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Beauty Companies is hiring a

Junior Data Scientist - [ Fully Remote ]

Colombo,Sri Lanka

Role Overview: As a Data Analyst / Junior Data Scientist at Ultimate Beauty, you'll be pivotal in analyzing and interpreting data to generate actionable insights for our business. Your tasks will include identifying data sources, collecting and organizing data, building predictive models, and creating visualizations to support informed decision-making. Your contributions will directly influence our marketing strategies, product development, and overall business performance.

Key Responsibilities:

Data Collection and Management:

  • Identify and gather relevant data from various sources to meet business needs.
  • Collect structured and unstructured data, sourcing and organizing missing data into usable formats.
  • Enhance data collection processes to improve efficiency and accuracy.

Data Processing and Analysis:

  • Process, cleanse, and verify data integrity.
  • Analyze data for trends and patterns to answer specific business questions.
  • Assess data quality and perform necessary cleaning.
  • Develop and maintain databases to support data analysis activities.

Predictive Modeling and Machine Learning:

  • Build predictive models and machine learning algorithms to forecast trends and inform business strategies.
  • Continuously refine models to enhance accuracy and performance.

Data Visualization and Reporting:

  • Generate insights from data sets to identify trends and patterns.
  • Create visualizations to effectively communicate data findings to executive and project teams.
  • Prepare comprehensive reports to support business decisions.

Data Infrastructure and Tools:

  • Set up and maintain data infrastructure to support data collection and analysis.
  • Utilize reporting and data visualization tools such as Business Objects, PowerBi, and Tableau.
  • Work with ETL frameworks and tools.
  • Use digital marketing analytics tools like Google Analytics and Google Tag Manager.

Requirements:

  • Strong mathematical and numeracy skills.
  • Intermediate understanding of databases such as SQL Server, PostgreSQL, and MongoDB.
  • Proficiency in reporting and data visualization tools like Business Objects, PowerBi, and Tableau.
  • Knowledge of website scripts such as XML, Javascript, and JSON.
  • Understanding of ETL frameworks and tools, including Alteryx and Microsoft SSIS.
  • Familiarity with digital marketing analytics tools like Google Analytics.
  • Excellent analytical skills with the ability to identify trends and insights from data.
  • Strong attention to detail and accuracy in data handling.
  • Effective presentation skills, with the ability to communicate complex ideas clearly and concisely.
  • Problem-solving skills to address data-related challenges.
  • Strong communication and stakeholder management skills.
  • Understanding of the eCommerce industry and marketplaces such as Amazon, eBay, and Walmart.

Nice to Haves:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Experience in the beauty or eCommerce industry is a plus.
  • Prior experience in a similar role is advantageous.

Benefits:

  • Remote work with the flexibility to work from anywhere.
  • Flexible working hours.
  • Full-time permanent contract.
  • Compensation of $2500-$3000 gross per month.
  • Paid vacation (22 working days + 14 banking holidays).
  • Private Health Care.
  • Annual company retreats.
  • Work in a young and friendly team.

Compensation Philosophy: Ultimate Beauty is a remote company hiring globally. We aim to provide equal pay for the same role and capability, regardless of location. This means our salary ranges are often aligned with lower-cost regions where we find exceptional talent. We generally do not hire in North America or Western Europe, as our salaries would not support a comfortable lifestyle in these regions.

Salary and compensation

No salary information available

Benefits

  • Company retreats 🏔
  • No monitoring system 👀
  • No politics at work 🚫
  • We hire old (and young) 🎅

How to Apply

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