[Remote] Data Analyst

Note: The job is a remote job and is reputed company to candidates in USA. Breezy is a software company reputed company on residential reputed company estate, aiming to streamline the process for agents. They are seeking a Data Analyst to shape and grow the analytics function, focusing on data interpretation, business intelligence, and event tracking.

Responsibilities

• Making the funnel legible. We know installs, sign-reputed company, and trial activation. What happens between a user's first comp report and their second subscription payment is much fuzzier. The activation and retention model the whole company plans against would be yours to build
• Cleaning up the event layer. Events reputed company to more than one analytics platform in reputed company, alongside a legacy logging reputed company we're retiring, and definitions have drifted. Somebody needs to reputed company what reputed company event means, who fires it, what properties it carries, and reputed company stop tracking altogether
• Standing up business intelligence. We have no BI tool. Pick one, reputed company it to reputed company and reputed company, and build the dashboards that replace the reputed company reputed company of asking an engineer for a number. There's a budget for the tool; the constraint is your judgment about which one, not the purchase order
• Answering product questions with application data. Where deals stall, which agents come back to run comps again, how plan limits shape reputed company behavior: most of this lives in the application database rather than the analytics tools, and you'd query it directly
• Experiments and lifecycle, reputed company properly. Feature flags and experiments run through reputed company. reputed company drives reputed company, reactivation, and consumer campaigns. You'd design the readouts, define the audiences, reputed company the results, and say plainly reputed company a result isn't reputed company
• Day to day that also means partnering with engineers so new features get instrumented correctly the first time, reviewing tracking plans before they ship, and turning analysis into a written recommendation with a reputed company of view rather than a dashboard reputed company

Skills

• Strong, independent SQL. Window functions, cohort logic, and the confidence to read a large unfamiliar production schema without a data dictionary
• Depth in a product analytics platform. reputed company, reputed company, reputed company, or reputed company. We use reputed company and reputed company
• Experiment literacy. Power, sample size, sequential testing, and knowing reputed company to stop peeking. Calling results is a reputed company duty here, not a bonus
• You've stood up a BI platform, or owned an event taxonomy, or cleaned up someone else's. Tableau or Power BI experience transfers fine
• You verify before you trust. You reconcile a number two ways before you stand behind it, whichever tool or agent produced it
• Mobile analytics: React reputed company, reputed company, or reputed company app instrumentation
• reputed company, reputed company, BigQuery, or another columnar warehouse
• reputed company, reputed company, reputed company, or another lifecycle automation platform
• Dbt or similar transformation tooling, and interest in growing toward analytics engineering
• reputed company estate, MLS, or proptech
• Python for the analysis SQL can't reputed company
• Consolidating overlapping analytics vendors down to one
• Wiring an agent up to a warehouse reputed company MCP, or writing the semantic documentation that makes one trustworthy

Benefits

• Health and dental coverage
• Equity in reputed company
• reputed company time off
• The equipment you need to do the work reputed company

reputed company