Junior Data Analyst / Data Scientist

Company Description

  • This position is listed on behalf of a partner company, which manages all applications and next steps.
  • Our partner is looking for a Junior Data Analyst / Data Scientist to join their remote team and support data-driven decision-making across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML).
  • The role is ideal for an early-career data professional who enjoys working with data, identifying meaningful patterns, building analytical solutions, and turning complex datasets into actionable business insights.
  • The successful candidate will work across analytics and data science initiatives, supporting reporting, business intelligence, predictive analytics, experimentation, and machine learning projects.

Key responsibilities include:

  • Analyze structured and unstructured datasets using Python, SQL, and statistical methods
  • Perform Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and business opportunities
  • Develop recurring reports, dashboards, KPIs, and Business Intelligence (BI) solutions
  • Extract, clean, transform, and validate data from multiple sources
  • Conduct descriptive and statistical analysis to support business decisions
  • Develop basic predictive and Machine Learning (ML) models under the guidance of senior team members
  • Support customer, product, sales, marketing, and operational analytics initiatives
  • Analyze customer behavior, business performance, transactions, and operational metrics
  • Assist with forecasting, segmentation, classification, and predictive analytics projects
  • Design and analyze A/B tests, experiments, and hypothesis tests when required
  • Create data visualizations and communicate insights to technical and non-technical stakeholders
  • Support Artificial Intelligence (AI), automation, and data-driven business initiatives
  • Identify opportunities to improve reporting, analytics workflows, and data quality
  • Collaborate with Product, Engineering, Finance, Marketing, Operations, and Business teams
  • Translate business questions into analytical problems and data-driven recommendations

Requirements

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field
  • Strong foundational knowledge of Python and SQL
  • Understanding of statistics, probability, and data analysis concepts
  • Experience working with datasets and performing Exploratory Data Analysis (EDA)
  • Familiarity with pandas, NumPy, scikit-learn, or similar Python libraries
  • Experience creating dashboards or reports using Tableau, Power BI, Looker, Metabase, or similar BI tools
  • Strong analytical and problem-solving skills
  • Ability to communicate analytical findings clearly to technical and non-technical stakeholders
  • Strong written and verbal English communication skills
  • Ability to work independently and collaboratively in a remote environment

Preferred Qualifications

  • Internship, academic, bootcamp, or project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning
  • Exposure to Financial Services, FinTech, Retail, E-commerce, Logistics, or other data-intensive industries
  • Familiarity with Git and GitHub
  • Experience using Jupyter Notebook
  • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
  • Exposure to BigQuery, Snowflake, Redshift, Databricks, or other modern data platforms
  • Experience with Excel, Tableau, Power BI, Looker, or similar analytics tools
  • Exposure to Machine Learning, Predictive Analytics, or Statistical Modeling
  • Exposure to Generative AI, Large Language Models (LLMs), or AI-powered applications
  • GitHub portfolio, Kaggle projects, university projects, bootcamp projects, or personal Data Analytics / Data Science projects
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