• An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
• 3+ years applied experience in business intelligence and/or data modeling
• Proficiency in database modeling, SQL, and data warehousing principles
• Proficiency in understanding business requirements and translating them to data sets in a data warehouse
• Experience with version control concepts and tools (Git)
• Experience building data models and sets to be consumed for reporting and analytics using dbt
• Familiar with concepts involving data modeling techniques such as Star schema and knowledge of Normalization/DeNormalization concepts
• Experience building analytics to drive operational efficiency and/or impact revenue (e.g., renewal models, TAM, churn analysis)
• Proficiency with data visualization and data storytelling
• Excellent written and verbal communication skills

Desirable

• We are looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values
• You will own our analytics infrastructure and be responsible for collecting, managing, and analyzing data to develop insights and recommendations to enable the business to take action and make better decisions
• You will drive new analytics projects, maintain and evolve existing reporting and dashboards, respond to incoming data requests, and implement data best practices and processes for consistency and scalability
• Partnering with stakeholders, self-serve report creators, data scientists, and data engineers, to create meaningful, intentional data solutions
• Creating and editing data models for users to answer business questions and optimize queries and reports for performance
• Decoupling analytics logic from BI dashboards and create unified data models using dbt that can be used to answer specific business questions
• Similar to the above responsibility, in order to drive new analytics projects, envisioning and delivering data sets that encompass key data points for core business subject areas, such as customer success, and revenue operations
• Understanding in-depth functioning of the business and how metrics related to business performance and leveraging your technical expertise and business acumen to make it easy for stakeholders to understand data
• Maintaining and evolving existing reporting and dashboards, responding to incoming data requests, and implementing data best practices and processes for consistency and scalability
• Effectively communicating findings and feedback to technical and non-technical stakeholders
• Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards
• Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making
• Working closely with the data engineering team, software developers, and/or 3rd party vendors to turn newly acquired raw data into a report/analysis -ready shape