Senior Level Analytics Consultant Jobs
Senior level analytics consultant jobs put experienced professionals in charge of analytical strategy, end-to-end project ownership, and the cross-functional teams that translate data into decisions. Openings concentrate in Technology & Software, Manufacturing, and Consulting & Professional Services, with a mix of remote, hybrid, and on-site roles available and employers like Tiger Analytics, ZS, and Epsilon 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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Top Industries Hiring
- Technology & Software
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Senior Level Analytics Consultant Jobs: Frequently Asked Questions
How do I get a senior level analytics consultant job?
Employers hiring at the senior level look for candidates who have owned analytical workstreams from scoping through delivery, not just contributed to them. Demonstrating that you have shaped methodology, influenced stakeholder decisions, and mentored junior analysts gives you a clear edge. A portfolio of complex, high-visibility engagements and fluency in both technical tools and business communication are what separate senior candidates from mid-level ones.
Which companies hire senior level analytics consultants?
Companies hiring senior level analytics consultants right now include Tiger Analytics, ZS, and Epsilon, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large consulting firms, technology companies, financial institutions, and healthcare organizations that need experienced professionals to lead data-driven initiatives rather than execute under close direction.
Are there remote senior level analytics consultant jobs?
Yes, and remote availability is meaningful at this level. About 33% of senior level analytics consultant openings are remote or hybrid as of November 2026, reflecting how many organizations structure senior consulting engagements around deliverables rather than physical presence. On-site roles also exist, often tied to client-facing work or industries with strict data governance requirements.
What makes an analytics consultant role senior level?
Senior level roles are defined by ownership and scope. You are expected to design analytical frameworks, not just apply them, and to drive the strategic framing of a problem before any model is built. Mentoring junior team members, managing client or stakeholder relationships independently, and delivering recommendations that influence business direction are standard expectations. Technical depth matters, but judgment and leadership are what distinguish senior from mid-level.
Which industries hire the most senior level analytics consultants?
Senior level analytics consultant roles concentrate in Technology & Software, Manufacturing, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they face complex, high-stakes analytical problems that require experienced professionals who can operate with autonomy, align data strategy to business goals, and lead engagements from discovery through implementation.