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The Hawkers Club - Senior Data Analyst - Serbia - Remote

As our Senior Data Analyst, the purpose is to provide the business with actionable insights derived from complex data analyses. This position is going to be working closely with the 2 co-founders of the business in validating service development hypotheses and building complex analytical models to prove or disprove the hypotheses.

Key responsibilities:

🧾 Utilize advanced analytics to solve complex problems and generate actionable insights that can be used to drive business decisions.

📦 Extract and analyze large volumes of data from various internal and external sources

📑 Identify trends, patterns, and insights that can significantly influence business decisions and strategies.

💼 Design and execute A/B testing frameworks to test hypotheses related to product features, and current and future service offerings

📊 Create intuitive visualizations and detailed reports to communicate findings and recommendations to both technical and non-technical stakeholders.

🗓️ Develop solutions that align with the overall business goals and collaborate on the implementation of these solutions to ensure they meet the intended objectives

📑Work closely with various business units to understand their data needs and challenges.

Requirements

✅ Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

✅ Strong proficiency in programming languages such as Python or R. 

✅  Experience with SQL and familiarity with database management practices to handle and query large datasets efficiently.

✅ Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn.

✅Data Analysis Tools: Proficiency in using data analysis and visualization tools to interpret data and present insights effectively

✅Proven experience as a Data Scientist, Data Analyst, or in a similar role, preferably within an e-commerce or a related industry

✅Excellent analytical and problem-solving abilities.

✅Strong communication and interpersonal skills are crucial for explaining complex data insights to non-technical stakeholders and for collaborating effectively across different teams within the organization.

As the Ideal Candidate, you should have:

✅ Analytical Mindset Curiosity and Inquisitiveness

✅ Problem-Solving Skills

✅ Attention to Detail 

✅ Adaptability Communication Skills

✅ Patience and Persistence

✅ Excellent Excel experience

Brownie Points for:

✅ Experience with advanced machine learning techniques such as deep learning, natural language processing (NLP), or reinforcement learning.

✅ Experience in using advanced features of cloud platforms (AWS, Azure, Google Cloud) such as machine learning services and automated data pipeline tools.

✅ Familiarity with big data frameworks like Hadoop or Spark is beneficial.

✅  Skills in advanced data visualization tools and software beyond basic reporting—such as Tableau, Power BI, or even more sophisticated interactive web visualization frameworks like D3.js

Benefits

  • 💰 Competitive Salary: Earn a monthly salary of $4000 - $4500.
  • 🌴 15 Days paid off + local/US Bank holidays
  • 🌟 Up to 10% of annual wage bonus
  • 🌴 Private health insurance subsidy
  • 💰 Quarterly salary reviews and upon outstanding performance; salary increases are rewarded based on review
  • 🌟 Professional growth opportunities e.g. progressing to building own tean and managing multiple team members.
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Job Profile

Regions

Europe

Countries

Serbia

Benefits/Perks

Annual wage bonus Competitive salary Health insurance subsidy Paid Time Off Professional growth opportunities Salary Increases Salary reviews

Skills

A/B Testing Analytical Communication D3.js Data analysis E-commerce Excel Power BI Python PyTorch R Scikit-learn SQL Tableau TensorFlow

Tasks
  • A/B testing
  • Advanced analytics
  • Collaborating with business units
  • Creating visualizations and reports
  • Data Analysis
  • Data extraction and analysis
  • Identifying trends and patterns
Education

Business Computer Science Data Science Mathematics Statistics

Timezones

Europe/Belgrade UTC+1