Principal Analyst, Insights

Job Description

Description: Principal Data Analyst will be responsible for analyzing complex datasets, identifying opportunities for process improvements, and implementing automation solutions to streamline workflows. This role requires a deep understanding of data analytics, process automation tools, and excellent problem-solving skills. The ideal candidate will be proactive, detail-oriented, and able to work collaboratively with cross-functional teams to drive data-driven initiatives. What you ll do: Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. Develop, implement, and maintain automated processes to improve data accuracy, efficiency,and reporting capabilities. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Design and build automated dashboards and reports to provide real-time insights to various departments. Utilize data visualization tools to present findings in a clear and actionable manner. Continuously monitor and refine automated processes to ensure optimal performance and scalability. Stay updated with industry trends and best practices in data analytics and process automation. Mentor and provide guidance to junior data analysts on best practices and technical skills. Who you are: A great communicator who can convey complex technical features in simple terms. Able to multitask and prioritize among several high-profile clients. Have a high degree of creativity, self-motivation, and drive. Eagerness to work in a startup team environment that will be rapidly changing. Enthusiastic team player with a penchant for collaboration and knowledge sharing. Willingness to do whatever it takes to get the job done. Nerdy but loveable. Data driven, technical, self-starting and curious. What you need: Bachelor s or Master s degree in data science, Computer Science, Statistics, or a related field. Minimum of 3-4 years of experience in data analysis, with a focus on process automation. A minimum of 2 years of work experience in analytics (minimum of 1 year with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Experience with combining and consolidating disparate datasets in apps such as Big Query, Data Bricks Proficiency in programming languages such as Python, R, or SQL. Extensive experience with data visualization tools such as Tableau, Power BI or similar. Strong knowledge of process automation tools and platforms (e.g., Alteryx, UiPath, Microsoft Power Automate). Experience with database management systems (e.g., SQL Server, MySQL, PostgreSQL). Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced, collaborative environment. Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders. Experience with machine learning and predictive analytics is a plus. Bonus if you have: Master s or Ph.D. Degree in a quantitative field.