01Key Responsibilities
Monitor ongoing projects and track performance against expected metrics is it improving, holding, or slipping
Review reports and dashboards regularly, and flag anomalies, regressions, or emerging issues
Investigate the why behind a number moving, and escalate clearly to the Team Lead or project owner
Prepare and present periodic project health summaries for the team
Write scripts and small automations to make reporting faster and more reliable you'll have the freedom to build your own tooling here
Track data trends over time and surface patterns the team might otherwise miss
Learn the technical vocabulary of our stack well enough to talk to engineers on their terms
Required Skills & Qualifications
Graduate in Computer Science or a related field
Working knowledge of or familiarity with Python
Understanding of data analysis concepts
Technical proficiency: Advanced Excel (pivot tables, lookups, financial modelling) and data visualization platforms (Looker Studio / Power BI / Tableau)
Analytical mindset: ability to spot anomalies in metrics or pricing, quantify shifts (e.g., percentage or margin changes), and translate raw data into business intelligence
Genuine interest in technology, engineering, orAI and evidence of it (projects, coursework, self-study, contributions)
Attention to detail and the persistence to chase down an unexplained number
Excellent communication and collaboration abilities a good part of this job is explaining problems clearly to busy people
Good to Have (Advantage)
Exposure to MySQL or BigQuery
Familiarity with monitoring or BI tools such as Metabase
Any prior internship, project, or coursework involving data analysis or reporting .
