Python Data Analyst at Careers Verified

At Careers Verified, we go beyond narrowly defined client’s issues, we create opportunities for our clients, candidates, colleagues, collaborators, and the community. Through a network of diversified but highly complementary line of business, we help organizations find critical talent, access cutting-edge advice and get the innovative support they require to grow in a challenging market. We partner with businesses and organizations of varying size and structure across diverse sectors, such as Oil and Gas, Engineering, Finance, Telecom, FMCG, Legal, Technology, Healthcare, Travel and Aviation etc. to enhance business performance and to optimize for growth to achieve exceptional results. What sets us apart is the depth of our capabilities, creative problem solving approach and proven track record in our practice area combined with in-depth knowledge of the realities of the industries we serve.

We are recruiting to fill the position below:

Job Title: Python Data Analyst

Location: Abuja (FCT)
Employment Type: Full-time

Job Summary

• We are seeking a highly skilled Python Data Analyst to join our team.
• In this role, you will leverage your expertise in Python, data analysis, and visualization to extract actionable insights from large datasets.
• Your work will directly impact our decision-making processes and strategic initiatives.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and maintain Python scripts to automate data processing and reporting.
• Create visualizations and dashboards using libraries like Matplotlib, Seaborn, or Plotly to communicate insights.
• Collaborate with cross-functional teams to define data requirements and deliver analytical solutions.
• Perform statistical analyses to support decision-making and forecast trends.
• Ensure the quality and integrity of datasets by implementing robust validation processes.

Qualifications
Required Skills:

• Degree in Computer Science, Statistics, Data Science, or a related field with 3 years work experience.
• Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Strong understanding of SQL and database management systems.
• Knowledge of statistical methods and data modeling techniques.
• Familiarity with ETL (Extract, Transform, Load) processes.
• Excellent problem-solving and analytical skills.
• Effective communication skills to present findings to both technical and non-technical stakeholders.

Preferred Skills:

• Experience with big data technologies (e.g., Spark, Hadoop) or cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of machine learning algorithms and frameworks.
• Familiarity with BI tools like Tableau, Power BI, or Looker.

Application Closing Date
24th February, 2025.