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At Nutanix, the Data Analytics team is a dynamic group of over 50 collaborative and innovative professionals spread across the US and India. This diverse team consists of data scientists, analysts, and engineers who work together to drive insights and enhance decision-making through data-driven strategies. The culture within the team fosters open communication, encourages fresh ideas, and values each member's contribution, making it an exciting environment for those passionate about analytics and technology.

You will report to the Sr. Director of Data Analytics, who prioritizes mentorship and professional development while leading a supportive team environment. This position is a hybrid role, requiring you to work in the office for three days a week at our headquarters in San Jose, CA, providing the opportunity to collaborate in person with your colleagues while also allowing for flexibility. Travel requirements for this role are minimal, ensuring you can focus on your work without frequent disruptions.

• Information Technology
• San Jose, United States
• 32163

Are you a visionary leader with a passion for transforming data into actionable insights, and a track record of building and inspiring high-performing analytics teams? If so, joining our team as a Senior Manager, Analytics Engineering at Nutanix will allow you to make a meaningful impact by influencing data-driven decision-making across the organization and driving the development of innovative analytics solutions in a collaborative and dynamic environment.

• 10+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Analytics, or Enterprise Analytics.
• 5+ years leading analytics engineering teams, enterprise analytics initiatives, or cross-functional analytics delivery.
• Demonstrated experience building, coaching, and inspiring high-performing technical teams.
• Expert-level SQL with strong hands-on experience in dimensional modeling, semantic layers, certified datasets, analytical transformations, and data products.
• Proven ability to understand complex business processes and translate them into trusted KPIs, semantic models, and governed analytical products.
• Strong business acumen and experience defining enterprise KPIs with business stakeholders.
• Experience with platforms such as Snowflake, Databricks, BigQuery, Redshift, or Postgres.
• Experience with dbt, Spark, Python, Airflow, or similar analytics engineering technologies.
• Strong understanding of data quality, reconciliation, metadata, lineage, governance, and certification.
• Hands-on experience implementing AI or GenAI-enabled analytics solutions.
• Excellent communication and influencing skills, with the ability to build trust and align business and technology teams.

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between USD $ 184,000 and USD $ 368,000 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

• Information Technology
• San Jose, United States

• Information Technology
• San Jose, United States

• Engineering
• San Jose, United States

After all those discussions its time for both you and our hiring teams to make some decisions. Your Talent Advisor will be your main point of contact during this period. Be sure to keep them informed of any outstanding questions or timing milestones that are important to you.

We value standout performers, ambitious team players, and long-term thinkers who know how to connect the dots to get results. If you're a little customer obsessed, you've found your tribe. Are you a game changer? Let us see that in your application.

Our talent advisors review every application we receive and we'll follow up with next steps and guidance at every phase. Overall you can expect 1-2 rounds of talks with our hiring leaders after your initial chat with your Talent Advisor.