Partner with stakeholders across business units (i.e., product, software development, marketing, sales, client success, finance, security, compliance) to develop KPIs, analyses and documentation in a collaborative way, communicating effectively and efficiently at the appropriate level of detail for each audience;
Oversee all reporting functions, ensuring accuracy, integrity, and ease of interpretation;
Consistently meet regular reporting deadlines around varying sets of metrics to board of directors, finance, product, and other stakeholders;
Support client-facing members of the team with routine and ad hoc data analyses to support marketing, sales and client success efforts;
Support internal product development members of the team with routine and ad hoc analyses to inform new feature evaluation, opportunities for product optimization, patterns of engagement, and outcomes;
Develop and maintain infrastructure to support revenue forecasting and modeling;
Responsible for identifying opportunities for increased efficiency, rigor, and productivity related to our breadth of data needs;
Manage the work of the Data Analyst, including mentoring and supporting opportunities for professional development beyond hands-on experience
QUALIFICATIONS:
You should have many of these qualifications, but all are not required:
Master’s degree in a relevant field (e.g., statistics, business analytics, data analytics, public health);
5+ years’ experience in data analysis and advanced statistics;
Proficiency with data management, PostgreSQL (or other RDBMS), and a programming language such as R or Python is paramount;
Proficiency with other services in our tech stack, notably AWS, Tableau, Adobe Analytics is a plus;
Experience developing and maintaining data pipelines is a plus;
Strong analytical abilities and experience with data visualization/synthesis;
Exceptional written and oral communication skills, including a demonstrated ability to influence key stakeholders to support proposed strategies, process improvements and operational decisions;
Outstanding execution and project management abilities and a demonstrated ability to prioritize across multiple, often-competing deadlines;
Strong leadership and interpersonal skills
Requirements
Python, SQL, SQL - Structured Query Language, Tableau, KPI Reporting