Website Scry AI

About Scry AI

Scry AI is a research-led enterprise AI company at the forefront of data intelligence and automation. We build intelligent platforms that help global enterprises in banking, insurance, logistics, and industrial sectors convert complex, fragmented data into actionable insights.

Position: Data Analyst
Location: India (Remote)
Employment Type: Full Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ Years in Data Analysis, Reporting, or Business Intelligence (Tech/SaaS preferred)

As a Data Analyst at Scry AI, you will be the bridge between raw data and meaningful business decisions. You’ll collect, analyze, and interpret data from diverse sources to identify key trends, performance metrics, and opportunities for optimization across products, marketing, and client success.

This role is ideal for someone who enjoys working independently, thrives on problem-solving, and loves transforming complexity into clarity.

Key Responsibilities

1. Data Collection and Management

  • Extract, clean, and structure data from multiple sources — databases, APIs, CRM systems, product usage logs, and internal dashboards.

  • Ensure data accuracy, completeness, and consistency across systems.

  • Maintain well-organized datasets that can be easily accessed and used for recurring analyses.

  • Implement best practices for data governance and integrity within the analytics function.

2. Analysis and Reporting

  • Build and maintain dashboards that track key performance indicators (KPIs) for product adoption, user engagement, campaign success, and client retention.

  • Conduct deep-dive analyses, including cohort, funnel, trend, and segmentation studies, to identify patterns and opportunities for growth.

  • Perform root cause analysis for operational anomalies, client performance variations, or product issues.

  • Develop predictive or descriptive models (where applicable) to support strategic planning.

3. Business Insights and Collaboration

  • Collaborate with product, marketing, and account management teams to frame analytical questions and define success metrics.

  • Present findings in visually intuitive formats, turning data into stories that inspire action.

  • Support leadership teams with ad-hoc analyses during quarterly reviews, go-to-market (GTM) planning, and roadmap decisions.

  • Translate analytical insights into recommendations for process improvements, feature prioritization, and performance optimization.

Required Qualifications & Skills

  • 2+ years of experience as a Data Analyst or Business Analyst in a SaaS or technology-driven company.

  • Strong SQL skills for data extraction and transformation.

  • Advanced proficiency in Excel for data manipulation and reporting.

  • Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker.

  • Experience with Python or R for advanced analytics or automation is a plus.

  • Deep understanding of analytics for product, marketing, and customer success teams.

  • Excellent communication skills and ability to present complex analysis in a clear, actionable manner.

  • Strong attention to detail, structured thinking, and storytelling ability.

Our Ideal Candidate

We’re looking for someone who:

  • Has a curious, data-driven mindset and a genuine passion for solving business problems through analysis.

  • Looks beyond surface-level trends to uncover the “why” behind the data.

  • Is comfortable navigating ambiguity and defining their own analytical framework for new challenges.

  • Can translate numbers into narratives that resonate with both technical and non-technical audiences.

  • Wants to scale a data-driven AI company by building robust internal analytics capabilities.

If you’re someone who thrives in a fast-paced environment, embraces innovation, and loves connecting data to strategic impact — this is your opportunity to make a measurable difference in an emerging AI powerhouse.

Why Join Scry AI?

  • Work remotely with a collaborative, research-driven AI team.

  • Contribute to products shaping the future of enterprise automation and data intelligence.

  • Get exposure to cutting-edge AI technologies across multiple industries.

  • Experience a data-first culture where insights directly influence product strategy, marketing direction, and customer success.

  • Continuous learning, mentorship, and growth opportunities within a dynamic organization.