Analytics Engineer​/Developer, Finance

Hi, I’m Pam, Senior Finance Manager ’re an online music education company working toward a simple idea: a world where everyone can play music. We’re looking for a Data/Analytics Engineer who can help us use data to power our decisions. This role is about building the data foundation that helps us understand our business clearly and move with confidence. You’ll design and maintain the systems that connect our data, improve its reliability, and make it easier for teams across Musora to make smart, informed decisions.

Your work won’t just live in dashboards or pipelines. It will directly support how we grow, invest, and continue to create better learning experiences for our students.

• Design, build, and maintain data pipelines and integrations across Finance‑related systems such as billing platforms, ERP, product, marketing, and payroll.
• Develop APIs, connectors, and automated workflows to ensure data flows reliably between systems.
• Own the structure and integrity of data used in Finance systems and reporting.
• Partner with internal teams and external vendors to ensure systems are correctly configured and scalable.

• Identify gaps, inconsistencies, and risks in financial and operational data.
• Implement validation checks, monitoring, and documentation to improve data reliability.
• Support the definition and consistency of key financial and operational metrics.

• Build dashboards and reports that translate complex data into clear, actionable insights for Finance and leadership.
• Design data outputs that support decision‑making across pricing, growth, cost management, and cash planning.
• Enable real‑time visibility into key metrics so leaders can quickly understand performance and underlying drivers.
• Present data in a way that supports clear communication and business storytelling.

• Automate recurring Finance workflows such as reporting, reconciliations, and data aggregation.
• Use modern AI tools to accelerate data workflows, including query generation, automation, and data exploration.
• Introduce scalable, technology‑driven solutions to improve efficiency and reduce manual effort.
• Continuously improve how Finance uses data to operate efficiently and at scale.

• Work closely with Finance, Product, Marketing, and Data teams to centralize and connect data across the business, including financial and operational data.
• Help create a cohesive view of business performance by connecting customer behavior, revenue, costs, and retention.
• Act as a bridge between technical and non‑technical stakeholders, ensuring data is accessible and usable in decision‑making.

• 3–7 years of experience in data analysis, analytics engineering, or a similar role.
• Strong SQL skills and ability to translate business questions into efficient, readable queries.
• Experience working with data pipelines, APIs, or ETL tools.
• Experience building dashboards that communicate insights clearly to non‑technical stakeholders.
• Comfortable working across multiple systems and understanding how data flows between them.
• Experience working with modern data stacks such as Snowflake, dbt, Fivetran, or similar tools.
• Familiarity with AI‑assisted development tools or workflows is an asset.
• Exposure to SaaS or subscription‑based business models is an asset.
• Interest in Finance, business operations, or how companies make money.

• Data Warehouse:
  Snowflake
• Transformation: dbt
• Reporting and Visualization:
  Looker, Quick Sight
• Data Movement:
  Fivetran, Stitch, Rudderstack
• Product and Analytics Tools:
  Mixpanel
• Languages and Tools: SQL, Python, R
• Infrastructure: AWS, Linux, Git Hub
• Additional Tools:
  Hugging Face and modern AI tooling

• Initial Call with Talent Team Member - Virtual
• Hiring Manager Interview - Virtual
• Technical Interview - Virtual
• Final Interview - In Person including Hiring Manager, CFO and 2 Peer

• Extended Benefits:
  Comprehensive health coverage, including prescriptions, dental, vision, and mental health support for full‑time, permanent team members.
• Paid Time Off:
  Fully supported rest and…