Senior Data Analyst

Lagos - Nigeria

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Design develop and maintain scalable data models and pipelines using SQL and Google BigQuery
Manage data warehousing best practices within the Google Cloud Platform (GCP) environment to ensure scalability and cost efficiency
Extract clean and transform large datasets from multiple sources within the Google Cloud Platform (GCP) ecosystem
Perform advanced data analysis using Python (e.g. Pandas NumPy SciPy)
Build automated data workflows for advanced data manipulation statistical analysis and reporting systems using Python based automation
Build automated data pipelines to eliminate manual data handling and ensure real time insight delivery.
Execute end-to-end data science projects: including data cleaning feature engineering machine learning model selection and post deployment monitoring
Develop interactive dashboards and reports using Looker Studio to support business stakeholders
Utilize Python based visualization libraries (Matplotlib Seaborn Plotly) for deep-dive exploratory data analysis (EDA) to deliver insights that drive business performance.
Collaborate with cross functional teams to define data requirements
Ensure data quality integrity and governance across all analytics processes
Mentor junior analysts and promote best practices in data analytics and reporting
Communicate findings clearly through storytelling visualization and presentations to senior stakeholders

Bachelors or Masters degree in Data Science Statistics Computer Science Mathematics or related field
Minimum of 5 years of experience in data analytics or a similar role
Strong proficiency in SQL (complex queries optimization data modeling)
Hands on experience with Google BigQuery and the GCP ecosystem
Advanced proficiency in Python for data analytics and automation
Experience building dashboards using Looker Studio (or similar BI tools)
Solid understanding of data warehousing concepts and ETL processes
Experience in end-to-end data science (model building evaluation deployment)
Experience with machine learning frameworks (e.g. Scikit-learn TensorFlow)
Knowledge of cloud based data pipelines and orchestration tools (e.g. Airflow)
Familiarity with version control systems (e.g. Git)
Experience working in Agile environments
Exposure to data governance and security best practices
Strong analytical thinking and problem solving skills
Strong leadership skills with the ability to guide inspire and manage a team effectively.
Excellent communication and interpersonal skills
Ability to drive performance and ensure accountability
Ability to interpret large datasets and present clear concise insights to stakeholders
High level of professionalism and data integrity
Work Type: Hybrid (4 days onsite & 1 day remote)

Required Experience:

Senior IC

Design develop and maintain scalable data models and pipelines using SQL and Google BigQueryManage data warehousing best practices within the Google Cloud Platform (GCP) environment to ensure scalability and cost efficiencyExtract clean and transform large datasets from multiple sources within the G...

Design develop and maintain scalable data models and pipelines using SQL and Google BigQuery
Manage data warehousing best practices within the Google Cloud Platform (GCP) environment to ensure scalability and cost efficiency
Extract clean and transform large datasets from multiple sources within the Google Cloud Platform (GCP) ecosystem
Perform advanced data analysis using Python (e.g. Pandas NumPy SciPy)
Build automated data workflows for advanced data manipulation statistical analysis and reporting systems using Python based automation
Build automated data pipelines to eliminate manual data handling and ensure real time insight delivery.
Execute end-to-end data science projects: including data cleaning feature engineering machine learning model selection and post deployment monitoring
Develop interactive dashboards and reports using Looker Studio to support business stakeholders
Utilize Python based visualization libraries (Matplotlib Seaborn Plotly) for deep-dive exploratory data analysis (EDA) to deliver insights that drive business performance.
Collaborate with cross functional teams to define data requirements
Ensure data quality integrity and governance across all analytics processes
Mentor junior analysts and promote best practices in data analytics and reporting
Communicate findings clearly through storytelling visualization and presentations to senior stakeholders

Bachelors or Masters degree in Data Science Statistics Computer Science Mathematics or related field
Minimum of 5 years of experience in data analytics or a similar role
Strong proficiency in SQL (complex queries optimization data modeling)
Hands on experience with Google BigQuery and the GCP ecosystem
Advanced proficiency in Python for data analytics and automation
Experience building dashboards using Looker Studio (or similar BI tools)
Solid understanding of data warehousing concepts and ETL processes
Experience in end-to-end data science (model building evaluation deployment)
Experience with machine learning frameworks (e.g. Scikit-learn TensorFlow)
Knowledge of cloud based data pipelines and orchestration tools (e.g. Airflow)
Familiarity with version control systems (e.g. Git)
Experience working in Agile environments
Exposure to data governance and security best practices
Strong analytical thinking and problem solving skills
Strong leadership skills with the ability to guide inspire and manage a team effectively.
Excellent communication and interpersonal skills
Ability to drive performance and ensure accountability
Ability to interpret large datasets and present clear concise insights to stakeholders
High level of professionalism and data integrity
Work Type: Hybrid (4 days onsite & 1 day remote)