Senior Data Analyst

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 datainformed decision-making and product improvements. Youll own the end-to-end analytics lifecycle—from data modeling

and dashboard creation to experimentation and KPI development—ensuring 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

• We’re seeking an experienced analyst who thrives in an agile, collaborative environment and enjoys tackling

technical challenges.

• Minimum Qualifications:

• Bachelor’s 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.