Technology and Innovation - Finance Analytics Engineer in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technology and Innovation - Finance Analytics Engineer in India.

This role sits at the intersection of finance, data engineering, and business intelligence, focused on transforming complex financial datasets into scalable, insight-driven analytics solutions. You will design and build robust data pipelines and reporting frameworks that support financial planning, performance tracking, and strategic decision-making. The position requires strong technical expertise combined with financial acumen to ensure data accuracy and business relevance. You will collaborate closely with finance, accounting, and business stakeholders to translate reporting needs into automated, high-quality data products. The environment is dynamic and collaborative, requiring curiosity, adaptability, and a strong problem-solving mindset. This is a high-impact role where your work directly enables better financial visibility and data-driven decision-making across the organization.

• Extract, transform, and integrate financial and operational data from multiple sources to support analytics and reporting needs.
• Design, build, and maintain scalable and automated data pipelines for financial reporting and business intelligence.
• Develop end-to-end analytics solutions, including KPI definition, data modeling, and dashboard creation.
• Write and optimize complex SQL queries to support finance and business analysis use cases.
• Use tools such as Alteryx and Python to streamline data transformation and automation workflows.
• Work with enterprise data platforms such as Microsoft Fabric, Azure, and Snowflake for analytics delivery.
• Collaborate with finance and business stakeholders to translate requirements into data-driven solutions.
• Ensure accuracy, consistency, and financial integrity across all analytical outputs.
• Communicate insights clearly through dashboards, reports, and stakeholder presentations.

• 5+ years of experience in analytics, business intelligence, or data-focused roles.
• Strong proficiency in SQL and hands-on experience with Python, Alteryx, or similar data tools.
• Solid understanding of data engineering concepts combined with BI and analytics exposure.
• Familiarity with financial data structures such as P&L, trial balance, and revenue datasets.
• Experience working with finance, accounting, or business teams in an analytics capacity.
• Strong ability to translate complex data into clear, actionable insights for non-technical audiences.
• Experience with enterprise data platforms such as Snowflake, Azure, or Microsoft Fabric.
• Strong communication skills with the ability to present findings and influence stakeholders.
• Analytical mindset with strong problem-solving ability and attention to detail.
• Ability to thrive in dynamic, fast-changing environments with multiple priorities.

• Competitive compensation aligned with senior analytics engineering roles.
• Flexible remote work arrangement within a global delivery model.
• Exposure to enterprise-scale financial analytics and modern data platforms.
• Strong opportunities for professional growth in FP&A, BI, and data engineering domains.
• Collaborative and knowledge-sharing culture with cross-functional engagement.
• Work-life balance supported by flexible working practices and autonomy.