- As a Senior Data Analyst with 5+ years of demonstrated experience, you will transform complex datasets into actionable insights, build and maintain analytics infrastructure, and partner with cross-functional teams to drive data-informed decision-making and product improvements. Youll own the end-to-end analytics lifecyclefrom data modeling and dashboard creation to experimentation and KPI developmentensuring that our stakeholders have timely, accurate information to optimize operations and enhance customer experiences.

Key Responsibilities :

- Using the available data and data models, perform analyses that answer specific data questions and identify trends, patterns, and anomalies

- Build and maintain dashboards and reports using tools like Looker and Databricks; support monthly reporting requirements

- Collaborate with data engineers, data scientists, and product teams to support data initiatives for internal use as well as for end customers

- Present findings and insights to both technical and non-technical audiences provide visual aids, dashboards, reports and white papers that explain insights gained through the multiple analyses

- Monitor select data and dashboards for usage anomalies and flag for upsell and cross-sell opportunities

- Translate business requirements into technical specifications for data queries and models

- Assist in the development and maintenance of databases and data systems; collect, clean, and validate data from various sources to ensure accuracy and completeness

What You Need :

- Were seeking an experienced analyst who thrives in an agile, collaborative environment and enjoys tackling technical challenges.

Minimum Qualifications :

- Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics)

- 4+ years of experience in a data analysis or business intelligence role

- Proficiency in SQL, Python, Scala, Pyspark, and other data analyst languages and standards for data querying and manipulation

- Experience working in a collaborative coding environment (e.g., GitHub)

- Experience with data science, analysis, and visualization tools (e.g., Databricks, Looker, Spark, Power BI, plotly)

- Strong analytical and problem-solving skills with attention to detail

- Ability to communicate insights clearly and concisely to a variety of stakeholders

- Understanding of data lakes and data warehousing concepts and experience with data pipelines

- Knowledge of business systems is a plus (e.g., CRMs, demand gen tools, etc.