Job Title: Senior Data Analyst
Location: Lagos
Job Description
- The Senior Data Analyst will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that contribute to the strategic decision-making process.
- The successful candidate will collaborate with cross-functional teams to drive data-driven initiatives and contribute to the growth and success of our company.
- Collect, analyze, and interpret large and complex data sets using statistical techniques and data visualization tools to identify trends, patterns, and insights.
- Develop and maintain data models, dashboards, and reports that provide meaningful insights to stakeholders across the organization.
- Collaborate with cross-functional teams, including product development, marketing, and operations, to identify business needs and develop data-driven solutions.
- Design and execute experiments to test hypotheses and validate assumptions, using appropriate statistical methods and tools.
- Provide strategic recommendations based on data analysis, forecasting, and predictive modeling to support business decision-making and drive performance improvement.
- Identify data quality issues, perform data cleansing, and work closely with the data engineering team to ensure data integrity and accuracy.
- Stay updated on industry trends, emerging technologies, and best practices in data analysis and visualization, and apply them to improve data analysis processes and techniques.
- Communicate complex analytical concepts and findings to non-technical stakeholders through clear and compelling visualizations, reports, and presentations.
- Mentor and provide guidance to junior data analysts, fostering a culture of continuous learning and professional growth.
- Ensure compliance with data governance and security policies, and adhere to regulatory requirements related to data privacy and protection.
Requirements
- Candidates should possess a Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s Degree is a plus.
- Minimum of 4 years of experience in a data analyst or similar role, with a proven track record of delivering data-driven insights and solutions.
- Strong proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- Advance data analytics skills using Microsoft Excel.
- In-depth knowledge of statistical analysis methods, predictive modeling, and data mining techniques.
- Experience with data manipulation, data cleaning, and data transformation processes.
- Familiarity with data warehousing concepts, data modeling, and database management systems.
- Excellent analytical and problem-solving skills, with the ability to think strategically and provide actionable insights from complex data sets.
- Strong business acumen, with the ability to understand and translate business requirements into data analysis and reporting solutions.
- Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to work in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.
Start Up Environment:
- Thrives in a fast paced, start-up environment with dynamic business priorities.
Unlocking Potential of Team Members:
- Extensive experience and passion for coaching mentoring a team.
Application Closing Date
Not Specified.
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Job Features
Job Category | Data Analysis |