Talent Inc.

Data Analyst

Talent Inc.

full-time

Posted on:

Origin:  • 🌎 Anywhere in the World

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Job Level

JuniorMid-Level

Tech Stack

Amazon RedshiftCloudPythonSQL

About the role

  • Conduct research, create dashboards, and generate reports for teams across the organization
  • Ensure data is accurate and high-quality; analyze, structure, and present data to aid decision-making
  • 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
  • Create visually engaging reports and dashboards for internal teams and external partners
  • Perform in-depth data analysis to uncover reasons behind metric fluctuations and verify assumptions
  • 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

Requirements

  • Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
  • Strong knowledge of, and experience with, SQL and Python
  • Some experience with dbt
  • 2 to 4 years of hands-on experience in data analytics or a similar role
  • Expertise in analytical tools, specifically Periscope, Mixpanel, Google Analytics
  • Statistical knowledge, strong analytical and problem-solving skills
  • 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
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