Data Analyst

Responsibilities

• set up and maintain automated data processes.
• Identify, evaluate and implement external services and tools to support data validation and cleansing.
• Produce and track key performance indicators.
• Design and carry out surveys and analyze survey data.
• Manipulate, analyze and interpret complex data sets relating to the employer’s business.
• Develop and support reporting processes.
• Monitor and audit data quality.
• Liaise with internal and external clients to fully understand data content.

Required Skills

• Advanced Excel skills (analytical platforms as well as Tableau & Quicksight skills would be advantageous)
• Strong knowledge of cutting-edge algorithms, as well as their strengths and weaknesses.
• Preferred languages: R, Python, SQL, Hive, Spark.
• Able to quickly define and assess key issues and challenges in data or processes and problem solve efficiently.
• Excellent verbal and written communications skills.
• Excellent organizational skills including prioritizing, scheduling, time management and meeting deadlines.

Required Experience

• At least 2-4 years of relevant experience in a business analyst, data analyst or statistical analysis role.
• Experience with developing and production data processing pipeline using tools like Apache Beam, Spark and/or Flink.
• Experience with statistical modeling approaches.
• Experience implementing software to make data accessible through simple Web and APIs.
• Previous experience with natural language processing.
• Previous experience with story-telling and visualization.
• Previous experience leading predictive analytics projects from problem framing to delivery of products to customer.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field