Remote Data analyst Jobs in Manchester, NH

Statistical Analyst - Support Data Analystics

We are seeking an

analytical

and business-minded

Statistical Analyst

to join our Global Support Organization. This role focuses on

transforming

complex support

data

into actionable insights that improve customer experience, operational efficiency, and strategic decision-making.

The ideal candidate combines strong statistical rigor with hands-on experience in operational data and a passion for clear, compelling data visualization.

About the Team

The Support Analytics and Operations team consists of 6+ analysts covering various Nutanix products and core components.

The team reports to theManager of Support Analytics and Operations.

Your Role

Technical Support & Operations Analytics

Analyze technical support data to identify trends in case volume, backlog, resolution time, escalations, and customer experience.

Segment and diagnose performance by factors such as issue type, priority, product, region, support tier, and ownership.

Define, maintain, and evolve operational KPIs and performance metrics.

Identify risks and opportunities related to workload, service levels, and customer outcomes.

Statistical Analysis & Modeling

Apply statistical techniques including trend analysis, regression, hypothesis testing, segmentation, and forecasting.

Perform root-cause analysis to identify key drivers of performance variability.

Develop analytical models for backlog forecasting, service-level risk identification, and capacity planning.

Evaluate the impact of process and policy changes using pre / post and controlled analyses.

Data Visualization & Analytical Storytelling

Design and maintain interactive dashboards and reports using enterprise visualization tools.

Create visualizations that emphasize trends, drivers, and leading indicators rather than static metrics.

Translate complex analyses into clear, executive-ready narratives.

Tailor insights and visualizations for different audiences, from operational leaders to executives.

Data Querying & Analytics Enablement

Extract, transform, and analyze support data using SQL and analytics platforms.

Partner with data engineering teams to support data models, transformations, and integrations.

Understand data refresh cycles, latency, and lineage to ensure reliable and trusted reporting.

Business Partnership & Influence

Partner with Support leadership to understand business questions and priorities.

Proactively identify opportunities to improve operational performance through data.

Present insights and recommendations to stakeholders across levels and functions.

Act as a trusted analytical advisor to leadership.

Establish and document metric definitions and reporting standards.

Ensure consistency and accuracy across dashboards and reports.

Improve analytical frameworks as business needs and Support operations evolve.

Promote best practices in analytics, data visualization, and governance.

What You Will Bring

3+ years of experience in a

statistical or data analytic s role, ideally supporting a Support or Operations organization.

Strong foundation in statistical analysis, including hypothesis testing, regression, forecasting and trend analysis.

Hands-on experience with data visualization tools (e.g.,

Tableau ,

Power BI ,

Looker , or similar).

Proficiency in SQL for data extraction and analysis.

Experience with Python or R for advanced statistical modeling.

Ability to work with large, complex datasets and draw meaningful conclusions.

Strong communication skills with the ability to explain analytical findings to non-technical audiences.

Ability to work effectively across global teams, with strong initiative to independently identify data owners, track down information, and build cross-functional relationships.

Bachelor’s degree in Statistics, Mathematics, Data Science, Analytics, or a related field.

Preferred Qualifications

Experience analyzing support or customer service data (e.g., case management systems, CRM platforms.

Familiarity with support KPIs such as productivity, SLA attainment, backlog aging, TTR, NPS and CSAT.

Exposure to data modeling, data warehousing concepts, or ETL processes.

Experience influencing stakeholders and driving change through insights.

Work Arrangement

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.

Nutanix is an equal opportunity employer.

Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting CandidateAccommodationRequests@nutanix.com .

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