Senior Data Analyst

1 day ago

Hyderabad, Telangana, India Sonatype Full time

Description

  • 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.

)

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