IT Specialist - Data Analysis

PXGEO · Dubai

Hybrid: DubaiFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Design, build, and update interactive Power BI dashboards with a focus on user experience and clarity
  • Create and optimize DAX measures, calculated columns, KPIs, and time-intelligence metrics
  • Build efficient data models using relationships, hierarchies, and star schema basics
  • Assist in the development and implementation of predictive and prescriptive analytics models
  • Perform data mining and modeling to identify trends, patterns, and anomalies in business data
  • Collaborate with business stakeholders to gather requirements and define key performance indicators
  • Ensure compliance with data privacy and security regulations and maintain data access controls

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field
  • At least 2 years of experience in data analytics and Business Intelligence (BI) roles
  • Technical proficiency in SQL and Power BI design and visualization
  • Solid understanding of data modeling principles
  • Basic knowledge of Python, data lakes, and data warehouses
  • Working knowledge of finance
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent English verbal and written communication skills
  • Ability to manage time and prioritize workload under pressure

Preferred Qualifications

  • Certification in a relevant data analytics or BI framework

About the Company

PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.

Skills & tools

Power BISQLPythonData AnalysisDAX

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor’s degree in Computer Science, Statistics, or related field
  2. 022+ years experience in data analytics and BI
  3. 03Technical knowledge of SQL and Power BI
  4. 04Basic knowledge of Python
  5. 05Basic knowledge of data lakes and data warehouses
  6. 06Solid understanding of data modeling
  7. 07Working knowledge of finance