Senior Analyst, SonderMind

• This role is ideal if you are curious, comfortable working in a dynamic and fast paced environment, and relish the opportunity to tackle complicated business problems
• You should be excited about driving technology forward through ambiguity and enjoy learning new systems and tools
• You will be joining a Data Analytics and Analytics Engineering team that is driven, passionate, and collaborative
• Our ideal candidate should have exceptional attention to detail, strong work ethic, critical thinking skills, and high comfort communicating insights with leaders
• Technical proficiency in SQL statistical analytics/data visualization/business insight tools (e.g., Looker, Tableau, Alteryx, PowerBI). Python, R, Data Science, Snowflake, Redshift experience
• Experience assessing, implementing, and monitoring data validation and quality and experience in relational data modeling, schema design, and normalization
• 5+ years of work experience in relevant analytics/analytics engineering roles; specifically supporting external customer reporting via analytics to grow data understanding
• Demonstrated experience with and/or demonstrated capacity to quickly upskill on a range of business insight platforms, ETL tools, and data warehouse products
• Degree in statistics, computer science, applied math, or a quantitative behavioral sciences field, or equivalent combination of education and experience
• Curious: Seek to understand and pull the thread
• Courageous: Takes action, even when uncomfortable
• Lightful: Assume positive intent in others
• Authentic: Say what you mean, mean what you say, act accordingly
• Bucketworthy: Don’t let your bucket leak

Desirable

• SonderMind is looking to hire a Senior Analyst with an analytics/data engineering background or skillset to work with a high performing team of data analysts and data engineers responsible for the data structure, governance and insights that inform operational and strategic decision-making to drive our business forward
• This role will own or manage the end-to-end process to generate business insights and recommendations related to the enterprise solutions vertical at SonderMind
• You will be responsible for advising on or owning the data structure, integrity and governance and you will drive insights both internally for our teams and contribute to the external insights for our customers
• In the near term, you will support legacy client reporting with our current enterprise team, while simultaneously building the internal insights to inform the growth of a new business line, informing standardized reporting structure and developing unique insights for new enterprise customers
• Work flexibly across tech stacks and teams within the organization, owning (or driving recommendations on) data structure, integrity, accuracy and governance, including for new products
• Provide analysis and insights for work streams related to enterprise solutions to influence product decisions, support testing, and drive novel approaches to this new vertical
• Provide analytical support and reporting that will ultimately go to external customers outside with a customer centered approach. You will help shape this initial standardized reporting structure and develop additional insights that build data as a product
• Collaborate well throughout the organization, including with product, engineering, sales, and GTM leaders and communicate recommendations to leaders and project managers
• Success looks like:
• Within one month, you have a clear understanding of the legacy tech stack and the status quo reporting and data structure
• You have a clear understanding of the metrics that drive your business area you support and understanding the key players, and technologies that will be essential to your job
• Within two months you understand the drivers of our new vertical and are taking lead in the insights and data that shape the product, including advising on data structure and governance
• You are also owning, with assistance, the reporting cycle for legacy customers and are comfortable with the different systems you work in
• Within three months you are a trusted member of the business team and becoming the expert in your vertical. You are proactively tracking pilots and tests and surfacing insights to improve the GTM approach and product
• You have developed and socialized the initial key metrics for your vertical and have a clear sense of what success looks like for the enterprise business unit