Open Data Science job portal

Data Analyst 909 views

The ideal candidate will have excellent analytical abilities, strong technical skills, outstanding business acumen, intense curiosity, and superior verbal/written communication skills. The successful candidate will be a self-starter that is comfortable with ambiguity, strong attention to detail, and an ability to work in a fast-paced and ever-changing environment. Experience in Amazon systems and processes will be a key enabler of your success.

They are looking for someone with a track record of data-driven root cause analysis (Deep Dive), an ability to innovate (Invent and Simplify), can operate comfortably in a fast-paced environment (Bias for Action), and has an ability to work with ambiguity across disparate business and technical teams (Earns Trust).

Basic Qualifications

  • Degree in Computer Science, Engineering, Statistics, or Economics.
  • 5+ years of relevant work experience in data science, business intelligence, or other big data environments.
  • Strong proficiency at querying relational databases, eg. Oracle SQL Developer, ETL, Redshift, Vertica, MS SQL.
  • Proficient in multiple flavors of SQL, (e.g. PostgreSQL, MySQL, Redshift)
  • Experience in data visualization platforms (e.g. Tableau, PowerBI, QuickSight)
  • Advanced Microsoft Office skills, particularly Excel (VBA) and analytical platforms.
  • Ability to prioritize multiple concurrent projects while still delivering timely and accurate results
  • Experience with big data: processing, filtering, and presenting large quantities (millions of rows) of data.
  • Ability to work effectively with Data Engineers to mine the correct data sources efficiently and accurately
  • Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.
  • Genuine curiosity, proven problem-solving ability, and passion for data.

Preferred Qualifications

  • Experience in predictive modeling and analysis in big data environments.
  • Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline, and other big data technologies
  • Experience in advanced machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning, etc.)
  • Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
  • Experience in one of the modern visualization/reporting tools such as Tableau, QuickSight, etc.
  • Experience using one or more programming languages (e.g. Python, Java, C++, C#, Ruby)

More Information

Share this job
Company Information
Connect with us
Contact Us
https://jobs.opendatascience.com/wp-content/themes/noo-jobmonster/framework/functions/noo-captcha.php?code=142b6

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

Contact Us