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Data Analyst

Posted 10 days 5 hours ago by Group Bayport

Permanent
Not Specified
I.T. & Communications Jobs
Not Specified, United Kingdom
Job Description

Group Bayport is a rapidly growing global e-Commerce organization operating in B2B2C, B2B, and B2C sectors. We specialize in delivering high-quality custom products through innovative digital technologies, manufacturing capabilities, and a global supply chain. As an industry leader in print technology, we operate across the United States, Canada, Australia, New Zealand, UK, and India through brands such as BannerBuzz, Covers & All, Vivyx Printing, Circle One, Giant Media, and Neon Earth.

Our offerings range from trade show and small business marketing solutions to outdoor living covers, signage, shades, personal accents, and home decor. We aim to help our customers and partners make personalized statements through customization.

Our strength lies in our team of over 1450 talented individuals. We are seeking exceptional talent to join us on our exciting growth journey.

For more information about Group Bayport, please visit our website.

Position: Data Analyst

Job Responsibilities:

  1. Extract data from primary and secondary sources and clean the data.
  2. Ensure data accuracy and quality.
  3. Develop and manage data systems and databases.
  4. Establish KPIs to provide actionable insights.
  5. Analyze data to identify trends supporting business decisions.
  6. Collaborate with engineers and developers on data governance strategies.

Desired Skills and Abilities:

  • Ability to gather, view, and analyze data effectively.
  • Proficiency in MS Excel and data visualization tools.
  • Knowledge of Python, SQL, and MATLAB.
  • Experience with Power BI.

Experience: 2-3 years in MIS or Data Analytics field.

Output Requirements:

  • Provide insights and trends from data analysis.
  • Generate forecasts and predictions using historical data.
  • Build and deploy predictive models with machine learning techniques.
  • Recommend business improvements based on data findings.
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