Data jobs can feel closed to newcomers, but this one is written for people at the start of their careers. A partner company is looking for a Junior Data Analyst / Data Scientist to join a remote team, work on real business questions and grow across analytics, reporting and machine learning. Projects span financial services, retail, e-commerce and logistics.
About the Role
This is designed for an early-career professional who enjoys working with data, solving practical problems and turning analysis into actionable business insight. You would gather and validate data, explore it for patterns and inconsistencies, build dashboards and KPI reports, and support predictive and machine learning models. You would also help with forecasting, segmentation, A/B testing and customer, sales and operations analysis, then explain the findings to technical and business teams.
Career Impact & Growth Opportunity
The listing says the selected candidate will gain exposure to diverse data projects, including analytics, reporting, visualization, statistical analysis, predictive analytics and machine learning applications, with participation in AI and automation initiatives. It does not describe a promotion path or pay.
Why This Role Matters
Teams make better decisions when someone turns raw numbers into clear answers. This role is a practical way to build a portfolio across several industries.
Key Responsibilities
- Gather, organise, validate and prepare data from business and external sources
- Use Python, SQL and statistics to answer business questions
- Explore datasets for patterns, trends, inconsistencies and opportunities
- Create and support dashboards, KPIs and BI reporting
- Support building, testing and evaluating predictive and machine learning models
- Analyse customers, products, sales, marketing, finance and operations
- Assist with forecasting, segmentation, classification and recommendation use cases
- Support A/B testing and hypothesis validation
- Communicate findings to technical and business stakeholders
- Work with Product, Engineering, Finance, Marketing and Operations teams
Qualifications & Requirements
- Bachelor’s degree in data science, computer science, statistics, mathematics, economics, engineering or a related field
- Working knowledge of Python and SQL, including pandas, NumPy and scikit-learn
- Grounding in statistics and probability, and practical exploratory data analysis
- Understanding of reporting tools such as Power BI, Tableau or Looker
- Strong English communication and the ability to work independently in a remote team
- Preferred: internships, projects or bootcamps; Git/GitHub; Jupyter; basic cloud (AWS, Azure, GCP); a portfolio such as GitHub or Kaggle work
About This Opportunity
Ask about pay, currency, contract type, working hours and time zone before accepting an offer, since the listing does not state them.
Who Should Apply
Recent graduates, bootcamp finishers and career changers with Python and SQL skills should apply, especially if they have a portfolio. The listing gives no link here, so use the original posting, where the partner company handles the hiring process.
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