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Python Data Engineer + Data Analyst

Flatgigs

About Flatgigs

Flatgigs is a premier platform dedicated to connecting skilled professionals with dynamic opportunities in the gig economy. Our mission is to simplify the hiring process and empower users through innovative technology and data-driven insights. We are committed to fostering a collaborative and inclusive work environment where innovation thrives.

Position Overview

We are seeking a talented Product Data Analyst with strong Python skills to join our team. In this role, you will analyze product data to uncover insights that drive product improvements and business growth. You will collaborate closely with product managers, engineers, and other stakeholders to inform decision-making and optimize user experiences.

Key Responsibilities

  • Utilize Python to extract, analyze, and visualize product data from various sources.
  • Identify trends, patterns, and actionable insights to support product development and strategy.
  • Collaborate with cross-functional teams to define key metrics and track product performance.
  • Develop and maintain dashboards and automated reports to monitor product health.
  • Conduct A/B testing and data experiments to evaluate product changes and features.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proficiency in Python for data analysis, including libraries such as pandas, NumPy, and matplotlib.
  • Experience with SQL and data querying techniques.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Ability to work collaboratively in a fast-paced, agile environment.
  • Excellent communication skills for presenting data-driven insights.

Market Competitive Salary

Leaves

Health Insurance

Hybrid Work Model

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Vacancy posted 1 day ago
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