Data Analyst, Technical

Flourish is hiring a Data Analyst, Technical with 5 - 10 years of experience. Based in United States - New York, NY and with Hybrid ways of working.Job description and responsibilities:You are detail oriented with focus on accuracy and integrity as you work with and present data. You have sound judgment in determining when to prioritize speed versus quality. You work hard to first understand the root problem that your customers are trying to solve when they ask for data or analysis and you have the experience and technical skills to devise effective, scalable solutions to meet their needs in a timely manner.You strive for clarity and consistency in communicating with others, avoiding unnecessary jargon, acronyms, etc. You have the ability to develop expert-level knowledge in multiple areas of a business and to discuss these topics with other experts and non-experts alike. You are creative when it comes to thinking through data and apply advanced conceptual thinking and non-standard methodology where possible.You are seeking a small, fast-moving, and high-performing team where you will have the opportunity to make a real impact on all parts of the business as it grows and evolves. You want to help build a company and work with like-minded people.About The RoleYour work will provide a critical contribution by delivering reporting, analysis and insights derived from a variety of data sources to partners across the Flourish business. You will work in an agile manner to deliver meaningful value to your internal customers and be responsible for managing your own time and workstream. You will architect and develop ETL pipelines as well as analytics, insights and visualizations. You have a strong grasp of best practices for data warehousing and Business Intelligence without getting caught up with orthodoxy.You thrive in a work environment that requires strong critical thinking skills and self-direction, as well as constant collaboration. You can give and receive thoughtful feedback, and are excited to start on the next iteration of your work. Your work will enable the Flourish team to monitor and measure the business and progress towards our goals.Principal Responsibilities• Partner with all Flourish product development teams to ensure that data essential to measuring our business and product is captured effectively and efficiently.• Design, develop, deploy, and maintain ETL logic that builds our data warehouse and other common building blocks• Work in a BI tool (e.g. Tableau) to build, automate and maintain key outputs from this data, including dashboards, reports and interactive data sets• Perform ad hoc research and analysis using data in both a warehouse database and in a BI tool• Write and maintain documentation covering the key areas that you work in• Teach technical and non-technical users how to work with various Flourish data resources• Work directly with internal customers across Flourish, taking ownership of determining root problems, devising solutions, and managing communications along the way• Work independently and collaboratively with the team on highly visible cross-divisional projects• Drive continuous improvement and efficiencies as related to our data warehouse and track effectiveness of our toolsRequirements and qualifications:Minimum Qualifications• Bachelor's Degree in science, technology, engineering or math or equivalent experience• 5+ years working in business intelligence, analytics, data engineering, data science or similar related technical workPreferred Qualifications• Strong skill with SQL (Postgres preferred)• Medium to Strong skill with Python and Python-related ecosystem for data engineering (e.g. Pandas, NumPy, etc.)• Experience working with BI visualization tools (e.g. Tableau)• General experience working with a major cloud provider (e.g. AWS, Azure, Google Cloud)• Ability to set and stick to deadlines, allowing for shifting priorities while engaged in concurrent workstreams• Ability to work with minimal supervision, exercising ownership of projects from start to finish• Strong written and verbal communication skills are essential• Strong presentation skills are essential, including: group speaking and data visualization• Proven history of assembling and presenting analysis to non-data specialist audiences• Experience building automated reports and analyses, from development to production• MS or PhD in Computer Science, Math, Physics or Engineering• Experience working on shared data pipelines from inception through to production• Experience working collaboratively with source code control (e.g. Github)• Experience working within a heavily regulated industry• Experience working in a startup, growth stage company, or similar environment