Data Analyst

Responsibilities

• Help collect data from a variety of sources - decipher and address the quality of data, filter and cleanse data, and identify missing data.
• Help measure, transform, and organize data into readily usable formats for reporting and further analysis.
• Develop and implement analytical databases and data collection systems.
• Analyze data in meaningful ways. Use statistical methods and data mining algorithms to analyze data and generate useful insights and reports.
• Identify and recommend new ways to optimize and streamline data collection processes.
• Collaborate with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  

Requirements

• Excellent analytical skills - You love numbers and have a strong attention to detail.
• Good communication and presentation skills - ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand.
• Keen desire to own up to things and get things done. You follow through on commitments: live up to verbal and written agreements.
• You are a quick learner of new technologies and easily adapt to change.
• Ability to collaborate effectively and work as part of a team.
• Enthusiasm: exhibit passion, excitement, and positive energy for work.
• Education in Engineering, Science, Mathematics, Statistics, Computer Engineering, Data Science, Data Analytics, or Data Mining.
• 2+ years of experience in a data analyst role.
• Great understanding of databases such as MySQL, Amazon Redshift and and are very adept at SQL.
• Understanding of scripts such as XML, JavaScript, and JSON.
• Knowledge of programming languages like SQL, Oracle, R, MATLAB.
• Proficient in Python and Shell scripting.
• Proficiency in statistical packages like Excel, SPSS, and SAS.
  

It Would Be Nice If You Also Had

• Knowledge of NoSQL databases such as MongoDB and ClickHouse.
• Experience with product analytics tools such as Mixpanel and FullStory.
• Experience with data visualization tools such as Tableau, Business Objects, Power BI, or Qlik.
• Adept at using data processing platforms like Hadoop and Apache Spark.
• Experience handling unstructured data such as text, audio, and video, and extracting features from those.
• Experience in building pipelines for ML models and running ML models.