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Agriculture, fishing, forestry Jobs in Nigeria
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Babban Gona Farmer Services
CLOSEDSenior Data Analyst
Lagos, Nigeria
Tomato Jos Farming and Processing Limited
CLOSEDFinancial Analyst
Lagos, Nigeria
Babban Gona Farmer Services
CLOSEDInvestor Relations Analyst
Lagos, Nigeria
PULA
CLOSEDManager / Senior Manager / Director - Commercial Sales (B2B & B2G)
Abuja, Nigeria
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Jubaili Agrotec Limited
CLOSEDDemand Planning Analyst
Abuja, Nigeria
Closing: Apr 12, 2024
This position has expiredPublished: Mar 28, 2024 (2 months ago)
Job Requirements
Education:
Work experience:
Language skills:
Job Summary
Contract Type:
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Requirements
- Experience in Business Intelligence and Data Analytics
- Bachelor's Degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.
- 3 - 5 years of related experience in a Business Intelligence or Data Analytics role:
- Experience using data analytics tools such as Power BI and/or Tableau
- Experience with languages such as Python, SQL, etc.
- Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
- Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)
- Demonstrated ability to interpret data to derive business insights
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
Other requirements:
- Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.
- High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.
- Strong knowledge of predictive modelling and machine learning algorithms/concepts.
- Strong problem solving, good judgement, strategic and multidimensional thinker
- Strong ability to plan and manage numerous processes, people and projects simultaneously.
- Excellent communication, collaboration and delegation skills.
- Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share
- Proven ability to leverage technology to translate business requirements
- Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals
Start Up Environment:
-
Thrives in a fast paced, start-up environment with dynamic business priorities.
Responsibilities
Requirements
- Experience in Business Intelligence and Data Analytics
- Bachelor's Degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.
- 3 - 5 years of related experience in a Business Intelligence or Data Analytics role:
- Experience using data analytics tools such as Power BI and/or Tableau
- Experience with languages such as Python, SQL, etc.
- Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
- Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)
- Demonstrated ability to interpret data to derive business insights
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
Other requirements:
- Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.
- High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.
- Strong knowledge of predictive modelling and machine learning algorithms/concepts.
- Strong problem solving, good judgement, strategic and multidimensional thinker
- Strong ability to plan and manage numerous processes, people and projects simultaneously.
- Excellent communication, collaboration and delegation skills.
- Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share
- Proven ability to leverage technology to translate business requirements
- Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals
Start Up Environment:
-
Thrives in a fast paced, start-up environment with dynamic business priorities.
Job Description
Business Intelligence and Data Analytics:
- Work with key stakeholders and team members to identify strategic and tactical business needs, and align appropriate data driven solutions to them.
- Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
- Partner with required team members to design and build targeted dashboards/reports and predictive models, to represent operational data in brief and intelligible format suitable for the target audience.
- Develop scalable and recurring processes and reporting to support the organizational business needs.
- Support and/or lead communication with subject matter experts across multiple departments and levels of leadership to define BI requirements and strategy.
- Support the administration of business intelligence application including software maintenance, new user setup, and best practices across user and data governance.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Play a critical role in leading Monitoring and Evaluation activities; data collection, planning and implementation of monitoring and evaluation tools that support MEL at an organizational and programmatic level.
- Other responsibilities and tasks required to support organizational goals and objectives
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