Data Analyst

Infrastructure Capacity Engineer (Data Analytics)

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.

Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!

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.

You will :

• 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 clear, 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 wedon'texpect you to know everything on day one.You'llhave time to learn our tools and grow into the role.We'relooking 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)