Sr. Data Analytics Lead

Deloitte•San Jose, CA
•$122,000 - $210,000•Hybrid

About The Position

Deloitte is hiring a senior, hands-on analytics leader to own metrics, instrumentation, and reporting across multiple lines of business. The role involves independently setting priorities and driving work from definition through delivery, while communicating findings to business leaders and working with engineers. It is part of Deloitte’s Project Delivery Talent Model, which is tailored for long-term, onsite client service delivery, and is described as a hybrid role with onsite work Tuesday through Thursday. The position sits within AI & Engineering, which builds and operates integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. The team helps clients modernize technology and data platforms and transform mission-critical operations. The role may involve travel averaging 10%, depending on the work and clients served.

Requirements

  • At least 8 years of relevant experience in analytics, data engineering, writing instrumentation specifications, and/or creating visualizations.
  • Strong data skills, including data validation, quality assessment, pattern discovery, and process-improvement recommendations.
  • Proficiency in SQL and Spark.
  • Practical experience using AI tools for data exploration, mining, and analysis.
  • Hands-on data engineering experience to support scalable metrics pipelines as needed.
  • Excellent written and verbal communication skills, with the ability to tailor messages to technical and non-technical audiences.
  • Ability to work independently and manage multiple priorities without close supervision.
  • Bachelor’s degree in economics, finance, statistics, mathematics, econometrics, or applied social sciences.
  • Ability to travel an average of 10%, based on assigned work and clients.
  • Effective interpersonal skills, professional demeanor, attention to detail, and commitment to quality.

Nice To Haves

  • Experience owning a metric end to end, from instrumentation through pipeline to dashboard.
  • Track record of presenting to senior stakeholders and influencing decisions with data.
  • Experience supporting multiple business domains at once.

Responsibilities

  • Own analytics and metrics for multiple lines of business, from defining measures to delivering trusted, decision-ready reporting.
  • Write instrumentation specifications so engineering teams capture data accurately and consistently.
  • Design, build, and maintain scalable metrics pipelines, providing hands-on data engineering as needed.
  • Validate data, identify quality issues, trace them to their source, and recommend improvements.
  • Explore, mine, and analyze large datasets to identify patterns and develop actionable insights.
  • Create dashboards and visualizations that make complex data understandable to broad audiences.
  • Partner with technical and non-technical stakeholders and present findings and recommendations.
  • Serve as the primary contact for questions about data, metrics, and reporting in owned business areas.
  • Lead projects or workstreams and mentor others by providing clear guidance.
  • Manage and prioritize multiple tasks in a fast-paced, dynamic environment and meet deadlines.
  • Communicate with engagement managers, project team members, and functional or technical representatives, escalating matters that need engagement-management attention.
  • Lead client engagement workstreams independently and collaboratively, focused on process improvement, optimization, and transformation, including implementing leading-practice workflows, addressing quality deficits, and driving operational outcomes.
  • Work independently while collaborating effectively as part of a team and sustaining professional relationships.

Benefits

  • Employees are offered a broad range of benefits; the posting refers to a project-aligned benefits package but does not specify its components.
  • May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
  • Opportunities for professional development, including building new skills, leadership opportunities, mentorship, on-the-job learning, and formal development programs.
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