Business Systems and Analytics Analyst

Smartlinx•Hackensack, NJ

14h•Remote

About The Position

Smartlinx is seeking a highly analytical, detail-oriented Business Systems and Analytics Analyst with Revenue Operations experience to support and optimize go-to-market systems, reporting infrastructure, and data operations. The analyst will maintain the integrity of the technology stack, improve business processes, and deliver actionable insights across Sales, Customer Success, Marketing, and Finance. The role administers and optimizes GTM systems and CRM architecture, builds reports and dashboards, analyzes large datasets, and partners across departments to improve operational efficiency and decision-making. The analyst also supports revenue processes and reporting, maintains integrations and data quality, and provides user support and training.

Requirements

Bachelor’s degree in Business, Information Systems, Finance, Computer Science, Analytics, or a related field.
At least 2 years of professional experience in GTM systems administration and maintenance (Salesforce or comparable), Revenue Operations, Business Operations, or a related role.
Hands-on professional experience administering and maintaining Salesforce and other GTM platforms.
Strong analytical and problem-solving skills, including the ability to translate data into actionable business insights.
Advanced experience with GTM system data structures, reporting, and dashboard creation, with the ability to apply that expertise in a real-world setting.
Strong proficiency in Microsoft Excel and data analysis tools.
Excellent organizational skills and strong attention to detail.
Ability to manage multiple priorities in a fast-paced environment.
Strong communication and cross-functional collaboration skills.

Nice To Haves

Prior experience in a B2B SaaS business model; healthcare experience is a nice-to-have.
Salesforce Administrator Certification.
Experience with GTM tools and platforms such as HubSpot, Power BI, Tableau, Spiff, and ZoomInfo.
Experience supporting sales forecasting, pipeline analytics, bookings reporting, and churn or renewal analysis.
Familiarity with SQL, data visualization tools, or BI platforms.
Highly analytical with strong business acumen.
Willingness to work directly with large datasets and problem-solve through to a resolution.
Comfort operating both strategically and tactically.
Team-oriented with strong communication skills.
Ability to work independently while collaborating effectively across teams.

Responsibilities

Administer the GTM technology stack, including Salesforce CRM, HubSpot, Celigo, ZoomInfo, Spiff, Tableau, and LinkedIn; manage users, profiles, maintenance, troubleshooting, change requests, permissions, flows, validation rules, and configuration.
Maintain data integrity, system hygiene, and governance standards across GTM systems.
Manage and optimize automations, flows, dashboards, and reporting structures across the GTM technology stack.
Gather requirements from business stakeholders and implement scalable GTM system enhancements.
Maintain integrations between GTM tools and other business systems, such as ERP, marketing automation, customer support, billing, and RevOps tools.
Troubleshoot system issues and provide ongoing support to end users.
Conduct training and refresher sessions on the GTM technology stack for new hires and existing GTM team members.
Support forecasting, pipeline management, territory planning, lead management, and sales process optimization.
Collaborate with Sales, Marketing, Customer Success, and Finance to improve operational workflows and reporting consistency.
Help establish and maintain KPI frameworks, data definitions, and operational best practices.
Assist with commission tracking, bookings analysis, churn reporting, and customer lifecycle analytics.
Identify process bottlenecks and recommend improvements to revenue organization efficiency and visibility.
Build and maintain dashboards, reports, and recurring business performance analyses.
Conduct ad hoc analysis to support strategic decision-making and operational initiatives.
Ensure data accuracy across systems and proactively identify inconsistencies or gaps.
Support data imports, exports, cleansing, deduplication, and migration efforts.