Analytics Engineer

• Define and manage data product roadmap, epics, and tasks needed to deliver client outcomes
• Transform raw data into actionable insights that drive strategic business decisions
• Analyze data to identify trends, patterns, and insights
• Leverage your expertise in data visualization in tools such as Databricks, Tableau, Power BI and MS Excel to create compelling visual representations of your findings
• Assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide
• Develop detailed reports that summarize your analyses, offering clear and concise recommendations to support decision-making processes

Data Analytics Specialist

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns.
• Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness.
• Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts.
• Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs.
• Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets.
• Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own.
• Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management.
• Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.

Staff Analytics Engineer, Subledger Platform

• You will be the hands-on owner of our analytics and data ecosystem, transforming complex data into actionable insights that drive strategic decision-making.
• In this role, you will manage, build, maintain, and ingest data from various source systems (such as HRIS, ATS, and Identity).
• We are looking for an ambidextrous engineer who is highly proficient in using Claude Code and other GenAI tools to rapidly build both the middle data layer (canonical models, semantic layers) and the app layer.
• Through this hybrid approach, you will surface insights and create beautiful UI visuals that translate complex data into clear, compelling narratives for end users.

Full-Stack Analytics Engineer, II

• Maintain and expand the company’s analytical data model using Snowflake and dbt, ensuring datasets are reliable, well-structured, and easy to use.
• Partner with stakeholders to understand reporting and analytics needs and translate them into new models and datasets.
• Investigate discrepancies in metrics and datasets and perform root-cause analysis across systems.
• Monitor and maintain ELT pipelines across our data stack.
• Investigate and resolve pipeline failures, schema changes, and data inconsistencies.
• Identify opportunities to improve pipeline reliability, efficiency, and cost effectiveness.
• Expand documentation across the data model to clearly describe business logic, relationships, and definitions.
• Ensure datasets are clearly structured and documented so they can be reliably used across analytics tools and internal workflows.
• Contribute to the structured AI data context files that help internal AI tools accurately interpret datasets and metrics.
• Help maintain data governance standards, including contributing to PII masking policies and ensuring sensitive customer data is handled appropriately across the data platform.
• Work closely with Product, Revenue, and Operations teams to understand their data needs and questions.
• Help stakeholders navigate the data model and identify the most appropriate datasets for their use cases.
• Occasionally build or modify Hex projects to support data exploration or reporting needs.

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Data Analytics Specialist

Staff Analytics Engineer, Subledger Platform

Full-Stack Analytics Engineer, II

Analytics Engineer