We’re Hiring Across Two Core Tracks

A. Business Analyst (Business Intelligence)

Role Purpose

This role owns how the Company and our customers understand performance, value, and ROI. You will turn operational, revenue, and customer data into clear, actionable insights used by internal teams (Leadership, Sales, Customer Success, Marketing) as well as by key Enterprise customers.

This is a business-facing analytics role focused on visibility, decision-making, and commercial impact.

What You’ll Do

• Build and maintain dashboards, reports, and business reviews for internal stakeholders and customers

• Track revenue, pipeline performance, customer outcomes, and key commercial KPIs

• Support Sales, Marketing, and Customer Success with performance analysis and insight generation

• Deliver market and customer intelligence to inform strategy and prioritization

• Handle ad-hoc data requests and executive-level reporting needs

You Should Be Strong In

• SQL for querying, transforming, and analyzing large datasets

• Data visualization & BI tools (Looker, Tableau, Power BI, etc.)

• Business storytelling — clearly explaining what happened, why it happened, and what actions to take

• Collaborating with non-technical stakeholders in fast-paced environments

Nice to Have

• Experience with revenue, CRM, or SaaS analytics

• Familiarity with customer performance or marketing metrics

• Experience building executive-level or client-facing reports

B. Data Analyst (Product Analytics & Data Engineering)

Role Purpose

This role sits at the intersection of Product, Engineering, and Analytics. You will ensure product data is reliable, well-structured, and ready for analysis—enabling teams to measure how features, user behavior, and data flows impact business outcomes.

This is a more technical analytics role, focused on product insights and strong data foundations.

What You’ll Do

• Analyze product usage, user funnels, and customer behavior

• Support product teams with insights for feature launches and iterative improvements

• Build and maintain analytics-ready datasets and data pipelines

• Ensure data quality, consistency, and availability across reporting and analysis use cases

• Partner with engineers to integrate new data sources, events, and tracking

You Should Be Strong In

• SQL and Python for data analysis and transformation

• Data visualization & BI tools (Looker, Tableau, Power BI, etc.)

• Working with cloud data platforms and data warehouses

• Understanding product metrics, user journeys, and event-based data

• Translating technical data into practical, actionable insights

Nice to Have

• Experience with experimentation, A/B testing, or feature analytics

• Familiarity with AWS, Google Cloud, Databricks, Snowflake, or modern data stacks

• Background in SaaS, marketplaces, or digital platforms

Requirements – Who We’re Looking For

We welcome candidates from Junior to Senior level who bring:

• Strong analytical thinking and problem-solving skills

• Comfort working with large, messy, real-world datasets

• The ability to communicate clearly across technical and non-technical teams

• Curiosity about how data drives product decisions and business outcomes