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Data Analyst/Power BI Engineer at Sproxil

SproxilLagos, Nigeria Data and Artificial Intelligence
Full Time
Sproxil uses mobile technology to combat counterfeiting and increase brand equity with innovative, consumer-focused product protection and targeted marketing solutions. Its award-winning Sproxil Defenderâ„¢ technology drives revenue and engages consumers at point of sale through brand assurance, fraud protection, and loyalty rewards. Sproxil Defenderâ„¢ is touted as the most-widely used solution of its kind, deployed by several large companies across ten industries and protecting millions of consumers around the world.

Job Description

  • Collect, clean, and organize data from various internal and external sources.
  • Conduct advanced data analysis to identify trends, patterns, and actionable insights.
  • Develop and maintain interactive dashboards and reports using Power BI and other visualization tools (Excel, Tableau).
  • Work with stakeholders across departments to define key performance indicators (KPIs) and reporting needs.
  • Present findings to management in clear, concise reports or visual formats.
  • Collaborate with IT and business teams to enhance data collection and analysis processes.
  • Maintain data integrity and ensure consistent data quality across systems.
  • Provide cross-time-zone support to teams in Nigeria and India, ensuring data accessibility and timely insights.
  • Support ad-hoc analysis and reporting requests.

Requirements

  • Education: First degree in a related field with a demonstrated ability to work with data, derive insights, and communicate findings effectively. Preferred fields include Statistics, Mathematics, Engineering, Computer Science, Economics, Finance, or any related discipline.
  • Experience: Minimum of 4 years of experience in data analysis or business intelligence.
  • Proficiency in Excel and Power BI. Proficiency in other data visualization tools (SQL Tableau) is an added advantage.
  • Experience with statistical analysis tools (Python, R) is a strong plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to simplify complex data for non-technical stakeholders.
  • Ability to work effectively across time zones and collaborate with international teams.
  • Strong attention to detail and a commitment to data accuracy.

Key Skills:  

  • Advanced data visualization using Power BI, Excel, and Tableau.
  • Proficiency in SQL and Python for data analysis.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication skills, both written and verbal.
  • Cross-team collaboration and remote work experience.

Method of Application

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