Your impact

The Infrastructure Capacity Data Analyst builds data models, dashboards, and predictive forecasting models to transform raw infrastructure metrics into actionable business intelligence. Leveraging strong data visualization expertise (specifically Power BI), you will build the automated reporting, forecasting models, and dashboards that allow engineering and leadership teams to make data-driven infrastructure decisions for both cloud and on-premises infrastructure.

You will also ensure we have enough resources to meet current and future Platform demand efficiently, involving forecasting needs, capacity planning, monitoring performance (KPIs), managing risks (shortages/overloads), and developing strategies for optimization.

Job Title

Infrastructure Capacity Engineer (Data Analytics)

Responsibilities

- Design, build, and maintain robust Power BI dashboards to track infrastructure utilization, capacity limits, and system performance KPIs.
- Data Insights: Query and blend data from disparate technical sources (cloud billing, system monitoring tools, APIs) to create a single source of truth for capacity data.
- Predictive Forecasting: Analyze historical usage trends and apply statistical methods to forecast future resource demands and flag potential capacity shortages or overloads before they impact users.
- Translate complex infrastructure metrics into explicit,



executive-friendly reports and visualizations to help justify cloud spend and optimization strategies.

Your skills and experience

We work with a broad range of technologies, and we don t expect you to know everything on day one. You ll have time to learn our tools and grow into the role. Were looking for diverse experiences to help strengthen our team.

Essential

- 5+ years of data analytics/DAX experience as a Data Analyst, Power BI Developer, or Business Intelligence Analyst, ideally in a SaaS environment
- Proficient in SQL for data extraction and Power Query (M Code) for data transformation and cleansing.
- Exception
- A degree in computing or science is helpful but not essential
- Understanding of current Capacity Management & Planning scenarios and tooling.
- Experience with Agile principles and practices.

Desirable

- Experience supporting SaaS products.
- Experience and awareness of both cloud and on prem infrastructure practices
- Knowledge of observability and monitoring best practices.
- Experience operating within one or more public clouds (AWS, GCP, Azure)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Analyst (Haryana)
🏢 Anaplan
📍 Haryana