Senior Data Analyst

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. • • • • • • NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future • • • Data Analyst III Remote Long term Contract Responsibilities: • Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities. • Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks. • Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding. • Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions. • Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards. • Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis. Minimum Qualifications: • Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience. • 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields. • Proficiency with intermediate to advanced SQL concepts for data extraction. • Experience in managing multiple projects and meeting deadlines in a fast-paced environment. • Experience creating dashboards with Tableau, Power BI, Alteryx and other data visualization tools. • Experience with statistical analysis, including hypothesis testing, regression, and experimental design. • Experience with communicating and presenting findings to non-technical stakeholders. Preferred Qualifications: • Advanced technical degree or graduate degree in statistics, marketing, or related fields. • Experience measuring the performance of AI models • Experience with ETL pipeline development. Must-Have Skills: • End to end Dashboarding/ETL Pipeline developments within the product operations space. • Proficiency with intermediate to advanced SQL concepts for data extraction. Experience creating dashboards with Tableau, Power BI, Alteryx and other data visualization tools. • Experience with communicating and presenting findings to non-technical stakeholders. Nice-to-have Skills: • Big Tech experience. • Experience measuring the performance of AI models.