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Analytics Engineer

Analytics Engineer

Position Summary

The Analytics Engineer will support and maintain current BI and reporting systems (SSRS, Power BI, SSIS/SSAS, Azure Data Factory) while advancing the organization’s analytics capabilities. This role is pivotal in enabling self-service analytics, integrating AI and machine learning insights, and ensuring a scalable data environment that empowers business stakeholders with timely, accurate, and future-ready analytics. This position is based in Hyderabad, India.

Principal Responsibilities

  • Provide BI/reporting support across SSRS, SSIS, and Power BI, ensuring reliability and accuracy.
  • Monitor, troubleshoot, and optimize ETL jobs and data refresh processes.
  • Enhance performance and usability of dashboards and reports.
  • Standardize reusable data assets to enable self-service analytics.
  • Collaborate with data science teams to embed AI/ML-driven insights into analytics delivery.
  • Balance support of current infrastructure with continuous innovation in advanced analytics.
  • Provide day-to-day production support of analytics platforms, ensuring up time, data accuracy, and SLA adherence.
  • Diagnose and resolve incidents, including failures, data refresh issues and user access related issues.
  • Adapt to shifting client priorities and time zones, ensuring flexibility in delivery.
  • Take on responsibilities beyond the role when required, demonstrating startup agility and a problem-solving mindset.

Qualifications

  • Expertise in BI tools: SSRS, Power BI, SSIS, SSAS.
  • Proficiency in SQL Server query optimization and tuning.
  • Experience with Azure Data Factory, Synapse Analytics, and data warehouse schema design.
  • Strong problem-solving skills and stakeholder communication.
  • Exposure to AI/ML model integration in analytics workflows is highly desirable.

Minimum Requirements

  • Bachelor’s degree in computer science, Information Systems, or related discipline.
  • 5–7 years of BI and reporting support experience.
  • Strong technical foundation in BI platforms and Azure ecosystem.

About SpinTheory

At SpinTheory.ai, we are not just building data platforms; we are engineering the future of how organizations harness data and AI. We aim to transform enterprise complexity into clarity, speed, and measurable business value. As a high-growth startup with global ambitions, we thrive on bold thinking, rapid execution, and relentless curiosity.

We believe in empowering our people as much as our clients. At SpinTheory, you won’t just “do a job”; you will architect the next generation of data and AI ecosystems, working side by side with innovators who challenge the status quo. Flexibility, ownership, and adaptability aren’t perks here; they are part of the DNA that fuels our growth.

By joining us, you enter a culture where integrity drives action, customer success defines impact, collaboration sparks innovation, and continuous learning is the only constant. Together, we’re creating a future where data and AI don’t just inform decisions, they accelerate possibilities.

Core Values

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