Netsuite Data Analyst

Netsuite Data Analyst

Robert Half

Pittsburgh, PA • On-site

Temporary

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Job description

We are looking for a Netsuite Data Analyst to join a Long-term Contract opportunity supporting finance technology initiatives in Pittsburgh, Pennsylvania. In this role, you will work across finance, accounting, and technical teams to strengthen financial systems, improve reporting capabilities, and maintain dependable data across connected platforms. The ideal candidate brings hands-on NetSuite expertise, a solid grasp of accounting operations, and the ability to turn business needs into practical system and analytics solutions.
Responsibilities:
• Act as the key point of coordination between finance stakeholders and technical teams to align system capabilities with business needs.
• Evaluate and enhance financial applications and connected tools, including NetSuite, Workiva, Sigma, Workato, and BigQuery, to improve performance and usability.
• Support integration workflows and data movement across cloud and reporting environments to help ensure complete and timely financial information.
• Create and maintain finance-focused dashboards, reports, and analytical outputs using Sigma and related business intelligence tools.
• Collect, define, and document requirements, workflows, and functional specifications for system improvements and process changes.
• Identify manual accounting activities that can be simplified through automation, particularly within close, reconciliation, and reporting cycles.
• Oversee configuration updates, coordinate testing efforts, and assist with the rollout of enhancements and new functionality.
• Investigate data or system issues, resolve inconsistencies, and partner with internal teams or external vendors when deeper support is needed.
• Provide systems support during month-end, quarter-end, and year-end activities while helping maintain documentation, training materials, and audit readiness controls.• Bachelor’s degree in Accounting, Finance, Information Systems, or a related discipline.
• 3–7+ years of experience in a business systems, ERP, or finance systems analysis role.
• Practical experience working with NetSuite in a finance or accounting environment is required.
• Strong knowledge of core accounting processes such as general ledger, accounts payable, accounts receivable, close, and consolidations.
• Experience with data integrations, APIs, and workflow automation across enterprise platforms.
• Familiarity with reporting and analytics tools such as Sigma, BigQuery, Workiva, or similar technologies is strongly preferred.
• Strong analytical thinking, troubleshooting ability, and communication skills with the capacity to manage multiple priorities effectively.
• Experience supporting compliance-focused environments and partnering with audit or control teams is highly valued.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948



Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analyst?

A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.

Q: What is the career path for a Data Analyst?

A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.