
Splunk Data Analyst
- Pune, Maharashtra
- Permanent
- Full-time
All those systems generate data. Do you see a challenge in building data-driven services for our customers using that data? Do you want to contribute to the fast-growing Vanderlande Amazon Department on its journey to become more data driven? If so, then join the team!Your PositionWe are looking for a Splunk data analyst to join our team. The ideal candidate will be responsible for designing, developing, and implementing Splunk dashboards, tools, metrics, and apps. As a Splunk data analyst, you will work closely with the service team, automation engineers and analytics department to create scalable and efficient analytics & Business intelligence solutions.Your responsibilities:
- You participate in end-to-end development through prototyping, validation, implementation, launch, and further iterations in Splunk environment. You participate in architecture and roadmap discussions.
- You develop new features for our products and services which provide our customers with actionable information through multiple channels.
- You ensure that applications are running in a cloud-based environment.
- Collaborate with cross-functional teams to integrate data analytics solutions into our products and systems.
- Optimize and fine-tune BI models for maximum accuracy and efficiency.
- Stay up to date with the latest advancements in AI & data science.
- You are a team player and do not shy away from opportunities to help the team and product to grow.
- You are proactive and a strong communicator.
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field (or equivalent experience)
- At least 4+ years of experience as an Analytics Engineer, Splunk Engineer or similar role
- Proficiency in writing Splunk code for data retrieval and manipulation
- Familiarity with Microsoft Power Platforms, CoPilot, and Microsoft Azure Open AI is a plus.
- Ability to work effectively within a cross-functional international team and collaborate with technical and non-technical stakeholders.
- Demonstrated interest in staying up to date with the latest trends, tools, and best practices in the data & analytics field.
- Adaptability to a fast-paced, iterative development environment
- Experience with Even Driven Architectures.
- Experience creating and deploying SQL and NoSQL databases.
- You have experience building and optimizing data pipelines, architectures, and data sets.
- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with deep learning techniques and frameworks.