Data Analyst

About Fyle (now part of Sage)

We are Fyle, a SaaS start-up focused on business expense management with real time card feed. We help companies of all sizes manage their expenses with a powerful platform that makes it easy to track, report, and reconcile expenses. Our goal is to help companies save time and money so they can focus on growing their businesses, but we cannot do that without you!

We take our data seriously — but not ourselves. Were a team that values curiosity, ownership, and the ability to present insights clearly (ideally with a good sense of humour). If that sounds like your vibe, wed love to hear from you!

About the Role

Were hiring our first Data Analyst to build foundational capabilities in how we query, analyse, and act on data. Youll work closely with Engineering and Product teams to unblock data access, improve instrumentation, and drive better decisions through clear, actionable insights. This is a high-impact role with both operational and strategic dimensions.

What Youll Need

Must-Have Skills

• SQL (PostgreSQL): You should be highly proficient.
• Google Sheets / Excel: Solid working knowledge, including formulas, pivot tables, and basic charting.
• Analytical Thinking: Comfortable working with raw data to identify patterns and derive insights.
• Presentation Skills: Ability to summarize, format, and communicate findings clearly — charts, not data dumps.
• High Agency: You dont wait for someone to tell you what to do. You figure out what needs to be done and do it.
• Experience: 3-4 years in a data-heavy role (e.g., data analyst, business analyst, product analyst).

Good-to-Have

• Prior experience with Mixpanel or similar product analytics tools.
• Familiarity with data visualization tools like Looker, Metabase, or Google Data Studio.
• Exposure to SaaS or product analytics in a B2B setting.
• Comfort using AI tools (e.g., ChatGPT) effectively as part of your workflow

Key Responsibilities

1. Own Data Operations

• Be the go-to person for data queries across Product and Business teams.
• Take ownership of data running tasks currently handled by engineering, freeing them to focus on core product work.
• Build and maintain dashboards, reports, and workflows that democratize data access internally.
• Help teams self-serve using tools like Mixpanel and Google Sheets.
• Leverage AI tools extensively in your workflows, while ensuring data consistency.

2. Enable Better Instrumentation

• Audit and clean up event tracking in Mixpanel to ensure consistent naming and complete coverage.
• Collaborate with Engineering to define and implement key tracking events and data structures.
• Establish best practices around analytics data hygiene.

3. Drive Analytical Insight

• Explore behavioural and product usage data to identify leading indicators of customer retention, product adoption, and engagement.
• Run exploratory and hypothesis-driven analysis to inform the product roadmap.
• Identify patterns and surface trends that others may not be looking for — and present them in a way that drives action.

Caveats

• This is not a junior role. Youll be expected to hit the ground running with minimal handholding.
• Some meetings or collaboration may happen during early mornings or late evenings (to overlap with North America).
• If you prefer someone else to structure the analysis and just execute queries, this probably isnt the role for you