Lead Analytics Engineer, Portfolio Reporting

Location: Pune, India

Model of Work: Hybrid

About Quorum Software

Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners.

Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace.

For more information, visit quorumsoftware.com

Be a part of our legacy

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Who We Are Looking For

Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic workplace? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Job Purpose

Global [Product] Operations is looking for a Lead Analytics Engineer, Portfolio Reporting to own how we measure and communicate engineering delivery, release health, and portfolio performance. This is a business-facing role: you will own the metrics and reporting priorities for the portfolio, partnering with product, engineering, and program leaders to understand the decisions they need to make, prioritize reporting needs, establish trusted metrics, and explain what the results mean and where action is needed.

This role combines reporting program ownership, stakeholder partnership, and hands-on technical leadership. You will turn a backlog of requests into a focused reporting program and deliver it through our existing Databricks data platform and analytics application, building reliable data pipelines, Python services, and React reporting experiences. You will also improve AI-assisted access to analytics through MCP and natural-language querying.

This is a hands-on individual contributor role. You will own delivery from business requirements through implementation, adoption, and ongoing reliability, while setting technical direction and guiding contributors. Success depends on both sound engineering and the ability to help leaders understand performance and make better decisions.

What You Will Do

Reporting priorities and stakeholder partnership:

- Partner with product, engineering, and executive stakeholders to understand their business questions, the decisions reporting should support, and the value they expect.
- Own the intake process and a visible reporting backlog. Align on priorities based on business value, decision impact, data readiness, and effort; communicate delivery expectations and resolve competing requests.
- Deliver reporting across engineering performance, release health, dependencies, backlog health, and cross-product roadmaps.

Portfolio Insight And Metric Ownership





- Own portfolio metric definitions, working with product and engineering leaders to establish consistent, meaningful measures. Reconcile differences across source systems and team workflows, and explain where work mix, data coverage, or other limitations affect comparisons.
- Investigate trends and variances, reconcile conflicting numbers, and help leaders understand what changed, why, and whether they need to act.
- Present findings in recurring portfolio and leadership reviews, helping stakeholders interpret performance, understand risks, and identify follow-up actions.

Reporting And Analytics Delivery

- Design, build, and maintain data pipelines, reporting models, Python APIs, and React reporting experiences on existing Databricks platform and analytics application.
- Integrate ADO, Jira, GitHub, AI-tool usage, and other operational data into reliable reporting, connecting records across systems and preserving historical accuracy as teams and organizational structures change.
- Develop and improve MCP integrations and natural-language querying so people can explore portfolio data through AI tools, with accurate answers and appropriate access controls.

Trust, Governance, And Adoption

- Establish reporting standards so users understand where the data comes from, how current it is, its limitations, and who owns it.
- Build automated data-quality checks, investigate discrepancies, and work with source-system owners to correct errors.
- Work with stakeholders to make reporting part of regular business reviews, gather feedback, and reduce manual reporting effort. Improve useful reports and retire those no longer needed.

Technical Leadership And Reliability

- Lead technical decisions for the platform and analytics application, document key design choices, review code, and guide other contributors.
- Maintain coding standards, automated tests, and deployment workflows. Balance delivery speed, reliability, and cost, and explain technical trade-offs to stakeholders.
- Keep the application and data pipelines running reliably, manage releases, and resolve failures and performance issues.
- And other duties as assigned.

What To Bring

- 5+ years in analytics engineering, data engineering, software development, or technically hands-on portfolio analytics, with experience delivering reporting used by business leaders and owning the systems behind it.
- Strong Databricks data engineering experience, including medallion architecture, PySpark, Delta Lake, Lakeflow or equivalent managed pipelines, incremental ingestion, schema evolution, backfills, and failure recovery.
- Strong SQL and data modeling skills, including tested transformations, documented metric definitions, and reliable reporting that connects records across systems and preserves historical accuracy.
- Strong production Python skills, including maintainable packages, API integrations, FastAPI or a comparable framework, authentication, retries, rate limiting, and validation.
- Practical experience delivering React and TypeScript applications connected to backend APIs, including interactive data views, loading and error states, and frontend tests.
- Experience deploying and operating data pipelines and applications using automated deployment workflows, CI/CD,



and containers. Ability to diagnose failed releases, stale data, and performance issues.
- Understanding of permissions, authentication, service identities, secrets, and secure data access across applications and APIs.
- Practical use of Claude or similar AI coding tools to develop and maintain production software, with disciplined review, testing, and verification.
- Experience using Git, code review, automated tests, and data-quality checks, and guiding other contributors through technical decisions and implementation.
- Demonstrated reporting program ownership: gathering ambiguous requirements, negotiating competing priorities, managing expectations, establishing shared standards, and driving adoption across teams.
- Strong analytical judgment and communication: reconciling conflicting numbers, explaining variances to technical and senior leadership audiences, and connecting findings to business decisions and follow-up actions.

Nice To Have

- Experience with dbt for building and testing reporting models, documenting metrics, and maintaining data lineage.
- Experience with Databricks Asset Bundles and Unity Catalog for deploying pipelines and jobs and managing governed access to data.
- Experience with GitHub Actions for automating tests, builds, and deployments.
- Experience building MCP integrations or natural-language analytics, including connecting AI tools to data and validating generated SQL and answers.
- Experience with engineering delivery metrics and data from Azure DevOps, Jira, or similar systems, including differences in workflows and reporting across teams.

Additional Details

- Visa Sponsorship: Employment eligibility to work with Quorum Software in India is required as the company will not pursue visa sponsorship for this position.

Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Recruitment Scam Alert: Quorum Software does not charge fees, request payments, conduct interviews via messaging apps, or request the installation of software at any stage of the recruitment process. All legitimate recruitment activities are conducted exclusively through our official careers website (www.quorumsoftware.com/careers) and email addresses ending in @quorumsoftware.com. Any communication that does not originate from these official channels should be considered unauthorized and may be reported to [email protected]

📌 Lead Analytics Engineer, Portfolio Reporting (Hybrid Work Schedule) (Pune)
🏢 Quorum Software
📍 Pune