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What is the role of a Sr. Data Analyst, Pricing at Jobgether?

The Sr. Data Analyst, Pricing position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

What type of employment is offered for this Sr. Data Analyst, Pricing role?

Full-time or part-time position

What is the expected salary for this Sr. Data Analyst, Pricing job?

Compensation will be discussed during the hiring process.

Sr. Data Analyst, Pricing job near me in India at Jobgether

Sr. Data Analyst, Pricing

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Analyst, Pricing in India.

This is an exciting opportunity for a data-driven professional who thrives at the intersection of analytics, engineering, and business strategy. In this role, you will work with large-scale datasets to generate actionable insights that support pricing and business performance initiatives across global operations. You’ll collaborate closely with cross-functional stakeholders, leveraging modern cloud technologies and advanced data processing frameworks to build scalable solutions. The position offers exposure to cutting-edge analytics environments, distributed systems, and MLOps practices in a highly collaborative setting. Ideal for someone who enjoys solving complex data challenges, this role combines technical depth with meaningful business impact. You’ll also benefit from a flexible and growth-oriented environment that encourages innovation, continuous learning, and professional development.

Accountabilities:

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.

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.

Benefits:

Competitive salary package and comprehensive benefits plan.
Flexible remote or hybrid work options within India.
Access to extensive learning and development resources, including online certifications and technical training platforms.
Career growth opportunities within a global, innovation-driven organization.
Collaborative and inclusive work culture focused on diversity, equity, and belonging.
Exposure to modern cloud technologies, analytics platforms, and enterprise-scale data ecosystems.
Opportunities to contribute to sustainability initiatives, volunteer programs, and community-driven projects.
Work alongside high-performing global teams on impactful, large-scale business initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Sr. Data Analyst, Pricing in India at Jobgether

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