IT Financial Analyst

NTT DATA Services•Charlotte, NC

5d•$96,800 - $145,200•Remote

About The Position

NTT DATA is seeking an IT Financial Analyst to support financial analysis and decision-making. The role analyzes financial data for budgeting, forecasting, reporting, and business decisions, and develops reports, dashboards, and analytical models using Excel, SQL, and Power BI. It performs financial performance, trend, variance, and forecasting analysis; maintains and reconciles financial data across enterprise systems; and builds financial models, KPIs, dashboards, and management reports. The analyst identifies trends, risks, cost drivers, and process improvement opportunities; automates recurring reporting; troubleshoots reporting and data issues; and supports month-end and quarter-end reporting. The position collaborates across Finance, Technology, Risk, Operations, and Business teams, presents insights and recommendations to business and senior management, and participates in Agile/Scrum ceremonies and process improvement initiatives. The position is remote and is based in the United States. NTT DATA notes that remote or hybrid arrangements may change based on client requirements and that in-office attendance may be required for meetings or events depending on business needs. The target starting pay range is $96,800 to $145,200, with actual compensation dependent on location, experience, skills, and other qualifications. Incentive compensation may also be available based on individual and/or company performance. Benefits include medical, dental, and vision insurance with an employer contribution, flexible spending or health savings accounts, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, and a 401(k) program with company match, along with additional voluntary or legally required benefits.

Requirements

At least 5 years of experience in Financial Analysis, Business Analysis, Data Analytics, or FP&A.
At least 4 years of experience in financial reporting, budgeting, forecasting, variance analysis, and financial modeling.
At least 3 years of hands-on SQL experience for data analysis and reporting.
At least 4 years of Microsoft Excel experience, including advanced formulas, PivotTables, and financial modeling.
At least 2 years of experience with Power BI or similar BI tools.
At least 3 years of experience working with large financial datasets and enterprise systems.
At least 2 years of experience with Python/R or other reporting automation tools.
At least 2 years of experience with financial systems such as ERP, General Ledger, Treasury, or Investment Management platforms.
At least 3 years of experience working with cross-functional Finance, Technology, Operations, and Business teams.
At least 2 years of experience with Agile/Scrum methodologies.
Strong knowledge of financial concepts, KPIs, data quality, reconciliation, and management reporting.
Strong analytical, communication, problem-solving, and stakeholder management skills.
Bachelor’s degree in Finance, Accounting, Economics, Business, Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.

Nice To Haves

Experience in Banking, Financial Services, Insurance, Wealth Management, or Investment Management.
Experience with FP&A, Power BI, Tableau, Snowflake, or modern analytics platforms.
Experience using AI and automation tools for financial reporting and analysis.
Knowledge of financial data governance, security, privacy, and regulatory requirements.

Responsibilities

Analyze financial data to support budgeting, forecasting, reporting, and business decisions.
Develop financial reports, dashboards, and analytical models using Excel, SQL, and Power BI.
Perform variance, trend, forecasting, and financial performance analysis.
Validate, reconcile, and maintain financial data across enterprise systems.
Build and maintain financial models, KPIs, dashboards, and management reports.
Identify trends, risks, cost drivers, and opportunities for process improvement.
Automate recurring financial reports and analytical processes.
Collaborate with Finance, Technology, Risk, Operations, and Business teams.
Troubleshoot data and reporting issues and support month-end and quarter-end reporting.
Present financial insights and recommendations to business and senior management.
Participate in Agile/Scrum ceremonies and process improvement initiatives.