Data Analyst

About the role

The owns the integrity of the data pipeline that powers our tax infrastructure. You are responsible for ensuring the accuracy and reliability of sales tax data from raw transactional events to filing-ready outputs. This role serves as the critical link between chaotic source data and structured, validated datasets that empower the entire organization. You will design and manage intake procedures that normalize transaction events from diverse and complex sources. Success requires turning messy inputs into dependable information that stakeholders can trust implicitly. A core part of the role involves fielding focused questions from customer-facing teams to resolve data ambiguities quickly. You will trace patterns within large datasets to investigate specific anomalies and construct internal dashboards that speed reconciliation and reduce errors.

Key facts

What you'll do

Investigate and resolve data discrepancies reported by customer-facing teams by tracing patterns within large transactional datasets.

Design, build, and maintain intake procedures that normalize transaction events from a wide variety of sources and formats.

Create structural mappings so that billing and product information align precisely with complex tax rules and regulatory requirements.

Guide partners through data issues that threaten smooth onboarding and compliant filing processes to ensure accuracy.

Construct internal dashboards and validation checks that provide clear visibility into data health and speed reconciliation.

Evolve DBT models to ensure data pipelines run efficiently and support growing data volumes without performance loss.

Maintain schema definitions that keep performance high as data sources, formats, and business rules evolve over time.

Coordinate closely with engineering teams to improve how data moves through the broader architecture and eliminate bottlenecks.

Transform ambiguous business questions into precise analytical queries that uncover root causes and drive decision-making.

Perform rigorous quality assurance on datasets to prevent errors from propagating into filing systems or customer reports.

Collaborate with cross-functional stakeholders to translate requirements into data definitions and logic implementations.

Document data workflows and logic clearly to ensure transparency and enable other team members to understand the system.

Monitor data pipelines to identify anomalies early and ensure compliance with internal controls and external regulations.

Contribute to the evolution of the analytics layer by exploring new tools and methodologies that improve insight generation.

Act as the owner of data quality, taking full responsibility for the end-to-end reliability of analytical outputs.

Requirements

You must demonstrate advanced proficiency in SQL and spreadsheet tools like Excel or Google Sheets for data manipulation.

Strong analytical skills are necessary for identifying patterns across large, tangled datasets that contain inconsistencies.

You must have direct experience reconciling financial or transactional information within commerce environments or similar contexts.

You are a self-sufficient problem-solver who can operate effectively in a fast-moving startup setting with minimal supervision.

Clear communication with precise attention to detail is mandatory in all written and verbal interactions.

You thrive in an environment that values intensity, ownership, and high performance under demanding conditions.

This is not a standard schedule; success is defined by high impact, rapid growth, and consistent delivery on demanding priorities.

You care deeply about user experience and resolving customer problems through accurate data and clear insights.

You must be legally authorized to work in the United States without sponsorship, as this role requires immediate availability.

Nice to have

Hands-on experience with DBT or similar transformation frameworks is a significant advantage for managing complex pipelines.

Working familiarity with platforms such as Stripe, Shopify, Fivetran, Parquet, S3, and DuckDB is expected for efficient data work.

Comfort with calling REST endpoints and transforming information using Python or similar scripting languages is required for modern data workflows.

A background in tax, compliance, or accounting-related datasets and controls is highly relevant to the domain complexity.

Experience in operations, finance, or technical customer success environments is essential for understanding stakeholder needs.

Practical notes

This role operates in a fast-paced environment where intensity and ownership are non-negotiable. You must be prepared for rapid iteration and constant adaptation to shifting requirements. The successful candidate will engage with cross-functional partners regularly to ensure alignment between data, product, and compliance needs. This position does not involve managing people but requires strong influence and collaboration across teams. Travel is not required, and the role is fully remote-capable from the San Francisco headquarters. No visa sponsorship is available for this position, and candidates must have authorization to work in the United States. The role is full-time, and performance is evaluated based on impact, ownership, and the ability to scale with the company's growth trajectory.