- Company Name
- Clarksons Research
- Job Title
- Data Analyst
- Job Description
-
Job title: Data Analyst
Role Summary: Recent graduate data analyst delivering actionable insights from diverse global datasets, building ETL pipelines, applying machine learning, and creating visual dashboards using SQL, Python, Power BI, and Databricks.
Expectations: 2.1+ degree in a numerate or analytical discipline (Maths, Physics, Chemistry, Computer Science, Data Science, Engineering, Earth Science, etc.); strong analytical and data‑handling aptitude; proficiency in SQL and Python; familiarity with Power BI and Databricks; excellent communication of findings; detail‑oriented, self‑motivated and quick to learn new tools; awareness of global trade, economics, and statistics.
Key Responsibilities:
- Extract, clean, transform, and load data using SQL, Python, and Databricks.
- Design, develop, and maintain scalable data pipelines and databases.
- Apply algorithmic and machine‑learning techniques to derive insights and validate data quality.
- Build interactive visualisations and dashboards in Power BI.
- Collaborate within an agile, cross‑functional team, communicating results clearly.
- Document data workflows, modelling decisions, and best practices.
- Support career progression into data science, engineering, or development roles.
Required Skills:
- SQL, Python programming, data manipulation (pandas, numpy, etc.).
- Experience with Power BI and Databricks.
- Fundamental knowledge of statistical analysis and machine‑learning basics.
- Data pipeline design and ETL best practices.
- Strong analytical reasoning, problem‑solving, and organisational skills.
- Effective verbal and visual communication of complex findings.
- Adaptability to new technologies and a proactive learning attitude.
- Understanding of global trade, economics, and statistics is advantageous.
Required Education & Certifications:
- Bachelor’s (or Master’s) degree in Mathematics, Physics, Chemistry, Computer Science, Data Science, Engineering, Earth Science, or related field with a minimum 2.1 classification.
- No mandatory certifications, though training on Databricks and related tools will be provided.