Senior Business Intelligence Analyst

About the role:

As a Senior Business Intelligence Analyst, you'll play a key role in driving our data strategy forward. Collaborating with stakeholders across the company, you'll uncover business priorities, translate them into analytical needs, and deliver insights that fuel impactful decisions. Your efforts will ensure our data is accurate, accessible, and aligned with our strategic goals.

In this role, you’ll go beyond delivering analytics by enabling teams with self-service tools and preparing data for advanced analytics and machine learning initiatives, making it easier for the organization to act on data with confidence.

We will prioritize applications received by February 7th to ensure timely review and response. While applications may remain open after this date, those submitted later may experience a slower review process.

What you’ll do:

• Business Intelligence & Analytics:

  • Produce actionable BI analytics to inform strategic decisions, with a focus on aligning insights to key business priorities and metrics.

  • Partner with cross-functional teams to identify and prioritize data needs, ensuring alignment with organizational goals.

  • Build dashboards, visualizations, and reporting tools that provide clarity and visibility into business performance.

• Working Backwards from Business Impact:

  • Collaborate with stakeholders to understand business challenges and translate them into clear data requirements and actionable insights.

  • Regularly review and refine BI initiatives to ensure they address evolving business objectives.

• Data Transformation & Management:

  • Collaborate with data engineering to maintain and optimize transformation models, ensuring clean, well-structured data in our data lake.

  • Leverage tools like Databricks to process and analyze large datasets effectively.

• Self-Service Enablement:

  • Work closely with data science to prepare data for machine learning, including feature engineering and preprocessing.

  • Integrate machine learning outputs into BI tools and workflows, enabling stakeholders to use advanced analytics in decision-making.

• Data Quality Assurance:

  • Develop and execute rigorous QA processes to validate the accuracy and reliability of data from both external and internal sources. Strategic Collaboration:

  • Act as a strategic partner to leadership by providing data-driven recommendations that impact company goals.

  • Participate in roadmap planning to ensure BI initiatives align with the broader company strategy.

• Governance & Best Practices:

  • Establish and enforce best practices for data management, reporting, and analysis across the organization.

What you bring to the table:

• 5+ years of relevant professional experience in business intelligence, data analytics, or a related role, with a focus on aligning analytics with business goals.

• Proven track record of producing insights that have directly impacted business outcomes.

• Strong expertise in BI tools and data manipulation languages (e.g., SQL, Python).

• Experience working with data lakes, data transformation models, and large-scale data processing tools (e.g., Spark, Databricks).

• Familiarity with machine learning workflows and integrating ML outputs into decision-making processes.

• Building, managing and scaling complex data pipelines from internal and external sources to map to data warehouse schema

• Support data process automation workflows to improve effectiveness of stakeholders analytics processes with various internal and external data sources

• Ability to work backward from business requirements to develop analytical solutions.

• Excellent communication skills, with the ability to convey complex insights to non-technical stakeholders.

• Hands-on experience establishing processes, building out infrastructure, and identifying opportunities to drive self-service analytics to support a scaling business

• Be a true self starter who identifies needs, writes accessible documentation, and takes ownership over analytic products with stakeholder input

Nice to haves:

• Experience in the travel or e-commerce industry

• Experience at a subscription company

• Experience working with flight data

• Some experience in our data engineering stack (i.e. AWS, Iceberg, dbt, Spark, Starburst (Trino), Airflow, and Databricks)

Why you might love working here:

• The salary for this role is $145,000 + equity

• 100% remote work environment

• Annual team retreats, with past destinations including Washington D.C., Vancouver, Punta Cana, and Mexico City.

• Open vacation policy, with a 15-day minimum

• Comprehensive health, vision, dental, and life insurance

• 401(k) with a 5% match

• $750/quarter remote work, wellness, and wisdom stipend

• Up to 12 weeks of paid family leave

• Meetup stipend when you cross paths with a co-worker

• Challenging problems to solve and an awesome team to collaborate with every single day

We want you to bring your authentic self to work every single day. We accept you for who you are and consider everyone on an equal opportunity basis without regard to ancestry; age; appearance; color; gender identity and/or expression; genetics; family or parental status; marital, civil union, or domestic partnership status; mental, physical, or sensory disability; national, social or ethnic origin; past or present military service; sexual orientation; socioeconomic status; race; religion or belief; hair length; organ donor status. Going is an E-Verify employer.

‍If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact us at [email protected] and let us know the nature of your request.

Compensation Range: $145K

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