What you'll do:

• Use our rich data warehouse and your problem solving skills to support Business Managers answer tricky questions about Customer Growth, Product adoption, and User behaviour etc.
• Find insights that help us understand how customers interact with our Transaction Products, using the large data sets we now have at our disposal (Stripe payment data, Demand Performance data, SM proprietary data on hotel bookings and product usage, Customer data, etc.). The team needs you to be creative in your usage and interpretation of the data, and translate these nuggets into actionable outcomes & plans.
• Suggest and run experiments that will move the metrics that matter : we want you to be the missing link between our Strategy teams & our Product teams and address questions that will drive business growth.
• Partner with our Business Managers and product teams to build, improve and maintain dashboards that track the health and growth of our customer base.
• Collaborate with Business Managers and Marketing teams to drive analysis and impact measurement for various growth campaigns utilising tools such as HighTouch, Intercom, Heap, etc.
• Support leadership on analysis required to drive key meetings (Monthly Reviews, Performance reporting sessions, etc.)
• Be a champion for data-driven decision making, analytics
• Own & maintain your projects, data models, dashboards, and use tools like Confluence, Google Drive, etc. proficiently to document and share your work for posterity in a fast-paced environment

• Explore usage patterns for Siteminder Pay customers to identify our best and worst users, and find ways to re-engage lapsed customers + drive adoption of the product.
• Partner with Business Managers to design, build and productionize a SM Pay, Demand and GDS Product Health scores, using the wealth of data we have at our disposal to quantify how successful customers are at deploying our product within their hotel.
• Revisit regional product pricing and value proposition to boost attachment of the product during the sales process, and optimise product unit economics.

What you have:

• 
  Professional Experience & Profile
• 2-4 years proven experience as a Consultant, Data Analyst or a similar analytical role.
• Bachelor's degree in Business, Finance, Statistics, Data science, Engineering or a related quant field. A Master's degree is a plus.
• You are a self starter with high energy and a proven ability to roll up your sleeves to get things done.
• You have experience optimising customer journeys, and running data-driven experiments to increase customer lifecycle value (churn, revenue, etc.)
• You are a team player with a humble attitude, you can give and take criticism.
• You have experience collaborating with business leaders to support strong data-led decision making.
• You have excellent communication skills and the ability to translate complicated technical analysis into compelling narratives that can be used to influence senior leaders.
• You have a keen eye for detail, a critical mind, and the ability to prioritise tasks and manage multiple projects simultaneously.
• You enjoy analysing business drivers and levers, getting deep into the data, using first principles thinking, and consistently delivering great results.
• Knowledge of the software industry or hospitality sector is advantageous but not essential.

• You have experience extracting, manipulating and interpreting data using SQL (Snowflake or Databricks experience preferred, but any will do).
• You are handy with data visualisation tools like Tableau or Looker and have a willingness to get better.
• You have experience with Excel and/or Google sheets and are confident analysing data + building models in excel using excel functions (lookups, pivots, formatting, manipulation and transformation, visualisation)
• Bonus: You have experience with Salesforce.
• Bonus: You have experience with Customer Engagement & Marketing automation software like Marketo, Intercom or Salesforce Marketing cloud.
• Bonus: You have experience with ETL or Reverse ETL tools like Fivetran, Hightouch, Census.
• Bonus: You have experience with advanced analytical tools like R, Python

• Equity packages for you to be a part of the SiteMinder journey
• Hybrid working model (in-office & from home)
• Mental health and well-being initiatives
• Generous parental (including secondary) leave policy
• Paid birthday, study and volunteering leave every year
• Sponsored social clubs, team events, and celebrations
• Employee Resource Groups (ERG) to help you connect and get involved
• Investment in your personal growth offering training for your advancement