Senior Data Analytics Engineer - Sustainability Domain

Position title:

Senior Data Analytics Engineer
Reporting to:
Engagement Manager/Associate Director
Interactions:
Internal & External Stakeholders
Work Type &

Schedule:

Full time, Permanent role;
Monday-Friday

Work Location:

Okhla, New Delhi

cKinetics , a specialized Sustainability Consulting firm that provides end-to-end solutions for investors and businesses, is looking for a Senior Data Analytics Engineer who brings strong analytical rigor and excels at building robust and scalable data solutions. With headquarters in New Delhi, India and a US office in Silicon Valley, California; cKinetics works with clients and partners globally. For more details visit

Purpose of the position
The Senior Data Analytics Engineer will function as a core technical lead within cKinetics’ consulting teams, driving the design, development, and deployment of advanced analytics and data engineering solutions for sustainability and impact-focused engagements. The role is deeply hands-on, with responsibility for architecting and managing end-to-end data pipelines, ETL workflows, analytical models, and decision-support dashboards that integrate complex, multi-source structured and unstructured datasets.
The position includes building and technically leading a small team of 1–2 data analysts, with accountability for data quality, scalability, automation, and governance across project and internal systems. This role requires direct engagement with stakeholders to translate analytical requirements into robust technical solutions and to deliver high-quality and scalable consulting outputs.

Key Responsibilities

1. Analytics & Data Engineering for Consulting Engagements
a. Lead end-to-end data processing and analytics across sustainability projects and programmatic consulting engagements
b. Design and manage ETL workflows and data warehousing across multiple project and corporate data sources
c. Own and manage SQL-driven analytics on cKinetics’ proprietary analytics platform (comMIT – Zoho Analytics)
d. Work with large, complex, and cross-cutting structured, semi-structured, and unstructured datasets, ensuring data quality, governance, and auditability
e. Apply advanced quantitative techniques using Excel, R, STATA, Python, or equivalent tools to derive insights, trends, and performance drivers

2. Performance Measurement & Reporting Frameworks
a. Develop analytical frameworks, metrics, and KPIs aligned with sustainability objectives, program logic, and reporting requirements
b. Design monitoring frameworks for daily, monthly, quarterly, and annual performance tracking across projects and corporate functions
c. Support development of standardized reporting templates and analytics models for repeatable consulting use cases

3. Dashboarding, Visualization & Decision Support
a. Design and deliver high-quality dashboards using Power BI and Zoho Analytics for clients, program teams, and leadership
b. Integrate dashboards with automated data pipelines, APIs, and workflows
c. Translate analytical outputs into clear, decision-ready insights through dashboards, presentations, and written consulting outputs
d. Support scenario analysis, performance deep-dives, and ad-hoc analytical requests across engagements

4. Stakeholder Engagement & Advisory Support
a. Serve as the primary analytics and data systems interface for consulting engagements, working closely with project managers, clients, and partners
b. Support client discussions by explaining analytical approaches, assumptions, and insights in a clear, non-technical manner
c. Identify opportunities where data, automation, or analytics can strengthen program design, implementation, and decision-making
d. Coordinate with IT teams, web developers, and external vendors for system integrations and analytics enhancements

5. Team Leadership & Quality Assurance
a. Provide technical leadership, mentoring, and quality review for analyst-level team members
b. Establish and enforce best practices for SQL development, data cleaning, dashboard design, documentation, and version control
c. Ensure consistency, accuracy, and timeliness of analytical outputs across engagements and internal systems

6. Internal Systems & Firm-Level…