Senior Level Lead Analytics Consultant Jobs
Senior level lead analytics consultant jobs place experienced professionals in charge of analytics strategy, stakeholder alignment, and the cross-functional teams that deliver insights at scale. Roles are distributed across on-site, remote, and hybrid settings in Technology & Software and Consulting & Professional Services, with employers like Tiger Analytics, ZS, and KPG99 hiring at this level now.
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Location: Sunnyvale, CA (Onsite- 5 Days/week)
Duration: 12 Months + Extensions
We're looking for a true blend of Supply Planning + Consumer Electronics + Databricks + Deep AI Analytics, not a candidate who only checks one or two of those boxes.
Overview
Seeking a Supply Planning Analytics Consultant with consumer electronics experience to support supply planning, forecasting, inventory optimization, and analytics initiatives. The ideal candidate will combine strong supply chain business knowledge with AI-powered analytics expertise and experience working within Databricks-driven data environments.
Responsibilities
- Support supply planning, forecasting, inventory, and operational planning initiatives.
- Utilize AI-powered analytics tools and LLM-based solutions to generate business insights and improve decision-making.
- Analyze large datasets to identify trends, risks, and opportunities.
- Partner with Data Engineering teams to support and enhance data pipelines and analytics workflows in Databricks (DBX).
- Develop reporting, dashboards, KPIs, and planning metrics.
- Collaborate with business stakeholders to drive data-informed planning decisions.
Required Qualifications
- 7+ years of Supply Planning, Demand Planning, or Supply Chain Analytics experience.
- Consumer Electronics industry experience required.
- Strong functional knowledge of supply planning processes.
- Experience leveraging AI, Generative AI, or enterprise AI platforms for business analytics.
- Hands-on experience with Databricks (DBX).
- Experience working with Data Engineering teams on data pipelines and analytics solutions.
- Advanced SQL and strong analytical skills.
Preferred Qualifications
- Python, Spark, and cloud analytics experience.
- Experience with Enterprise AI Platforms (Copilot, ChatGPT Enterprise, Gemini, Claude, Dataiku, Palantir, C3 AI, etc.)
- Forecasting, inventory optimization, and supply chain modeling expertise.
- Experience supporting large-scale technology or hardware organizations.
Key Skills
- Supply Planning
- Consumer Electronics
- AI / Generative AI Analytics
- Databricks (DBX)
- SQL
- Data Pipelines
- Forecasting & Inventory Analytics
- Cross-Functional Collaboration
Location: Sunnyvale, CA (Onsite- 5 Days/week)
Duration: 12 Months + Extensions
We're looking for a true blend of Supply Planning + Consumer Electronics + Databricks + Deep AI Analytics, not a candidate who only checks one or two of those boxes.
Overview
Seeking a Supply Planning Analytics Consultant with consumer electronics experience to support supply planning, forecasting, inventory optimization, and analytics initiatives. The ideal candidate will combine strong supply chain business knowledge with AI-powered analytics expertise and experience working within Databricks-driven data environments.
Responsibilities
- Support supply planning, forecasting, inventory, and operational planning initiatives.
- Utilize AI-powered analytics tools and LLM-based solutions to generate business insights and improve decision-making.
- Analyze large datasets to identify trends, risks, and opportunities.
- Partner with Data Engineering teams to support and enhance data pipelines and analytics workflows in Databricks (DBX).
- Develop reporting, dashboards, KPIs, and planning metrics.
- Collaborate with business stakeholders to drive data-informed planning decisions.
Required Qualifications
- 7+ years of Supply Planning, Demand Planning, or Supply Chain Analytics experience.
- Consumer Electronics industry experience required.
- Strong functional knowledge of supply planning processes.
- Experience leveraging AI, Generative AI, or enterprise AI platforms for business analytics.
- Hands-on experience with Databricks (DBX).
- Experience working with Data Engineering teams on data pipelines and analytics solutions.
- Advanced SQL and strong analytical skills.
Preferred Qualifications
- Python, Spark, and cloud analytics experience.
- Experience with Enterprise AI Platforms (Copilot, ChatGPT Enterprise, Gemini, Claude, Dataiku, Palantir, C3 AI, etc.)
- Forecasting, inventory optimization, and supply chain modeling expertise.
- Experience supporting large-scale technology or hardware organizations.
Key Skills
- Supply Planning
- Consumer Electronics
- AI / Generative AI Analytics
- Databricks (DBX)
- SQL
- Data Pipelines
- Forecasting & Inventory Analytics
- Cross-Functional Collaboration
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Senior Level Lead Analytics Consultant Jobs: Frequently Asked Questions
How do I get a senior level lead analytics consultant job?
Employers at this level look for candidates who can own end-to-end analytics initiatives, not just execute assigned tasks. Demonstrating that you've defined measurement frameworks, influenced business decisions with data, and mentored junior analysts gives you a clear edge. A portfolio showing strategic impact, such as a revenue-driving model or an enterprise-wide reporting overhaul, matters more than credentials alone.
Which companies hire senior level lead analytics consultants?
Companies hiring senior level lead analytics consultants right now include Tiger Analytics, ZS, and KPG99, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large enterprises and consulting firms that run complex, data-intensive operations and need experienced professionals to lead analytics functions rather than just contribute to them.
Are there remote senior level lead analytics consultant jobs?
Yes, though availability varies by employer and industry. About 50% of senior level lead analytics consultant openings are remote or hybrid as of November 2026, reflecting strong demand for experienced analytics leaders who can operate effectively across distributed teams. On-site roles remain common in sectors where stakeholder collaboration and data governance require regular in-person presence.
What makes a lead analytics consultant role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this stage, you're setting the analytics agenda, designing the systems and frameworks others follow, and accountable for outcomes that reach the executive level. You're also expected to mentor analysts, evaluate technical approaches, and represent the analytics function in cross-departmental planning, which distinguishes the role from mid-level positions focused on project delivery.
Which industries hire the most senior level lead analytics consultants?
Senior Level lead analytics consultant roles concentrate in Technology & Software and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate with large, complex datasets and need experienced professionals who can translate analytics into strategic decisions rather than simply produce reports.