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Data Analytics Finance Jobs (NOW HIRING)

Vizient, Inc.

Data & Financial Analytics Lead

Irving, TX · On-site

$77K - $135K/yr

Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired. * 7 or more years of relevant experience required. * Advanced ...

Vizient

Data & Financial Analytics Lead

Chicago, IL · On-site

$77K - $135K/yr

Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired. * 7 or more years of relevant experience required. * Advanced ...

Cynet Systems

Finance Data Analyst

Santa Clara, CA · On-site

$77 - $87/hr

Experience in data analytics and data modeling. * Experience in financial analysis and planning. * Experience working with financial data and reporting systems. * Experience using automation and AI ...

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How much do data analytics finance jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data analytics finance in the United States is $85,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Data Analytics Finance, and how can they be addressed?

Professionals in Data Analytics Finance often encounter challenges such as integrating data from multiple financial systems, ensuring data accuracy, and communicating insights to non-technical stakeholders. Addressing these challenges involves staying adept with data cleaning methods, collaborating closely with IT and business teams, and developing strong data visualization and storytelling skills. Regular training on emerging analytics tools and fostering open communication within cross-functional teams can also significantly enhance efficiency and impact.

What is Data Analytics in Finance?

Data analytics in finance refers to the process of collecting, processing, and analyzing financial data to make informed business decisions. It involves using statistical tools and software to uncover trends, predict future outcomes, and identify risks or opportunities in financial operations. Professionals in this field help organizations optimize their financial strategies, improve performance, and ensure compliance. Data analytics is increasingly important in finance as it allows companies to gain deeper insights from large volumes of financial data.

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

To thrive as a Data Analytics Finance professional, you need strong quantitative analysis skills, financial acumen, and typically a degree in finance, economics, mathematics, or a related field. Proficiency with data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate financial analysis, data-driven decision-making, and effective collaboration within finance teams.
More about Data Analytics Finance jobs
What job categories do people searching Data Analytics Finance jobs look for? The top searched job categories for Data Analytics Finance jobs are:
Infographic showing various Data Analytics Finance job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.
Data & Financial Analytics Lead

Data & Financial Analytics Lead

Vizient, Inc.

Irving, TX • On-site

$77K - $135K/yr

Full-time

Posted 20 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will lead complex data and financial analytics initiatives that drive strategic decision-making and measurable business outcomes. You will manage high-impact projects, apply advanced modeling techniques to large and diverse datasets, and partner with senior leadership to evaluate and improve business processes. You will deliver customized insights, influence executive decisions, and guide team members in applying best practices to support organizational priorities and client needs.
Responsibilities:
  • Lead complex data and financial analytics projects with moderate risk and resource requirements.
  • Deliver customized analyses using internal and external structured and unstructured datasets.
  • Apply advanced statistical and financial modeling techniques to large data sets.
  • Identify gaps in reporting and analytical processes and implement improvements.
  • Evaluate business processes and recommend strategic enhancements in partnership with senior leadership.
  • Influence executive decision-making through clear presentation of data-driven insights.
  • Facilitate stakeholder meetings to gather requirements and assess current business processes.
  • Develop professional recommendations and present preferred courses of action to leadership and clients.
  • Guide and mentor team members on analytical methodologies and best practices.
  • Build and maintain strong relationships with internal leaders and clients to align on desired outcomes.

Qualifications:
  • Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired.
  • 7 or more years of relevant experience required.
  • Advanced proficiency in data analytics, financial modeling, and statistical analysis techniques required.
  • Experience with healthcare supply chain analytics, including knowledge of key supply chain metrics (e.g., cost savings, utilization, contract compliance, and performance benchmarking), required.
  • Experience leading cross-functional analytics initiatives and working with large, complex datasets from multiple sources required.
  • Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python, R, Power BI, Tableau, machine learning frameworks, and generative AI platforms.
  • Demonstrated ability to present complex analytical insights to C-suite and executive leadership and influence strategic decision-making.
  • Excellent written and verbal communication skills.
  • Strong project management and organizational skills.
  • Willingness to travel.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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