Senior Data Analyst

Team

Join the FinOps Governance team within the Global Cloud Services organization.
Youll apply your analytics and visualization expertise to build data-driven insights that shape how we plan optimize and invest in cloud resources. Working alongside engineers data scientists and product leaders youll help design scalable reporting frameworks that bring visibility into the financial and operational performance of our cloud platform.

About the role

Were looking for a Senior Data Informatics Analyst with a strong foundation in Public Cloud Cost & Usage analysis & data visualization and storytelling.
In this role youll design and build dashboards that bring visibility into cloud spend efficiency and optimization progresshelping engineering and finance teams make data-driven decisions.

Youll explore large complex datasets to uncover trends translate raw data into intuitive insights and ensure that stakeholders have timely accurate and self-service access to key cloud financial metrics. Partnering closely with Data Engineering and FinOps practitioners youll help define data standards streamline pipelines and shape how our organization measures the impact of its cloud investments.

What you get to do in this role: 

• Analyze large-scale cloud cost usage and operational datasets using SQL and BI tools like Lightdash Looker to uncover efficiency patterns spending trends and optimization opportunitiestranslating findings into clear actionable insights.
• Design develop and maintain interactive dashboards and data models that visualize key cloud cost & usage metrics (e.g. Compute & GPU Instance usage AI Model usage Storage usage right-sizing opportunities commitment utilization budget health).
• Collaborate with Data Engineering and FinOps practitioners to define data requirements ensure pipeline reliability and maintain a single trusted source of truth for cloud financial data. Agile program management expertise using Jira and Confluence is a must.
• Build automated data workflows to streamline recurring reporting increase accuracy and enable self-service analytics for engineering and finance teams.
• Conduct ad-hoc deep-dive analyses using SQL Python or other analytical tools to investigate cost anomalies usage spikes and resource efficiency issues.
• Define and standardize KPIs and reporting frameworks that measure optimization progress budget adherence and financial accountability across teams.
• Partner with engineering and product stakeholders to translate analytical findings into data-driven recommendations that influence technical and business decisions.
• Present insights through compelling dashboards visual stories and presentations that connect cloud spend dynamics with strategic and operational outcomes.

Qualifications :

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
• 5 years of experience in analytics business intelligence or data science ideally supporting cloud infrastructure or operations teams with a Bachelors degree; or 3 years and a Masters degree; or a PhD with without experience; or equivalent work experience.
• Experience in Public Cloud Cost & Usage dataset of AWS Azure and GCP to be able to data model and analyze cost & usage patterns
• Hands-on experience designing and maintaining BI dashboards (Lightdash Looker Tableau Power BI or equivalent) with an emphasis on usability scalability and self-service.
• Expert-level SQL proficiency with the ability to design efficient queries and optimize data models in large-scale environments (Snowflake BigQuery or Redshift).
• Proven ability to translate complex datasets into clear actionable insights that drive business and technical decisions.
• Solid understanding of data modeling pipeline design and data governance principles.
• Exceptional attention to detail and a strong sense of ownership for data quality and reliability.
• Excellent communication and collaboration skills with the ability to partner effectively with data engineers finance and engineering stakeholders.

Nice to have:

• Familiarity with FinOps or cloud cost management concepts (AWS GCP or Azure).
• Experience working with time-series and billing datasets.
• FinOps Certified Practitioner or public cloud certification.

GCS-23

For positions in this location we offer a base pay of $125300 - $213100 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

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Remote Work :

No

Employment Type :

Full-time