Data Analyst

Job Description:

Remote Position

We are looking for a Data Analyst to analyse large amounts of raw data to find patterns that will help improve our processes. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for math, statistics, and reporting. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for learning and research.

Your goal will be to help our company analyse trends and use the right technology to make better decisions.

Responsibilities:

  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data
  • Mine and analyse data from files and databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Extending company’s data with third party sources of information when needed
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Develop custom data models and algorithms to apply to data sets.
  • Build predictive models and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Collaborate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Develop company A/B testing framework and test model quality.

Required Skills/Experience:

  • Minimum 3 years
  • Proven experience as a Data Scientist or Data Analyst
  • Understanding of machine-learning and operations research
  • Problem-solving aptitude
  • Strong problem-solving skills with an emphasis on product development.
  • Coding knowledge and experience with Python language
  • Experience using business intelligence tools (e.g. Tableau), data visualization tools (e.g GGplot) and data frameworks (e.g.
    Hadoop)
  • Proficiency in using query languages such as SQL.
  • Experience with NoSQL databases, such as MongoDB is an asset.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience analysing data from 3rd party providers: Google Analytics, AdWords would be an advantage.
  • Experience creating and using advanced algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering,
    decision trees, neural networks, etc.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Post-Graduate or Graduate degree in Data Science and Analytics or other quantified field; M.Sc./B.Sc. in Computer science or
    Engineering or relevant field

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee discount
  • Health insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

Schedule:

  • Monday to Friday

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