The demand for 2 Data Analysis jobs in Nigeria
Data Analyst
DAYTONA
Posted 18 days ago
Job Viewed
Job Description
1. To compile & generate Reports in Customer outstandings, Income & expenditures, Monthly & yearly budget, Demurrage calculations, Container deposit refunds, cost analysis & monthly MIS & submit to the Heads.
2. Gathering data from diverse sources like import master systems, ERP system & accomplish data warehousing. br>3. Identifying areas for improvement in logistics accounting, payments, collections & expenses.
4. providing insight to the stake holders on the Expenses, cost savings, recoveries, taxes etc.
5. Working with cross-functional teams, including operations, IT, and management, to implement data-driven solutions.
6. Preparation of monthly MIS, Budget, cash flow, Income & Expenditure statement & submit to the stakeholders.
2. Gathering data from diverse sources like import master systems, ERP system & accomplish data warehousing. br>3. Identifying areas for improvement in logistics accounting, payments, collections & expenses.
4. providing insight to the stake holders on the Expenses, cost savings, recoveries, taxes etc.
5. Working with cross-functional teams, including operations, IT, and management, to implement data-driven solutions.
6. Preparation of monthly MIS, Budget, cash flow, Income & Expenditure statement & submit to the stakeholders.
This advertiser has chosen not to accept applicants from your region.
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Data Analyst (Tableau)
Gudu
EHealth4eveyone
Posted 9 days ago
Job Viewed
Job Description
An experienced Data Analyst with analytical and problem-solving skills. He/she will gather data from various sources and then review and interpret it using data analysis tools to provide meaningful information and insights to help businesses make better-informed decisions
Responsibilities: br>Acquire data from primary or secondary data sources and maintain databases/data systems.
Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Performing data cleaning and analysis to assess and improve the quality and meaning of data
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets can be helpful for the diagnosis and prediction
Analyzing local, national, and global trends that impact both the organization and the industry
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Qualification and Skills:
A degree in data science, computer science, statistics, mathematics, economics or other relevant fields is required.
At least three(3) years of Data Analysis experience using Microsoft Excel, SQL, Power BI, Tableau and Google Sheets. Knowledge of statistical methodologies is an added advantage.
Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.
Strong knowledge of Tableau, SQL, Excel
Excellent numerical and analytical skills are required. He/she must have excellent written, oral, data and graphical communication skills,
Strong math, logic, and statistical skills
Adept at queries, report writing, and presenting findings
Responsibilities: br>Acquire data from primary or secondary data sources and maintain databases/data systems.
Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Performing data cleaning and analysis to assess and improve the quality and meaning of data
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets can be helpful for the diagnosis and prediction
Analyzing local, national, and global trends that impact both the organization and the industry
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Qualification and Skills:
A degree in data science, computer science, statistics, mathematics, economics or other relevant fields is required.
At least three(3) years of Data Analysis experience using Microsoft Excel, SQL, Power BI, Tableau and Google Sheets. Knowledge of statistical methodologies is an added advantage.
Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.
Strong knowledge of Tableau, SQL, Excel
Excellent numerical and analytical skills are required. He/she must have excellent written, oral, data and graphical communication skills,
Strong math, logic, and statistical skills
Adept at queries, report writing, and presenting findings
This advertiser has chosen not to accept applicants from your region.
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