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Data Analyst at Hazon Holdings

Hazon HoldingsLagos, Nigeria Data and Artificial Intelligence
Full Time
Hazon Holdings is a continually growing and leading conglomerate domiciled in Africa. We specialize in raising standards through our synergy of diverse business units. We are core believers in driving people, processes and businesses to attain peak productivity in given fields through steadfastness and ultimate discipline. Our vision though behemoth, is driven by a hallmark of organizations forecasting on landmark changes in business sectors, positioning itself to exploit opportunities of raising the standard of living in Nigeria through job creation and skill development. We procure and provide workable business solutions ranging from advertising, insurance, commodity trading and investment to consumers, corporations and institutions to everyday challenges by constantly sourcing and creating new unique ways of delivering satisfactory services to our clients.

Responsibilities

  • Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
  • Detect, examine, and decode trends or patterns within intricate datasets.
  • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
  • Coordinate with management to align business and informational priorities.
  • Identify opportunities for process enhancements.
  • Employ statistical techniques to scrutinize data and produce actionable business insights.
  • Develop data dashboards, charts, and visual aids to support decision-making across departments
  • Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.

Skills and Qualifications

  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights.
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
  • A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.

Additional Requirements:

  • Ability to work under pressure and meet tight deadlines.
  • A deep understanding of the industry and business operations is a plus.

Method of Application

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