Senior Data Analyst – Business Insights, Operations

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop and sustain cohesive reporting across CRM, accounting, invoicing, and operational databases.

• Replace manual data exports with dependable, near-real-time data pipelines and refresh schedules.

• Establish and document shared metric definitions, including MRR, activation, and churn.

• Collaborate with Data Engineering on pipelines that support Redshift and MongoDB Atlas.

• Assess BI and analytics tools, including the potential transition from ThoughtSpot.

• Expand revenue reporting into shared dashboards in conjunction with Finance.

• Highlight collections and billing risks and assist with revenue reconciliation.

• Conduct cohort and retention analyses.

• Query MongoDB Atlas to generate dashboards for adoption, activation, and engagement.

• Monitor API and feature usage, linking usage patterns to retention and expansion.

• Evaluate the impact of product releases and features.

• Create customer health scores based on usage, support interactions, and sentiment analysis.

• Identify renewal risks and expansion prospects for Customer Success and Sales teams.

• Integrate pipeline, funnel, and campaign data with business metrics.

• Assist with win/loss analysis, attribution, and sales-cycle evaluations.

• Manage recurring business review reporting and support board reporting and OKR tracking.

• Translate cross-functional business inquiries into analytical responses.

• Develop Claude-powered natural language query agents.

• Implement automated anomaly detection and Slack notifications.

• Utilize AI to draft summaries for business reviews and to reconcile discrepancies across systems.

• Analyze call transcripts and support tickets to identify themes and risk indicators.

• Package agents and workflows as reusable internal tools.

• Map systems of record and identify reporting deficiencies within the first 90 days.

• Deliver reliable product usage, customer health, and revenue reporting within six months.

⛳️ Requirements

• Over 5 years of experience in data or business analytics, analytics engineering, or a similar cross-functional analytics position.

• Proficient in SQL.

• Practical experience with a cloud data warehouse, preferably Redshift.

• Familiarity with a BI/visualization tool such as ThoughtSpot, Looker, Tableau, Mode, Hex, or Power BI.

• Proven experience using AI tools like Claude or ChatGPT to automate analysis, create agents, or enhance reporting workflows.

• Background in building data models or a semantic layer utilized consistently across multiple teams.

• Experience in connecting and reconciling data across CRM, billing/ERP, product analytics, and support/ticketing platforms like Freshdesk.

• Exceptional stakeholder engagement skills and the ability to collaborate with Engineering, Data Engineering, Finance, Sales, Customer Success, and Leadership.

• Direct experience querying NoSQL/document databases, ideally MongoDB and its aggregation framework (preferred).

• Background in fintech, SaaS, or subscription-based business models (preferred).

• Comfortable using AI coding tools such as Claude Code, with sufficient Python/SQL knowledge to review, debug, and validate generated code (preferred).

• Experience collaborating with existing Finance and Revenue Operations analytics functions (preferred).

• Experience in evaluating, selecting, or migrating BI/analytics tools (preferred).

🏝️ Benefits

• Competitive salary and equity opportunities.

• Unlimited paid time off (PTO).

• Flexible working schedule.

• Paid holidays.

• Comprehensive health, dental, and vision insurance.

• Fully remote-first work culture.

• Semi-annual company retreats.

• Genuine opportunities to influence how the entire company perceives and utilizes its data.