Sr. Data Analyst (NCS/Job/ 2448)

What You’ll Do
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. You’ll 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.