Data Analyst

Overview

• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data.
• Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Develop regression and forecasting models using historical data to predict the future performance of the portfolio.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.
  
  

• Bachelor's or Master's degree in statistics/mathematics/engineering.
• 2+ years of experience as a Data Analyst or Business Data Analyst.
• Technical Expertise in data models, database design, development, data mining, and segmentation techniques.
• Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc.
• Develop regression and forecasting models using historical data to predict the future performance of the portfolio.
• Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Keen interest in solving problems using data and providing a new perspective to stakeholders.
  
  

This job was posted by Laveena Soni from Skeps.