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Data Analyst - Remote

Company

MLF United Group

Address San Diego, CA, United States
Employment type CONTRACTOR
Salary
Category Manufacturing,Consumer Services,Accounting
Expires 2023-09-27
Posted at 8 months ago
Job Description
Summary


The Data Analyst 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


  • Manage data collection, cleansing, and manipulation processes to ensure data is readily accessible and easy to work with.
  • Collaborate with stakeholders to identify business questions and translate them into data and analysis requirements.
  • Develop, maintain and analyze performance metrics and reports that support data-driven decision-making processes.
  • Design and execute A/B tests and experiments to identify opportunities for optimization.
  • Develop models and algorithms to help optimize business processes and drive efficiencies.
  • Identify data quality issues and help to develop solutions to improve data integrity, accuracy, and completeness.
  • Analyze large data sets using advanced statistical techniques and tools to uncover trends, opportunities, and insights.
  • Prepare and present data-driven reports and insights to stakeholders, highlighting key findings and recommendations.


Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Statistics or related field.
  • Experience with data visualization tools such as Tableau, Power BI, or related tools.
  • Familiarity with data management and ETL processes.
  • 2+ years of relevant experience in data analysis, preferably in the Internet and New Media industry.
  • Knowledge of statistical modeling, hypothesis testing, and A/B testing methodologies.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Proven experience in analyzing large and complex datasets using SQL, R, Python, or related tools.
  • Strong analytical, critical thinking, and problem-solving skills.