Sr. Data Analyst, Pricing
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum 3 years
- Required Skills
- PythonSQLCloud ComputingSnowflakeData engineeringGitHubMLOpsPySpark
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Minimum 3 years of experience in data analytics, business analytics, or data engineering roles.
- Strong expertise in SQL, including advanced joins, CTEs, window functions, and query optimization techniques.
- Hands-on experience with Snowflake, including data warehousing, orchestration, query tuning, and Snowpark functionalities.
- Proficiency in Python for data processing, automation, and analytical workflows.
- Experience with distributed data processing tools such as PySpark or Snowpark.
- Understanding of MLOps concepts, CI/CD pipelines, and model lifecycle management.
- Familiarity with GitHub workflows, branching strategies, and collaborative development practices.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Strong analytical thinking, problem-solving skills, and the ability to work independently with minimal supervision.
- Excellent communication and stakeholder collaboration skills in cross-functional and remote work environments.
Responsibilities
- Collect, transform, validate, and analyze large volumes of structured and unstructured data to support pricing and business analytics initiatives.
- Design, develop, and maintain scalable ETL/ELT pipelines using SQL, Python, and distributed processing frameworks such as PySpark or Snowpark.
- Build and optimize cloud-based data solutions on Snowflake, ensuring strong performance, reliability, and scalability.
- Collaborate with business stakeholders, IT teams, and product groups to translate analytical requirements into efficient technical solutions.
- Support MLOps workflows, including automation, deployment, monitoring, and reproducibility of analytical models and processes.
- Develop reusable workflows and exploratory analyses in Jupyter Lab while maintaining clean documentation and version control practices using GitHub.
- Troubleshoot complex data quality and integration issues to ensure accurate, accessible, and reliable reporting environments.
- Manage multiple projects independently in a fast-paced and highly collaborative global environment.
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