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1 Week ago

Data Analyst

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Information Technology
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Overview

We are seeking a detail-oriented and analytical Data Analyst to join us.

The ideal candidate will play a key role in transforming data into actionable insights that will drive our business strategies and improve operational efficiency.

Responsibilities

  • Assist in the design and implementation of data collection processes.
  • Extracting data from primary and secondary sources and removing corrupted data.
  • Automate data extraction and transformation processes to streamline data workflows and ensure data accuracy.
  • Create and design interactive and insightful data visualizations and dashboards to communicate findings and drive decision-making.
  • Collaborate with stakeholders to understand their requirements and translate them into actionable analytics solutions.
  • Ensuring that the data is accurate and high-quality
  • Perform exploratory data analysis to identify trends, patterns, and insights.
  • Perform statistical analysis and modelling to support the business decision-making process.
  • Provide recommendations based on data analysis to enhance business strategies.
  • Stay abreast of the latest technologies and best practices in data analysis to ensure that our analytics capabilities remain competitive.

Requirements:

  • Having good work experience as a Data Analyst.
  • Ability to work independently as well as collaboratively in a fast-paced team environment.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Excellent problem-solving skills and attention to detail.
  • Experience working with large datasets and database systems.
  • Experience with Excel (advanced level), including pivot tables and complex formulas.
  • Proficiency in data analysis tools such as SQL, Python, or R and data visualization tools (e.g., Tableau, Power BI, Looker Studio etc).
  • Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery) is an advantage.
  • Strong understanding of statistical methods and data modelling techniques.
  • Proficiency in data mining techniques, statistical analysis, and data visualization to help us leverage our data assets effectively.

If you have a passion for data and wish to contribute to the success of our organization by providing high-quality analysis and reporting, we encourage you to apply for this exciting opportunity.

Apply now to join our team!
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