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Senior Data Analyst at Bluechip Technologies Limited

Bluechip Technologies LimitedRivers, Nigeria Data and Artificial Intelligence
Full Time
BlueChip Technologies is a leading business application firm focused exclusively on assisting organizations in planning, designing, implementing and operating business application solutions and strategies that are central to creating and maintaining a competitive business advantage.

Roles and Responsibilities:

  • Interpret data and analyze results using advanced statistical techniques, generating ongoing reports.
  • Develop and implement robust databases, data collection systems, and data analytics solutions to enhance statistical efficiency and quality.
  • Source, clean, and maintain large datasets from both primary and secondary sources.
  • Identify, analyze, and interpret complex data patterns and trends.
  • Filter and “clean” data, identifying and correcting code problems through detailed review of reports and performance indicators.
  • Collaborate with management to prioritize business and information needs, proposing data-driven solutions.

Key Skills Required:

  • Proficiency in automated data extraction from primary and secondary sources.
  • Expertise in data cleaning, coding error resolution, and database management.
  • Advanced data analysis skills to assess data quality and derive meaningful insights.
  • Strong capability in using statistical tools to identify trends and patterns for predictive analysis.
  • Competence in assigning numerical values to business functions for performance assessment.
  • Experience in preparing management reports highlighting trends, patterns, and actionable insights.
  • Collaboration with programmers, engineers, and management to drive process improvements and system modifications.
  • Preparation of comprehensive final analysis reports to facilitate informed decision-making.

Qualifications:

  • BSc in Mathematics, Economics, Computer Science, Information Management, or Statistics.
  • 6+ years post NYSC experience in data analytics
  • Industry experience can be an edge.
  • Strong proficiency in programming languages like SQL, Oracle, R, MATLAB, and Python.
  • Technical expertise in database design, data mining, and segmentation techniques.
  • Experience with reporting packages (e.g., Business Objects), programming (e.g., JavaScript, XML, ETL frameworks), and statistical packages (e.g., Excel, SPSS, SAS).
  • Proficiency in data processing platforms (e.g., Hadoop, Apache Spark) and visualization software (e.g., Tableau, Qlik).
  • Excellent problem-solving skills, attention to detail, and accuracy.
  • Effective communication, report writing, and presentation skills.
  • Proven experience in data analysis and team collaboration.

Benefits and Perks:

  • Competitive salary package commensurate with experience and qualifications.
  • Comprehensive health, dental, and vision coverage.
  • Retirement savings plans with company matching contributions.
  • Professional development opportunities to enhance your expertise and career growth.
  • A supportive and inclusive work environment that values innovation and encourages creativity.
  • Flexible work hours to promote work-life balance.
  • Modern and well-equipped office space to facilitate productivity.

Method of Application

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