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Data Analyst

Permanent employee, Full-time · Remote

Are you passionate about data analysis and seeking a challenging role in a dynamic IT Sales company? Look no further! We are currently seeking a skilled and motivated Data Analyst to join our team and help drive our business forward through data-driven insights.

As a Data Analyst, you will play a vital role in collecting, analysing, and interpreting complex data sets to uncover valuable insights. You will collaborate with cross-functional teams, including Sales, Marketing, and Finance, to identify trends, measure performance, and develop actionable strategies to drive sales growth and improve overall business outcomes.

  • • Collect, organize, and analyse large volumes of data from various sources, ensuring data integrity and accuracy.
  • • Identify trends, patterns, and correlations in data sets to support decision-making processes.
  • • Develop and maintain data models, dashboards, and reports to effectively communicate insights to stakeholders.
  • • Collaborate with Sales and Marketing teams to identify opportunities for revenue growth and customer acquisition.
  • • Perform statistical analysis and predictive modelling to support sales forecasting and demand planning.
  • • Conduct ad-hoc data analysis and provide recommendations based on findings.
  • • Continuously monitor and evaluate data quality, identifying and resolving any inconsistencies or anomalies.
  • • Stay up to date with industry trends, best practices, and emerging technologies in data analysis.

  • • Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
  • • Proven experience as a Data Analyst or similar role in an IT or sales environment.
  • • Proficiency in SQL, Excel, and data visualization tools
  • • Strong analytical and problem-solving skills with a keen attention to detail.
  • • Knowledge of statistical analysis techniques and experience with statistical tools is a plus.
  • • Familiarity with CRM systems (e.g., Salesforce) and experience working with large datasets.
  • • Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.

  • • Competitive salary
  • • Professional development opportunities and training programs.
  • • Collaborative and inclusive work environment.

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