Senior Analyst – Government Job at Vontier

Job Overview

• To execute the daily data collection, compilation and analysis that powers the contracted analytics services at the core of Vontier's end-to-end mining solutions. The role is the operational backbone of the analytics service delivery: ensuring the data underpinning customer-facing insight is accurate, validated, reconciled on time, and free of unmanaged exceptions.
• Government fleet contracts are high-value, high-scrutiny and reliant on the integrity of the analytics and financial reconciliations delivered. This role is the operational and analytical backbone of that service: combining disciplined daily execution, rigorous validation and three-way financial matching with trend analysis and exception management that protect both the customer and Vontier from financial and compliance risk.

Responsibilities

Data collection and compilation

• Execute daily collection and compilation of operational data feeding the contracted analytics services.
• Ensure data completeness, accuracy and consistency across all sources.
• Manage data intake from multiple systems, sites and customer feeds.

Validation and reconciliation

• Validate data integrity, applying quality checks and controls before analysis and reporting.
• Complete reconciliations accurately and on time, in line with contractual and service commitments.
• Identify, investigate and manage exceptions, anomalies and discrepancies to resolution.
• Escalate unresolved or material issues to the Senior Manager promptly.

Analysis and reporting

• Analyse data to identify trends, patterns and outliers relevant to customer operations and contract performance.
• Produce accurate, timely analytics outputs and reports for customers and internal stakeholders.
• Translate data findings into clear, meaningful insight supporting customer decision-making.
• Support continuous improvement of analytics methods, controls and reporting.

Service delivery support

• Ensure analytics service delivery meets SLA, accuracy and timeliness requirements.
• Maintain documentation of data processes, controls and reconciliations for audit and compliance.

Required Skills / Qualifications / Certifications / Tech Stack

Essential 

• 4+ years in a data analyst, operations analyst or reporting analyst role, ideally in mining, industrial, telematics or data-services contexts.
• Strong data-handling, validation and reconciliation skills with high attention to accuracy.
• Proficiency in data analysis and reporting tools (advanced Excel essential; SQL, Power BI or similar advantageous).
• Ability to identify, investigate and resolve data exceptions and anomalies.
• Strong analytical and problem-solving skills with the ability to turn data into insight.
• Disciplined, deadline-driven approach to recurring reconciliations and reporting.
• Clear communication skills for reporting findings to internal and customer stakeholders.
• Relevant tertiary qualification in data science, statistics, engineering, finance or a related quantitative field.

Preferable 

• Understanding of fuel transactions, fleet cards (EMV) or payment reconciliation advantageous.

Outcomes and Deliverables 

Deliverables 

• Daily and periodic data collection, compilation and validation completed to schedule.
• On-time, accurate reconciliations with documented exception management.
• Regular analytics outputs, trend reports and insight summaries for customers and internal stakeholders.
• Exception and anomaly registers with resolution tracking.
• Maintained data-process and control documentation for audit readiness.
• Escalation reports on material issues to the Senior Manager.

Outcomes

• Accurate, validated data consistently underpinning the contracted analytics services.
• Reconciliations completed on time, every cycle, with no material errors.
• Exceptions identified, managed and resolved promptly, with clear escalation of material issues.
• Meaningful trends identified, managed and reported to support customer decisions.
• Analytics service delivery meeting SLA, accuracy and timeliness commitments.
• High customer confidence in the integrity of the analytics underpinning their solutions.