Software Engineer (Data Analyst - Performance Engineering)

Anaplan
Gurugram, IndiaPosted 13 March 2026

Job Description

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! The Role The Core Performance Engineering team is looking for a Data Analyst (P3) to help build, maintain, and analyze the performance data that underpins how we understand and improve the Anaplan platform. Performance is at the heart of everything we do at Anaplan. In this role, you will work closely with performance engineers and platform teams to collect, structure, and analyze large datasets from performance tests and production telemetry. Your work will help answer key questions such as: How does system performance change over time? Where are emerging bottlenecks in the platform? How do performance changes impact customers? You will be responsible for transforming complex performance data into clear insights, building reporting and dashboards, and helping engineering teams make better data-driven decisions about system performance and reliability. The Core Performance engineering team is looking for a mid-level data analyst to build, review, and maintain performance reporting as well as analysing how customers are impacted by performance-related factors. Performance and data is at the heart of everything we do at Anaplan, so we need someone who loves working with big data sets as well as has a passion for how customers use the platform and the impact of performance. Who are you? We are hiring one Senior (P3) Data Analyst to join the Performance Engineering team. A strong data analyst: You enjoy working with large datasets and uncovering meaningful insights. You are comfortable exploring complex telemetry and performance data to identify patterns, anomalies, and trends. Analytical and curious: You are interested in how systems behave and enjoy digging into technical data to understand the story behind it. Great communicator: You translate complex technical data into clear, well-written reports and dashboards that help engineers and leadership understand what is happening in the platform. Collaborative: You work closely with engineers and platform teams to ensure the right data is captured, structured, and available for analysis. Quality-driven: You care deeply about the accuracy and reliability of the data you work with, and you build analyses and reports that teams can trust. Your qualifications Core Experience Significant experience in data analysis, preferably within engineering or platform teams Experience working with large datasets and telemetry from complex systems Strong experience with data exploration and analysis using tools such as SQL, Python, or similar. Ability to identify trends, regressions, and anomalies in performance data Experience communicating key insights clearly to engineering teams and leadership Systems and Performance Data Experience analyzing performance data from software systems, infrastructure, or observability platforms Familiarity with metrics such as latency, throughput, resource utilization, and error rates Abili ... (truncated, view full listing at source)
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