Senior Data Analyst (Hybrid & Remote - US)

Expert at developing analytical dashboards using BI tools (Tableau, Power BI, etc.) preferably Tableau Strong proficiency with SQL or other database querying language, preferably 3+ years Advanced knowledge of building analytical models using a programming language, such as R or Python, preferably 3+ years with Python Leadership experience and comfortable taking initiative in leading and growing a small team Excellent communication and presentation skills, ability to use MS ppt, MS office in presentations Capable of working independently and working with non-technical managers Advanced knowledge of basic data warehousing principles Advanced knowledge of ETL design Advanced knowledge and experience with MS Office Suite Can work with fast or changing deadlines in a fast-paced environment Able to navigate multiple interrelated projects Enthusiastic about data and analytics, learning new techniques and skills, and working with data scientists and engineers

Develop, maintain, and own analytical models and dashboards for internal and external clients Prepare reports for leadership that communicate trends, patterns, and forecasts to inform business decisions Translate quantitative data into visual reports for non-technical audiences and provide clear analysis of the data Responsible for the quality and accuracy of data analyses; work with data engineers and other team members to establish QA systems and standards and flag data errors Develop and track key performance metrics Assist data engineering team in troubleshooting based upon your knowledge of the product lines and compliance requirements Coordinate cross-functionally across various teams to support data analytics and streamline data pipelines Mentor and provide guidance to other members of the data analysis/engineering team Collaborate in setting goals for the data analysis team and driving those goals forward Identify areas where improvements in data analytics processes and/or tools can bring more value to clients Lead the development of company best practices around data analytics, dashboarding, and reporting