Python Data Analyst
Employer Industry: Technology and Data Analytics Why consider this job opportunity... - Competitive salary with opportunities for growth and advancement - Hybrid work model: 3 days onsite and 2 days remote - Chance to work with cutting-edge technologies, including Python and AWS - Collaborative environment with cross-functional teams - Opportunity to enhance your skills in data analysis and project management What to Expect (Job Responsibilities): - Extract data from various sources using Python and AWS S3 - Perform data analysis and validation to ensure data quality and accuracy - Utilize Jira for task tracking and project management - Create and maintain data models and mappings - Collaborate with cross-functional teams to understand data requirements and provide insights What is Required (Qualifications): - Minimum of 5 years of experience working as a Data Analyst in a techno/functional role - At least 2 years of experience using Python for data extraction and working with cloud platforms, preferably AWS S3 - Proficient in data validation, data mapping, and understanding data models - Experience with Jira for project tracking and Excel for data analysis - Ability to extract data from various sources and formats How to Stand Out (Preferred Qualifications): - Experience with Spark or other data processing frameworks - Familiarity with additional data extraction tools - Knowledge of Risk and Fraud data models #DataAnalytics #Python #CloudComputing #HybridWork #CareerGrowth At Talentify, we prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. Talentify is not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer Apply Job!