Scale Operator​/Data Analyst​/Data Entry Clerk

Summary: Scale Operator/Data Analyst/Data Entry Clerk/Full Time will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to the business. They will work closely with cross-functional teams to gather and analyze data, develop reports, and provide customized solutions to help the organization gain a competitive edge. Responsibilities: Analyze large data sets using advanced statistical techniques and tools to uncover trends, opportunities, and insights. Develop, maintain and analyze performance metrics and reports that support data-driven decision-making processes. Collaborate with stakeholders to identify business questions and translate them into data and analysis requirements. Develop models and algorithms to help optimize business processes and drive efficiencies. Design and execute A/B tests and experiments to identify opportunities for optimization. Identify data quality issues and help to develop solutions to improve data integrity, accuracy, and completeness. Manage data collection, cleansing, and manipulation processes to ensure data is readily accessible and easy to work with. Prepare and present data-driven reports and insights to stakeholders, highlighting key findings and recommendations. Qualifications: 1+ years of relevant experience in data analysis, preferably in the Internet and New Media industry. Proven experience in analyzing large and complex datasets using SQL, R, Python, or related tools. Strong analytical, critical thinking, and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Experience with data visualization tools such as Tableau, Power BI, or related tools. Knowledge of statistical modeling, hypothesis testing, and A/B testing methodologies. Familiarity with data management and ETL processes. If you are interested in this position, please send your resume, contact information and salary requirements to : hiringe Powered by Webbtree Apply tot his job