The Role: 

As a Business Intelligence & Reporting Analyst, you will be responsible for conducting diverse data analysis in order to illuminate mission-critical business insights. Your conclusions will be used to identify, measure, and drive focus for our team's progress in areas across the business, including Sales, Marketing, Customer Support, and Product. The vital work you will spearhead is essential to the business, helping us establish the best path forward. Reporting through Revenue Operations, you will be a solution-oriented partner to our go-to-market teams.   

Essential duties and responsibilities: 

• Own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Educate and train users to drive the usage of reports. Simplify and manage the lifecycle of reports that are no longer necessary
• Use SQL to dive deeply into Hotel Engine’s business to respond to ad-hoc requests and provide relevant analysis
• Engage directly with internal business teams to determine and document KPIs and Business Intelligence requirements
• Standardize business and product metric definitions in curated and optimized datasets
• Recognize and adopt standard methodologies in reporting and analysis. Use data mining, model building, and other analytical techniques to drive insights.
• Learn and understand an increasingly broad range of Hotel Engine's data resources and know when, how, and which to use and which not to use based on technology and business context.
• Analyze data to shed light on key business questions and present on findings
• Build and maintain user-friendly documentation for data models, metrics, and reporting
• Drive continuous learning by proactively identifying marketing opportunity areas to increase conversion, translating them into structured analysis, generating actionable insights, and advocating for proposed next steps to key stakeholders 

Here's what we're looking for: 

• Bachelor's Degree in one of the following areas: Finance, Marketing, Engineering, Economics, Mathematics/Statistics, or Data Science
• 5+ years total relevant work experience 
• Proficiency in one or more of the following programming languages: SQL, R, VBA, Sass, Python, and/or experience in working with Google BigQuery.
• Advanced SQL skills, with experience using SQL to perform analysis, standardize queries, and build large-scale relational datasets
• Experience using Python to parse, structure, and transform data
• Advanced experience with Excel
• Experience with Salesforce and SFDC integrations
• Experience developing, deploying, and maintaining enterprise level reports using BI tools such as Tableau, Power BI, Looker, or other relevant technologies
• Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
• Strong quantitative reasoning, aptitude for discussing business performance in terms of data points, and ability to quickly learn new business lines, technology enablers, and data sources
• Outstanding verbal/written communication & data presentation skills, including effectively communicating with both business and technical teams, using email, Google Docs, Google Sheets, Google Slides, and Lucidcharts (or MS-equivalents Excel, Visio, and PowerPoint)
• Ability to prioritize and execute tasks in a high-pressure, constantly changing environment.  Strong knowledge of statistics (Hypotheses testing, Regression Analysis, Causality Analysis)
• Demonstrated ability to frame complex analytical problems and extract as well as articulate insights that led to tangible business results
• Your history and ability to engage with and influence the most senior decision-makers across the company and our customer and vendor ecosystems will add to your success in this role

Cash compensation: 

• The base salary range for this role is $85,000 - $100,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

• This role is eligible for remote work within the U.S.