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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