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Data Analyst - job post


Job details

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Job type

  • Full-time



Full job description

Dsquares specializes in offering loyalty programs that bring our customers closer to their consumers. Through our different range of solutions, we deliver an end-to-end experience, managing and executing all technical, operational, and commercial aspects of our customers’ loyalty programs. From full loyalty programs, couponing solutions to interactive directory services, coupled with an extensive network of merchants, Dsquares serves some of the most loved brands in the region.

Our People is our Brand - Developing seamless loyalty solutions is only possible when we’ve got a great team on our side. Our culture is open and empowering. If you are passionate and driven, you will fit right in.

About The Role:

We are seeking a talented Data Analyst to join our Product department at Dsquares. As a Data Analyst, you will play a crucial role in analyzing and interpreting complex data sets to provide valuable insights that drive business decisions.

Key Duties & Responsibilities

  • Analyze large datasets to identify trends, patterns, and correlations
  • Develop and maintain data models, databases, and data systems
  • Create and implement data collection and analysis methodologies
  • Collaborate with cross-functional teams to define data requirements
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Present findings and recommendations to stakeholders in a clear and concise manner
  • Create clear and compelling reports, dashboards, and visualizations to communicate findings.
  • Present data-driven insights to various stakeholders, including non-technical audiences.
  • Collaborate with business units to understand reporting requirements and deliver actionable reports.

Required Skills & Abilities:

Proficiency in data analysis tools and languages (e.g., Python, SQL).

  • Experience with data visualization tools (e.g., Looker Studio, Power BI).
  • Strong knowledge of statistical concepts and methodologies.
  • Excellent problem-solving and critical-thinking skills.
  • Effective communication skills with the ability to present complex findings to diverse audiences.
    Strong attention to detail and ability to work independently or as part of a team.

Education & Experience:

  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
  • 1-3 years of experience as a data analyst, with a proven track record of delivering impactful insights.


  • Private Medical Insurance & life cover.
  • Transportation & Mobile Allowance Benefit.
  • Annual profit share.
  • Hybrid working environment.
  • Inclusive working environment with enhanced maternity and paternity benefits.
  • Work and organizational culture which values learning.
  • Regular perks such as company social, wellbeing & CSR events.
  • Your Birthday Off.
  • Extra day of leave for every year of completion.
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