Business Data Analyst I - Finance Analytics & Reporting Systems

Role Title: Business Data Analyst I - Finance Analytics & Reporting Systems

Client: Lockheed Martin - Finance & Business Operations Analytics

Engagement: W2

Work Location: Orlando, FL / Dallas, TX (Hybrid - partial remote flexibility based on team schedule)

Project Duration: 24 Months (Conversion Possible)

Start Window: June 22, 2026 - July 10, 2026

Pay Rate: $38.75 - $45/hr W2

Work Authorization: USC / GC / OPT / OPT‑EXT

Program Context

Lockheed Martin is supporting internal transformation across Finance & Business Operations analytics environments, focused on improving financial reporting accuracy, operational visibility, and process efficiency.

This role supports delivery teams working on:

• Structured financial reporting pipelines
• Data validation and reconciliation workflows
• Dashboard-driven decision support for finance and operations stakeholders

The position operates within a process-driven enterprise analytics environment, where data accuracy, traceability, and reporting consistency are critical.

Core Responsibilities

• Support analysis of financial and operational datasets used for reporting, forecasting, and performance tracking
• Assist in preparing structured datasets using SQL and data manipulation tools to support reporting workflows
• Build and maintain basic Tableau dashboards and reports, ensuring alignment with predefined business logic and metrics
• Perform data validation and reconciliation across multiple data sources, identifying discrepancies in financial reporting outputs
• Work with senior analysts to translate business requirements into reporting logic and measurable outputs
• Support documentation of data definitions, report logic, and business rules used within analytics workflows
• Assist in maintaining traceability between source data, transformations, and final reporting outputs
• Participate in reporting cycles to support monthly/quarterly financial reporting timelines.

Required Qualifications

• Bachelor’s degree in business Analytics, Finance, Information Systems, Data Analytics, or related field
• 0-2 years of experience (including internships or academic projects) involving:
• Data analysis or reporting
• Structured datasets
• Business or financial data interpretation
• Working knowledge of:
• SQL (basic querying, joins, filtering)
• Excel (data manipulation, formulas, reporting)
• Data visualization tools (Tableau preferred / Power BI acceptable)
• Ability to interpret structured datasets and translate business requirements into reporting outputs
• Understanding of working in process-driven environments where data accuracy and validation are required

Preferred

• Exposure to:
• Financial reporting or operational data
• Enterprise tools such as SAP, data warehouses, or reporting platforms
• Basic familiarity with:
• Data pipelines or ETL concepts
• Reporting dashboards used by business stakeholders
• Awareness of documentation and traceability practices within regulated or enterprise environments