Sr Data Engineer - Power BI, SQL, Python & AI/ML Coding Tools

blueyonder

pune 5 Years Exp Posted 3h ago

Job Description

  • Define and standardize end-to-end partner processes and operating workflows, ensuring scalability and efficiency
  • Develop, maintain, and enforce Standard Operating Procedures (SOPs) across onboarding, engagement, and billing functions
  • Identify process gaps and lead optimization and automation initiatives to improve performance and reduce friction
  • Establish and maintain governance frameworks to ensure consistency, compliance, and scalability of partner monetization
  • Ensure pricing, billing, and commercialization models are accurately implemented and executed
  • Utilize tools such as Power BI, SQL, Python, and other analytics platforms to build scalable reporting and perform advanced analysis
  • Apply AI/ML techniques (e.g., forecasting, trend analysis, anomaly detection) to enhance reporting accuracy and business insights
  • Identify and recommend continuous improvement opportunities, and support implementation of strategic initiatives
  • Deliver actionable insights to leadership through data analysis, enabling informed decision-making and continuous improvement opportunities

 

What we are looking for:

  • Bachelor’s degree in computer science, IT, or related field with 5–8 years of relevant experience.
  • High ownership mindset with a bias for execution and results
  • Experience with Data Analysis and visualization tools (e.g., Power BI, Excel, etc.) and SQL
  • Proficiency in tools like JIRA, Confluence, Kibana, Lucid Charts, Visio is preferred but not required
  • Experience with Python, Git, AI/ML Coding Tools (GitHub CoPilot, Claude Code, etc…) is good to have
  • Strong experience in operations, analytics, or business operations roles
  • Proven ability to design and scale processes in complex environments
  • Ability to translate data into insights and influence decisions
  • Strong cross-functional collaboration and communication skills
    • Experience working with pricing, billing, or revenue operations is highly preferred