Data Analyst

You will interpret and analyse data using statistical techniques and provide ongoing reports. You will build reporting infrastructure, interactive dashboards, and analytical tools; acquire data; identify data-system issues and trends; develop regression and forecasting models; and identify process improvements.

Responsibilities

• Interpret data, analyse results using statistical techniques, and provide ongoing reports.
• Develop reporting infrastructure, interactive dashboards, and analytical tools.
• Acquire data from primary and secondary sources and identify issues in databases and data systems.
• Identify and interpret trends and patterns in complex datasets.
• Develop regression and forecasting models using historical data.
• Work with management to prioritize business and information needs.
• Identify process improvement opportunities.

Requirements

• Bachelor’s or Master’s degree in statistics, mathematics, or engineering.
• 2+ years of experience as a Data Analyst or Business Data Analyst.
• Technical expertise in data models, database design and development, data mining, and segmentation techniques.
• Knowledge of Excel, SQL, Python, and dashboarding tools such as Metabase and Tableau.
• Knowledge of statistics and experience with Pandas, NumPy, scikit-learn, and Seaborn.
• Experience developing regression and forecasting models using historical data.
• Strong analytical skills for collecting, organizing, analysing, and disseminating information.