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How much do data analytics finance jobs pay per year?

As of Jun 26, 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.

Can I get a data analytics job with a finance major?

A finance major can qualify for data analytics roles, especially if they develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Relevant certifications and experience with data visualization and statistical methods can enhance employability in data analytics positions.

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 does a data analyst do in finance?

A data analyst in finance collects, processes, and analyzes financial data to identify trends, support decision-making, and improve business performance. They use tools like Excel, SQL, and data visualization software to create reports and dashboards, often working closely with finance teams to interpret data and ensure accuracy.

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.

What is the salary of data analyst in JP Morgan?

The average salary for a data analyst at JP Morgan typically ranges from $60,000 to $85,000 annually, depending on experience, location, and education. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes bonuses and benefits aligned with industry standards.

How can data analytics be used in finance?

Data analytics in finance, including roles like Data Analytics Finance, involves analyzing large datasets to identify trends, assess risks, and support decision-making. It uses tools such as Excel, SQL, and specialized analytics software to improve financial forecasting, detect fraud, and optimize investment strategies.
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 June 2026, with employment types broken down into 53% Full Time, 37% Part Time, 9% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.
Manager, Oracle Fusion Analytics, Finance (OTC & PTP)

Manager, Oracle Fusion Analytics, Finance (OTC & PTP)

Avispa Technology

Nashville, TN • On-site

$105/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Job Description
Manager, Oracle Fusion Analytics, Finance (OTC & PTP) PMOUNTJP00001213
  • Hourly pay: $100-105/hr (Depends on location)
  • Worksite: Leading digital streaming network (Nashville, TN 37201 (Preferred), or New York, NY 10036 - Onsite)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 7 Month Assignment

A leading digital streaming network seeks a Manager, Oracle Fusion Analytics, Finance (OTC & PTP) to lead the analytics, reporting, and data governance strategy for Order-to-Cash (OTC) and Procure-to-Pay (PTP) functions within Oracle Fusion Cloud ERP. This techno-functional role combines finance process expertise with Oracle Fusion analytics capabilities to deliver actionable insights, drive working capital optimization, and support finance transformation initiatives through scalable reporting and business intelligence solutions.
Manager, Oracle Fusion Analytics, Finance (OTC & PTP) Responsibilities:
  • Own and execute the Oracle Fusion analytics and reporting roadmap for OTC and PTP processes, translating finance business requirements into scalable dashboards, reports, KPI frameworks, and self-service analytics solutions using Fusion Analytics Warehouse (FAW/FDI), OTBI, and BI Publisher.
  • Deliver end-to-end OTC and PTP analytics by defining metrics, calculations, and reporting for accounts receivable, collections, invoicing, cash application, disputes, accounts payable, procurement, supplier management, invoice processing, payment performance, DSO, DPO, CEI, invoice cycle times, and working capital optimization initiatives.
  • Establish and maintain data governance standards, KPI definitions, semantic models, reporting consistency, and a single source of truth across Oracle Fusion reporting environments while ensuring data quality and reporting accuracy.
  • Lead requirements gathering, stakeholder engagement, reporting prioritization, and collaboration across Finance, IT, ERP, Data Engineering, Procurement, Accounts Payable, Accounts Receivable, and business leadership teams to drive adoption of analytics solutions and support strategic decision-making.
  • Provide leadership and mentorship to analysts and report developers while supporting Oracle Fusion implementations, upgrades, analytics enhancements, reporting migrations, finance transformation initiatives, month-end reporting, controllership activities, and continuous process improvement efforts.

Manager, Oracle Fusion Analytics, Finance (OTC & PTP) Qualifications:
  • 7+ years of experience in finance analytics, business intelligence, ERP reporting, or related analytical roles.
  • 2+ years of leadership, team lead, or project leadership experience.
  • Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, or a related field.
  • Hands-on expertise with Oracle Fusion Cloud ERP.
  • Strong experience with Oracle Fusion Analytics Warehouse (FAW), Fusion Data Intelligence (FDI), OTBI, and BI Publisher.
  • Strong functional understanding of Order-to-Cash (OTC) processes, including Accounts Receivable, billing, collections, cash application, disputes, deductions, and revenue reporting.
  • Strong functional understanding of Procure-to-Pay (PTP) processes, including procurement, purchasing, requisitions, invoice processing, supplier management, Accounts Payable, and payment operations.
  • Knowledge of Oracle Fusion data structures, including AR, AP, Procurement, and GL subledgers.
  • Proficiency with SQL, data modeling, reporting frameworks, and dashboard development.
  • Experience translating finance business requirements into analytics and reporting solutions.
  • Strong stakeholder management, communication, and presentation skills with the ability to influence senior leadership.
  • Experience supporting Oracle Fusion implementations, upgrades, enhancements, or analytics migrations.
  • Familiarity with cloud data platforms such as OCI, Snowflake, Azure, or similar environments.
  • Experience with ETL, data integration, and reporting architecture concepts.
  • Knowledge of working capital optimization, finance transformation, controllership, month-end close, or FP&A reporting.
  • Experience with Oracle Fusion Analytics or Cloud ERP certifications is preferred.
  • Experience managing finance analytics teams or report development teams is preferred.
  • Occasional domestic travel to key office locations is required, and possibly to Budapest.

Shift:
  • 8:00 am to 5:00 pm or 9:00 am to 6:00 pm, depending on their location. Flexibility may be required to account for team members in different time zones.

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