Remote Data Analyst

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Talent Inc.

πŸ“Remote - Worldwide

Job highlights

Summary

Join a rapidly growing company as a highly skilled Data Analyst to help revolutionize the career-services industry by conducting research, creating dashboards, and generating reports for teams across the organization.

Requirements

  • Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
  • Possesses strong knowledge of, and experience with, SQL and Python
  • A solid 2 to 4 years of hands-on experience in data analytics or a similar role
  • Expertise in analytical tools, specifically Periscope, MixPanel, Google Analytics, etc
  • Having statistical knowledge, strong analytical and problem-solving skills are key, including the ability to handle and accurately analyze large data with detail
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team
  • Technical proficiency in database design development, data models, data marts as well as techniques for data mining and segmentation

Responsibilities

  • Develop and implement data-driven strategies to enhance product performance and user experience
  • Analyze user behavior and product usage data to identify opportunities for optimization and innovation
  • Design and maintain databases to ensure efficient storage and retrieval of product-related information
  • Create visually engaging reports and dashboards for internal teams and external partners, aiding in data-driven decision-making
  • Perform in-depth data analysis to uncover reasons behind metric fluctuations and verify assumptions, addressing ad-hoc questions beyond standard dashboards
  • Collaborate with cross-functional teams to understand product requirements and improve feature functionalities
  • Utilize statistical models and machine learning techniques to predict product trends and user behavior
  • Implement rigorous quality assurance processes to uphold data accuracy and reliability
  • Present insights and recommendations to stakeholders, contributing to product strategy development
  • Enhance data warehouse organization with new objects like analytic data marts and views
  • Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs

Preferred Qualifications

  • Experience with cloud-based data warehousing platforms such as Redshift, Snowflake, etc
  • Experience with Message Gears

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