Revenue Analytics

Data Scientist (Entry Level)

Job description

Are you curious about applying analytics to business problems and interested in a career in data science? In this role you’ll contribute right away by digging into data to understand patterns in our customer’s business, set up reporting on key success metrics, and uncover opportunities for improving our core algorithms. Plus, over time we’ll train you on our advanced analytics and machine learning models so you can grow into a full data science role.

Day in the Life

    • Perform rigorous data validation and conduct deep dive analysis to understand each customer’s unique business needs to drive product configuration decisions (using SQL or Python). Examples include:
    • o Analysis to understand seasonal patterns in a customer’s demand
      o Analysis to understand a customer’s current pricing volatility
      o Analysis to identify markets or segments with largest opportunities for revenue growth
    • Net out analysis results in business, non-technical terms, providing details into key assumptions, business impact, and recommendations for next steps
    • Validate outputs of optimization and machine learning models to ensure that they meet accuracy and business reasonability expectations, updating configurations as needed based on findings
    • Influence product development roadmap by evaluating the impact of potential new analytical features on product performance
    • Collaborate with cross‐functional peers to implement transformational products for customers

Who You Are

    • Bachelor’s degree with strong academic credentials required, Master’s optional (Engineering, Economics, or Mathematics preferred)
    • Creative analytical capabilities and problem-solving skills, leveraging data analysis tools (proficiency in SQL or Python required)
    • Intellectual curiosity and eagerness to apply rigorous analytics to business problems
    • Demonstrates commitment to personal growth, achieving personal goals, and growing knowledge in the areas of advanced analytics and Machine Learning
    • Set a high standard for your work and hold yourself accountable for achieving those standards
    • Ability to proactively manage multiple commitments and tasks across multiple customers
    • Excels in a highly collaborative team environment with a diverse set of teams and perspectives
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.

Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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