
Main Job Responsibilities
Data Analytics & Insight Creation
Develop,maintain, and enhance dashboards, reports, and analytical tools(using Excel, Power BI, Tableau, and other solutions) to provide real-time operational and financial views into Professional Services activities.
Design and generate recurring and ad hoc analysescovering utilization, revenue, bookings, time-to-value, and other core KPIs for PS and related business units.
Extract, aggregate, and integrate datafrom Professional Services Automation (PSA) tools (e.g., CertiniaFinancialForce), Salesforce, NetSuite, and other platforms.
Develop exception and trend reportsto identifyand alert management to anomalies, risks, and opportunities in project delivery and resourcing.
Process & Systems Enhancement
Partner with key stakeholdersto define, document, and continuously improve the analytics processes supporting PS operations.
Contribute to system/process integration initiatives, such asmaintainingor enhancing PSA-to-NetSuite data pipelines.
Serve as an internal subject matter experton analytics data sources, tools, and best practices within the PS organization.
Collaboration & Communication
Present findings and actionable insightsin clear, concise written and verbal form to stakeholders at all organizational levels.
Collaborate cross-functionally with Resource Managers, project leaders, regional heads, and Finance/IT to meet evolving data/reporting needs.
Support ongoing data quality initiatives and act as an advocate for data-driven decision-making in the Services business.
Additional Responsibilities
Prepare regular (weekly, monthly, quarterly) performance reports and presentations for management review.
Lead or support process improvement projects aimed at increasing automation and efficiency within the analytics/reporting cycle.
Stay current with industry analytics tools and methodologies; recommend enhancements to Kaleris’analytics capabilities asappropriate
Support the roll-out and training for new analytics/reporting tools or processes as needed.
Employment Prerequisites
Bachelor’s degree in business analytics, information technology, data science, finance, ora relatedfield.
1–2 years (including internships/co-op) of hands-on experience in data analytics, business intelligence, or a similar analytical role (ideally within professional services, SaaS, or consulting environments).
Demonstratedproficiencywith Exceland at least one major dashboard/reporting tool (e.g., Power BI, Tableau).
Experience with data extraction, transformation, and integration across multiple systems (e.g., PSA tools, Salesforce, NetSuite).
Ability to define, calculate, and explain business and operational KPIs.
Clear and concise communication skills (written and verbal). Ability to present data in an actionable and audience-appropriate manner.
Assertive problem-solving and analytical skills, with high attention to detail.
Familiarity with Professional Services Automation tools (preferablyCertiniaFinancialForce) and Salesforce is strongly preferred.
Ability to work collaboratively in a multi-cultural, geographically distributed team environment.
Nice to Have
Experience in Resource management
Experience in process mapping, data governance, or business process improvement.
Exposure toautomation technologies (RPA, low-code platforms, etc.).
Familiarity with NetSuite or other financial/ERP platforms.
Experience supporting globally distributed service or operations teams.
This role is ideal for an early-career analytics professional looking to shape decision-making and impact in a dynamic, high-performance services operation, with significant exposure to process and systems transformation.
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Kaleris is a leading provider of cloud-based supply chain execution and visibility technology solutions. Many of the world's largest brands rely on Kaleris to provide mission-critical technology for yard management, transportation management, maintenance and repair operations, terminal operating systems, and ocean carrier and vessel solutions. By consolidating supply chain execution software assets across major nodes and modes, we address the dark spots and data gaps that cause friction and inefficiency in the global supply chain.