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
