screen with SQL queries or Excel exercises tied to financial scenarios. Later rounds often include a take-home case study, a presentation of your findings, and a final conversation with the hiring manager or finance team lead focused on domain knowledge and business judgment.
Where can I find and apply to finance data analyst jobs?
You can find and apply to finance data analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience level and tool stack, then apply directly to each one that fits.
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