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Principal Data Analyst

Ingram Micro
Chennai, IND
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Advanced SQLPythonStatistical and machine learning modelingNumPypandasscikit-learn

Full Job Posting

About Ingram Micro

Ingram Micro serves the global IT ecosystem, connecting technology manufacturers and cloud providers with business-to-business technology experts.

Its offerings include the AI-powered Xvantage platform and technology services such as financing, specialized marketing, lifecycle management, and pre- and post-sales support.

Position summary

The Principal, Data Analytics develops advanced analytical and machine learning solutions for initiatives across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.

The role combines hands-on modeling, analytical judgment, and business partnership.

Responsibilities

  • Structure complex, ambiguous business problems and propose innovative, technically sound analytical approaches.
  • Clarify stakeholder requirements, assess analytical feasibility, and shape technical roadmaps for high-impact initiatives.
  • Independently scope, lead, and deliver analytical workstreams with minimal guidance and high-quality, timely outputs.
  • Generate insights on revenue growth, customer patterns, and operational efficiencies and translate them into actionable recommendations.
  • Build, optimize, and deploy predictive and machine learning models.
  • Lead analytics workstreams, collaborate across functions, and apply financial and analytical judgment to identify opportunities.

Qualifications

  • Bachelor's degree in a quantitative field required; master's degree preferred.
  • 8+ years of functional experience, including at least 5 years in data science or advanced analytics.
  • Advanced SQL and strong Python-based analytical and modeling skills.
  • Proficiency with visualization tools such as Google Looker, Qlik, Power BI, or Plotly Dash.
  • Experience with GCP; BigQuery and Vertex AI are a plus.
  • Strong communication, influence, storytelling, and presentation skills; able to communicate complex insights and create executive-ready materials.
  • Innovative thinker who can challenge assumptions, navigate ambiguity, and adapt quickly.

Preferred qualifications

  • B2B, distribution, or supply-chain analytics experience is preferred.
  • MLOps and model deployment knowledge is preferred.
  • Exposure to GenAI, LLM workflows, or automation solutions is preferred.

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