Senior Data Analyst

• Share insights. You will extract insights from the data to learn more about our members. You will distill the technical language from these insights to translate your findings into accessible, engaging language, data visualizations, and other forms of presentation for our leadership and non-technical teams to understand and apply.
• Code. You will use Python and SQL to gather, clean, organize, and analyze structured and non-structured data. You will draw on your insights and experience to choose the most effective and impact charts, graphs, and diagrams to illustrate the results and recommendations of your data analysis.
• Analyze. You will dive into the consumer data to generate owner-specific reports. You will explore anomalies, finding root causes or drawing attention to trends that can be capitalized.
• Collaborate. You will work as part of the Analytics and Data Engineering teams to automate processes, improve the data quality for our machine learning models and add more value to our loyalty product.

• The experience. You can tell a story with data and visual presentations. You have worked as a Data or Business Analyst at a fast-paced startup in a collaborative and autonomous role. Or, you may be coming from another industry and looking for a challenge to innovate and propose changes with less red tape and more responsiveness. You enjoy continuously exploring what can be learned and applied from data.
• The technical skills. You know how to use the latest tools to work with terabytes of data - defining the query parameters, accessing large sets, conducting analyses, and gleaning insights. You are proficient in Python, SQL, and Tableau and can quickly come up to speed with new technologies. You have in-depth experience building reports connecting data sources and creating visualizations that present the data most effectively.
• Interpersonal skills. You can nurture relationships across internal and external teams. You have professional communication skills, including making presentations to senior leadership. You can translate complex data analytics and findings into visualizations and actionable insights for different audiences and levels.

• Member Focus: We prioritize the needs and experiences of our members in everything we do.
• Teamwork: We believe in the power of collaboration and working together to achieve our goals.
• Continuous Improvement: We strive for excellence by constantly seeking ways to improve and innovate.
• Integrity: We uphold the highest standards of honesty and transparency in our actions.
• Results Driven: We are committed to achieving outstanding outcomes and delivering value.
• Passion: We are passionate about our work and dedicated to making a positive impact.

• A virtual interview with a Talent Advisor discussing your interest in the role and the company and how you will make an impact as our new Senior Data Analyst, followed by a SQL assessment. The conversation will be recorded using BrightHire, an AI-powered video interview tool. More details will be shared when you are invited to interview.
• A virtual interview with the Senior Manager Analytics and a case study exercise. You will have the chance to learn more about the team and to share your experience. It's a chance to ask questions about the company and the role.
• An in person interview with the Director, Data Science to dive deeper into your technical experience, discuss current projects, and explore how you could contribute to the team’s success.
• A final interview with the SVP, Data & Analytics to share why you are interested in joining Scene+ in this role, and share more about your professional goals. It's a chance to ask questions about the company's growth trajectory.

Scene+