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Insights Analyst – Finance Analytics

2 weeks ago

Hyderabad, Telangana, India ServiceNow Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.


Job Description


About the Team

The Finance Analytics & Insights (FA&I) team is at the forefront of transforming how Finance operates at ServiceNow. We are embedding AI/ML into the core of our financial strategy, enabling faster, smarter, and more impactful decision-making. As part of this transformation, we are building a global team of data product professionals, analysts, and engineers who are passionate about driving business value through data.

Role Overview

We are seeking a highly motivated and analytically strong Insights Analyst to join our India-based team. This role will support the development and scaling of AI/ML-powered data products that drive strategic insights across Finance. As an IC3-level individual contributor, you will work closely with the Data Product Manager and ML Engineer to uncover actionable insights, validate hypotheses, and ensure our AI/ML solutions deliver measurable business value.

Key Responsibilities

  • Analyze complex financial and operational datasets using statistical and data science methods in Python to uncover actionable insights.
  • Partner closely with the ML Engineer to support feature engineering, exploratory data analysis, and prototype development for AI/ML models.
  • Contribute to building proof-of-concepts (POCs) that demonstrate how models should be structured, what features matter, and why the approach is effective.
  • Be a vocal advocate for the customer—championing their needs throughout the product development lifecycle and ensuring insights are aligned with real-world decision-making.
  • Translate analytical findings into compelling narratives that influence Finance leaders and drive strategic decisions—clearly articulating:
    • What decision should be made
    • Why it matters
    • How we will measure its impact
  • Build and maintain dashboards and visualizations using Power BI or Tableau to communicate insights and track business outcomes.
  • Collaborate with the Data Product Manager, Product Finance, Digital Technology (DT), and Data & Analytics (D&A) teams to ensure alignment and execution.
  • Contribute to agile product development processes including sprint planning, backlog grooming, and user story creation.
Qualifications


Required Skills & Experience

  • 3–5 years of experience in business analytics, data science, or a related field
  • Strong proficiency in Python and SQL, with hands-on experience applying statistical and machine learning techniques to real-world business problems
  • Experience supporting model development, including feature engineering, hypothesis testing, and building POCs in collaboration with ML Engineers
  • Proven ability to connect data insights to business decisions—clearly articulating the "so what" and influencing action
  • Strong communication and storytelling skills, with the ability to influence both technical and non-technical stakeholders
  • Passion for advocating for the customer and ensuring their needs are reflected in product design and analytical outputs
  • Familiarity with data visualization tools (Power BI, Tableau) and data platforms (Snowflake, cloud-based environments)
  • Understanding of data warehousing concepts (e.g., Star/Snowflake schemas) and agile product development practices

Preferred Qualifications

  • Experience working in or supporting Finance or Accounting teams, with a strong understanding of financial metrics and business drivers
  • Prior exposure to AI/ML product development, including working with ML engineers on model design, feature selection, and validation
  • Demonstrated ability to build POCs or prototypes that illustrate model logic and business value
  • Familiarity with agile product development practices and tools (e.g., Jira, Confluence)
  • Experience working in a global, cross-functional environment with stakeholders across time zones
  • Comfort with async collaboration tools and practices, including Teams, recorded video demos, and documentation-first communication
  • Knowledge of GenAI, prompt engineering, or advanced analytics techniques is a plus
  • Strong understanding of data governance, data quality, and ethical considerations in AI/ML

Key Behaviors & Mindsets

  • Insight-to-Action Translator: You don't stop at the "what"—you push for the "so what" and "now what." You help leaders make the right decisions and measure their impact
  • Customer Advocate: You champion the voice of the customer throughout the product lifecycle, ensuring that insights and models solve real problems
  • Collaborative Partner: You work hand-in-hand with ML engineers, product managers, and business stakeholders to co-create solutions and shape model development
  • Curious and Opinionated: You bring a strong point of view, backed by data, and aren't afraid to challenge assumptions or advocate for better outcomes
  • Bias for Action: You move quickly, iterate often, and focus on delivering value—not just analysis
  • Storyteller: You know how to craft compelling narratives that resonate with both technical and non-technical audiences
  • Global Mindset: You thrive in a distributed team, proactively aligning to US morning hours (PST overlap) to keep momentum across geographies
  • Async-First Communicator: You're comfortable working in a hybrid async environment—leveraging Teams, recorded demos, and documentation to keep work moving forward

JV20


Additional Information


Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

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 law. In 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

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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