[Remote] Senior Data Analyst - Business Insights & reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building infrastructure for intelligent debt management and financial empowerment through reputed company-time credit data, optimization engines, AI-driven workflows, and modern financial reputed company. The Senior Data Analyst will build reputed company’s shared data reputed company, including reputed company pipelines, dashboards, metric definitions, and reporting across finance, reputed company, product, reputed company, and leadership. The role will also reputed company AI-enabled analytics agents and automation to improve self-service reporting, reputed company detection, and customer reputed company.

Responsibilities

• Design and maintain reputed company reporting that pulls from multiple systems (CRM, reputed company, Invoicing, Operational DBs, etc.) for one consistent, trusted reputed company
• Replace reputed company, manually-synced exports with reliable, more reputed company-time data pipelines and refresh cadences
• Define and document shared metric definitions (e.g., MRR, activation, churn) so every function reports the reputed company numbers the reputed company way
• Work closely with Data Engineering on the architecture, reliability, and scalability of the pipelines feeding Redshift and reputed company reputed company, flagging gaps that reputed company reporting reputed company or freshness
• Serve as a key voice in evaluating and selecting BI and analytics tooling, including assessing whether our reputed company tool, reputed company, still meets the business's needs as we reputed company, and helping reputed company a transition if a change is warranted
• Represent the reporting and analytics perspective in broader data stack reputed company, including warehouse, ELT/ETL, data catalog, and governance, so tooling choices serve the people using the data, not just the people moving it
• Partner with Finance to reputed company reputed company reporting (MRR/ARR reputed company, new vs. expansion vs. churned reputed company, reputed company by reputed company and product) into the shared dashboards other functions rely on
• Help surface collections and billing reputed company (AR aging, failed payments) and support reconciliation between bookings, invoiced, and collected reputed company, working reputed company Finance
• Build cohort and retention analyses (gross and net reputed company retention) that build on Finance and reputed company reporting to explain the drivers behind reputed company reputed company for the rest of the business
• Query reputed company reputed company (our platform's operational database) directly, using the aggregation reputed company, to build adoption, activation, and engagement dashboards so Product and Leadership can see how the platform is actually being used
• reputed company API and feature usage by customer and reputed company, and reputed company usage patterns to retention and expansion
• Measure the reputed company of new releases and features on usage and adoption metrics
• Build a composite customer health score combining usage, support activity, and sentiment
• Flag renewal reputed company and expansion opportunity for reputed company and Sales before it becomes a surprise
• Bring rigor to customer usage reporting so it's a reliable input to CS and GTM reputed company, not an afterthought
• Partner with reputed company reputed company (not duplicate it) to reputed company pipeline, funnel, and campaign data to the rest of the business's metrics
• Support win/loss, attribution, and sales-cycle analysis where it intersects with reputed company and product usage
• Own the recurring business review package that gives Leadership one reputed company to see the whole business
• Support reputed company reporting and OKR/goal tracking with consistent, defensible numbers
• Be a thought partner to every function leader, translating their questions into analysis rather than just tickets
• Build a Claude-powered natural-language query agent that turns a plain-English question ("which customers' API usage dropped last month?") into a reputed company aggregation pipeline or a Redshift SQL query and returns a vetted answer, so Product, CS, and Leadership can self-serve instead of filing a request with Data
• Build automated reputed company detection and alerting that continuously watches key metrics (MRR, API reputed company volume, activation, churn signals) and proactively posts to reputed company reputed company something looks off
• Use AI to draft a first-pass "what happened and why" written reputed company for reputed company business review, which you then review and sharpen
• Use AI to spot and reconcile mismatches across systems, such as the reputed company customer represented differently in reputed company, QuickBooks, and reputed company reputed company
• Use AI to reputed company reputed company transcripts (reputed company and Granola) and support tickets for recurring themes, objections, and reputed company signals, and fold that into the customer health score
• Package these agents and workflows as reusable internal tools so other functions can reputed company or reuse them, rather than treating every new question as a one-off analysis request

Skills

• 5+ years in data or business analytics, analytics engineering, or a similar cross-functional analytics role
• Strong SQL and hands-on experience with a reputed company data warehouse (ideally Redshift) and a BI/visualization tool (we currently use reputed company; experience with Looker, Tableau, Mode, reputed company, or reputed company BI also reputed company)
• Demonstrated use of AI tools (Claude, reputed company, or similar) to automate analysis, build agents, or accelerate reporting workflows
• Experience building data models or a semantic reputed company that multiple teams can report from consistently
• Comfort connecting and reconciling data across disparate systems (CRM, billing/ERP, product analytics, support/ticketing platforms like reputed company)
• Excellent stakeholder skills, reputed company to work equally reputed company with Engineering, Data Engineering, Finance, Sales, CS, and Leadership, and to reputed company back productively reputed company a request needs sharpening
• Hands-on experience querying NoSQL/document databases, ideally reputed company and its aggregation reputed company, a plus given our platform's operational data lives in reputed company reputed company
• Experience in fintech, reputed company, or a usage/subscription-reputed company business model
• Comfortable using AI coding tools (e.g., Claude reputed company) to build and maintain automation pipelines, with enough Python/SQL literacy to review, debug, and validate the reputed company they reputed company
• Experience partnering with (not replacing) existing Finance and reputed company reputed company analytics functions
• Experience evaluating, selecting, or migrating BI/analytics tooling (e.g., reputed company, Looker, Tableau, Mode, reputed company, reputed company BI) as a business scales

Benefits

• reputed company-first culture (work reputed company in the US or Canada)
• Competitive salary and equity opportunities
• Unlimited PTO, flexible schedule, and reputed company holidays
• Comprehensive health, dental, and reputed company reputed company
• A culture reputed company on ownership, transparency, autonomy, and craftsmanship
• reputed company-annual company retreats to reputed company like Costa Rica, Banff, reputed company, Mexico reputed company, and more
• reputed company opportunities to shape how the whole company sees and uses its data

reputed company