Senior Data Analyst

Responsibilities:

• Proactively identify and champion projects that solve complex problems in important business areas. 
• Partner closely with marketing, product, engineering, and other business leaders to construct forecasts, recommendations and strategic/tactical plans based on our data and market knowledge
• Holistically own general problems in those product/business domains and understand how those problems/domains interact with the rest of Donorbox.
• Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
• Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to inform improvements to our business
• Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to determine workflow and define models, tables or schemas that support business processes
• Influence leadership to use a data-driven approach for informed decisions
• Define and advance best practices for data analytics and data science

Qualifications & Experience:

• Bachelor's degree in Business, Finance, Accounting, Statistics, Data Science or related field and 4 years experience in data analytics or related field 
• Deep understanding of Advanced SQL techniques and data modeling 
• In-depth knowledge of visualization tools, data modeling, data transformation, and data visualization
• Experience in marketing analytics with design experiments, developing statistical models, measuring campaigns, and identifying optimization opportunities, or using data and analytics in technology or SaaS
• Experience in data science, building robust data pipelines and solving high impact business problems
• Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture across our company
• Well versed with various Business Intelligence platforms and tools
• Experience working with various levels of business stakeholders, from c-suite to engineering and product development teams.
• Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
• Experience creating data product strategies, building data products, and continued iteration after launch