Data Analyst

  • دوام كامل
  • Riyadh
  • 00 ر.س / Month
  • Salary: 00
  • Saudi Only
  • 2023-12-14

الموقع الإلكتروني zidappcom Zid

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Data Analyst


The Data Analyst will be responsible for analysing large amounts of data and providing insights that will drive business decisions. This role will require a strong understanding of data analysis tools, techniques and methodologies as well as the ability to communicate findings to non-technical stakeholders.


  • Collect, analyse, and interpret large datasets using statistical techniques
  • Develop visualisations and dashboards to communicate insights and findings
  • Collaborate with cross-functional teams to identify business opportunities
  • Provide recommendations to improve performance
  • Monitor and analyse key performance indicators to measure the effectiveness of business strategies
  • Develop and maintain data models and databases to support business needs
  • Automate data collection, processing, and analysis workflows to increase efficiency and accuracy
  • Stay up-to-date with industry trends and best practices in data analysis and visualisation


  • Bachelor’s degree in Mathematics, Statistics, Computer Science or related field
  • Strong analytical and problem-solving skills
  • Proficiency in SQL, Python or R programming languages
  • Experience with data visualisation tools such as Tableau, PowerBI or Looker
  • Excellent communication and presentation skills
  • Experience with big data technologies such as Hadoop or Spark
  • Familiarity with machine learning algorithms and techniques
  • Knowledge of data warehousing and ETL processes
  • Understanding of database design and management principles
  • Experience with cloud-based data platforms such as AWS, GCP or Azure
  • Ability to work with unstructured data sources such as social media or web analytics
  • Familiarity with data governance and data quality frameworks
  • Ability to create visualisations/dashboards to communicate insights and findings

OKRs and KPIs

Objective 1:

  • Automate at least 50% of data collection, processing, and analysis workflows
  • Improve data analysis efficiency and accuracy
  • Reduce data collection and analysis errors by at least 20%
  • Increase the speed of data analysis by at least 30%

Objective 2:

  • Conduct user research to identify key needs and pain points
  • Increase understanding of user needs through data analysis
  • Analyze user data to uncover trends and insights related to user needs
  • Develop at least two user personas based on data analysis

Objective 3:

  • Identify at least three business opportunities through data analysis
  • Improve business performance through data-driven decision-making
  • Provide recommendations to improve business performance based on data analysis
  • Communicate data-driven insights and recommendations to non-technical stakeholders at least once a month

Hard Skills

  • SQL : Proficiency in writing queries to manipulate and analyse data stored in relational databases
  • Python or R Knowledge of programming languages to perform statistical analysis
  • Data manipulation and automation tasks
  • Data Visualisation: Experience with tools such as Tableau, PowerBI or Looker
  • Statistics : Understanding statistical concepts and methods such as hypothesis testing/regression analysis
  • Data Cleaning: Ability to clean and transform data to ensure accuracy and consistency

Soft Skills

  • Communication : Ability to effectively communicate findings and insights to non-technical stakeholders
  • Collaboration : Capacity to work effectively with cross-functional teams to identify business opportunities
  • Time Management : Ability to prioritise tasks and meet deadlines
  • Attention to Detail : Being meticulous and accurate in data collection, analysis, and interpretation
  • Problem-solving : Capability to identify problems and develop creative solutions

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