Splunk Data Analyst

Job Description

Your Position We 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. Your Profile You are the ideal candidate if you match at least the following requirements: Bachelors or masters 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 The following requirements are also desired: 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.