Junior Data Analyst / Data Scientist Why Hiring Fast Track available

HireHouse; United Arab Emirates; À distance; AED 100 000 - 145 000; Plein temps

Résumé du poste

HireHouse partner is seeking aJunior Data Analyst/Data Scientist to join their remote team and support data-driven decision making across Financial Services, Retail, E-commerce, Logistics, BI, AI and ML projects.

Responsibilities include analyzing data with Python/SQL, performing EDA, building dashboards and BI solutions, and supporting forecasting, segmentation, and predictive analytics with guidance from senior teammates. Strong communication in English required.

Qualifications

• Bachelor's degree required in a quantitative field.
• Solid foundation in Python and SQL.
• Experience with data analysis, EDA, and statistics.
• Experience building dashboards/reports with BI tools.
• Familiarity with ML concepts and basic modeling.

Responsabilités

• Analyze structured and unstructured data with Python, SQL, and statistics.
• Perform EDA to identify trends and opportunities.
• Develop recurring reports, dashboards, KPIs and BI solutions.
• Extract, clean, transform, and validate data from multiple sources.
• Create data visualizations and communicate insights to stakeholders.
• Develop basic predictive models under senior guidance.
• Collaborate across Product, Engineering, Finance, Marketing, Operations and Business teams.

Formation

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field

Outils

Python

SQL

Tableau

Power BI

Looker

Metabase

GitHub

Jupyter Notebook

AWS / Azure / GCP

BigQuery / Snowflake

Excel

Description du poste

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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