Product Analyst (2 years Contract)

Position Summary

We are seeking a detail-obsessed, mathematically minded junior Data Analyst to own our operational data workflows, performance forecasting, and KPI optimization. This role focuses heavily on data accuracy, routine reporting, and tactical KPI logic.

If you enjoy reverse-engineering complex spreadsheets, finding patterns in large sales datasets, and optimizing input parameters to achieve the best mathematical outcome, this role is for you.

Role and Responsibilities

Sales Data Analysis & Anomaly Detection

• Weekly data review: Extract, aggregate, and review large weekly sales datasets to monitor ongoing performance.
• Issue identification: Perform routine diagnostic analysis to spot trends, anomalies, and operational bottlenecks; flag actionable insights for the wider business team.
• Report generation: Maintain and execute standardized daily/weekly/monthly Excel reports to keep stakeholders informed of baseline metrics.
• Support forecasting, pricing, and channel strategy to drive positive contribution toward key KPIs for the assigned category.

KPI Optimization & Mathematical Forecasting

• Evaluation system management: Own the operational workflow for the performance evaluation and scoring framework.
• Forward forecasting: Analyze historical performance data to build precise 4-week rolling models.
• System input optimization: Work backward from target scoring metrics to determine the exact inputs required to maximize performance evaluation scores.
• Model maintenance: Continuously tweak and maintain logic models to ensure maximum point yield under business evaluation rules.

Operational Support

• Provide robust analytical support to senior product and operational leads.
• Ensure 100% data integrity and consistency across all tracking templates and performance systems.
• Perform ad hoc duties and reporting as needed.

Skills and Qualifications

• Bachelor’s degree in Business or a related field.
• 1–3 years of analytical work experience with advanced Excel proficiency.
• Process-oriented and methodical: Thrives in a highly structured environment with repeatable weekly cadences and routine data maintenance.
• Attention to detail: High standard for accuracy when working with high-volume performance data.
• Analytical and reverse-engineering mindset: Strong comfort with numbers and logic, working backward from target outputs to calculate ideal inputs.
• Data visualization: Ability to present clear tabular summaries and data highlights to non-technical team members.
• Good communication, presentation, and interpersonal skills.
• Able to thrive in a fast-paced environment.