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Data Analyst Intern

Middlesex University Dubai
1 day ago
Full-time
On-site
Dubai, 03

JobsCloseBy Editorial Insights

This Data Analyst Intern role with Deriv, hosted by Middlesex University Dubai in Dubai, is a full‑time onsite position focused on turning data into actionable insights while preserving data integrity. You’ll gather, process, transform, and organize data to identify trends and opportunities, build dashboards or alerts, and present findings to stakeholders. Core requirements include SQL, Python or R, ETL/ELT, data modeling and wrangling, plus experience with Tableau or Looker Studio and a solid background in statistics, mathematics, or engineering, along with strong communication and English fluency. Nice to have: GCP, PostgreSQL, data science, marketing domain knowledge, and low‑code AI tools. Apply via the Superset link (not the Apply Now button); issues to [email protected]. Tip: tailor your resume to highlight data wrangling projects, dashboards you built, and measurable outcomes.

As a Data Analyst Intern at Deriv, you will gather, process, transform, and organize data into actionable insights. Your methodical and logical approach will be crucial to maintaining data integrity. You will identify data trends and inconsistencies that can impact our business goals. You will solve complex business challenges by using data-driven techniques.

Key Responsibilities:

  • Fulfiil data and business related requirements by understanding the business domain and converting them to data driven solutions, further improving customer experience, optimizing product or enabling process automation.
  • Develop data models to cater for business analytics requirements while considering data privacy, data accessibility and data accuracy.
  • Identify and resolve gaps in the data collection and analysis processes.
  • Provide and maintain the reporting and analysis solutions in the form of dashboards or alerts, and present them to stakeholders.
  • Support standardised business terminologies and definitions across the company.

Requirements:

  • Knowledge on reporting packages, SQL, programming (Python/R), and ETL/ELT frameworks for data wrangling purposes
  • Knowledge on data modeling and data aggregation best practices.
  • Experience developing and building reports and dashboards with data visualisation tools such as Tableau, Google Looker Studio, etc.
  • Analytical skills with the ability to transform data into optimal business decisions
  • Solid background in statistics, mathematics, or engineering
  • Strong communication and presentation skills
  • Fluency in spoken and written English

Whats good to have:

  • Experience with Google Cloud Platform (GCP) such as Google BigQuery, Scheduled queries, Google Cloud storage and functions
  • Quality experience in relational SQL, preferably with PostgreSQL
  • Data Science background.
  • Understanding the marketing domain of financial products and services.
  • Proficiency in using AI and low code data tools to create data solutions.

Requirements

Only applicants that apply via this link (not the APPLY NOW button) will be considered for further review and selection.
If you experience any technical issues with Superset or have any related queries, please feel free to reach out to us at  [email protected]