DataAnalyst

As a Data Analyst working as part of a cross-functional development team, you will play a pivotal role in delivering accurate, actionable data insights from a network of over 300,000 devices across the globe. In this role, you’ll engage in analyzing large datasets to identify and rectify quality issues, continually monitor and optimize data pipelines, and implement robust quality control measures. You'll also contribute to automation efforts to streamline data processing, enhancing our team’s efficiency and the quality of our deliverables. If you are passionate about data quality, have a keen eye for detail, and thrive in collaborative environments, this role offers a unique opportunity to work on a significant global scale. Key Responsibilities * Ensure the accuracy, consistency, and integrity of large-scale datasets * Analyze data to identify anomalies, trends, and quality issues, and propose solutions * Support the implementation and maintenance of data quality checks and validation processes * Monitor and troubleshoot data pipelines to ensure reliable data flow and availability * Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges * Develop and maintain dashboards and reports to track data quality and key metrics * Contribute to automation efforts that improve efficiency and reduce manual data handling * Document data processes, definitions, and quality standards ## Qualifications Required skills and knowledge * Solid experience with SQL and at least basic-to-intermediate proficiency in Python * 2 years of experience in data analysis, data quality, or related roles * Familiarity with data warehousing concepts and ETL processes * Strong analytical thinking and problem-solving skills * Good attention to detail with a structured, methodical approach to work * Ability to communicate insights clearly to both technical and non-technical stakeholders * Experience working in collaborative, cross-functional teams