Data Analyst - REMOTE at Lifelancer

Join Lifelancer as a Data Analyst and be a crucial part of our data-driven team! We are seeking a highly motivated professional to take ownership of critical data processes and provide strategic insights to drive key business decisions.

Responsibilities

• Documentation, Reporting, Root Cause analysis of Prediction issues
• Analyze ingested and system-generated data for anomalies and gaps
• Refer to various data sources to plug those gaps
• Create data stories and come up with possible solutions in terms of QA process flow change and/or automation. Own the subsequent plan and execution
• Automation of Performance/Accuracy review processes, report generation, data visualization using Python, SQL
• Support engineering and data science teams in system-level data fixes. Understand how the engine makes predictions, explore possible improvements by fixing/introducing new data/features
• Support customer operations and marketing teams in obtaining insights from the data, such as performance, accuracy metrics, impact of real-time events, etc. as required
• Maintain and own internal and customer dashboards based on trial/account requirements (e.g. prediction accuracy, timeliness, coverage, explainability)

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
• Prior experience in data analysis or data analyst roles, preferably in a startup environment
• Exceptionally skilled in Python and SQL, with a demonstrated ability to produce reusable and highly scalable code
• An eye for detail in identifying anomalies in the system
• Familiarity with Linux, GitHub, and product development
• Proven experience with data visualization
• Empathy and Urgency to understand customer pain points and react promptly
• A problem solver & go-getter: meeting customer expectations and delivering on time either programmatically or manually
• Fluent in English, both written and verbal
• Strong ownership mindset, efficiency, and a data-driven approach
• Good to have: basic understanding of machine learning algorithms

Apply now to join a dynamic team and make an impact! Please apply on the for a quicker response.