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Data Analyst Jobs in Lagos, Nigeria (Page 14)

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  • Proten logo

    Data Analyst

    ProtenLagos, Nigeria26 October, 2023

    Proten is an international Human Capital Development firm that offers a wide range of Training, Coaching and Consulting services to individuals, small ...

    Onsite
  • Wakanow logo

    Data Analyst

    WakanowLagos, Nigeria26 October, 2023

    Wakanow.com is Nigeria’s first and leading online travel company that provides customers with everything they need to research, plan and purchase a trip ...

    Onsite
  • MainOne logo

    Data Analyst - Intern

    MainOneLagos, Nigeria19 October, 2023

    MainOne is a leading provider of innovative telecom services and network solutions for businesses in West Africa. Our world-class infrastructure enhances the ...

    Onsite
  • Moniepoint Inc. (Formerly TeamApt Inc.) logo

    Growth Data Analyst

    Moniepoint Inc. (Form..Lagos, Nigeria14 October, 2023

    Moniepoint Inc. is a leading financial technology company that provides a seamless platform for businesses to accept digital payments, access credit and access ...

    Onsite
  • Brand Regimen SFS Limited logo

    Data Analyst

    Brand Regimen SFS Lim..Lagos, Nigeria12 October, 2023

    As an integrated customer focused experiential marketing agency, we provide customer centric marketing solutions that position the Brands/Products/Services we ...

    Onsite
  • Yimei Nigeria Limited logo

    Data Analyst

    Yimei Nigeria LimitedLagos, Nigeria06 October, 2023

    Yimei group is a chain hotel group focusing on the fast-growing African hotel market. Job Description We are looking for a Data Analyst to join our team. You ...

Who is a data analyst?

A data analyst is a professional who retrieves, organizes and analyzes information from various sources to help an organization achieve business goals. Data analysts use logic, statistical techniques and computer programming to turn numbers into information that an organization can use to improve workflow and business processes. 

An important goal of the analysis is to distinguish between what data is important and what data should be given less weight. In many organizations, data analysts are also responsible for data quality and preparing reports for internal and external stakeholders.

What is the role of a data analyst?

  • Developing and implementing databases and data collection systems: Data analysts create and manage databases and data collection systems that efficiently gather relevant information.

  • Identifying critical KPIs and setting priorities: Collaborating with management, data analysts help determine the most crucial Key Performance Indicators (KPIs) and establish priorities for the company.

  • Gathering information from original and secondary sources: Data analysts acquire comprehensive information for analysis by gathering data from various sources, including primary and secondary sources.

  • Sorting and sanitizing data: Prior to analysis, data needs to be organized and cleansed to ensure accuracy and quality.

  • Identifying trends and patterns in large datasets: Data analysts utilize advanced analytical techniques to uncover meaningful trends and patterns hidden within extensive datasets.

  • Creating visual representations of data: Data analysts employ data visualization tools to present insights in a visually appealing and understandable format, enabling stakeholders to easily comprehend complex information.

  • Generating and modifying reports: Data analysts develop reports that summarize their findings, providing actionable insights and recommendations for decision-making purposes. These reports are continually refined and adjusted based on evolving data analysis requirements.

  • Building and maintaining dashboards: Data analysts design and maintain interactive dashboards that offer real-time visualizations of key metrics, allowing stakeholders to monitor performance and make informed decisions.

  • Documenting data models, metrics, and infrastructure: Data analysts document the data models, metrics, and supporting infrastructure they create and maintain to ensure data integrity and facilitate collaboration.

What skills do you need to be a data analyst?

  • Scripting: SQL, Python, and R

  • Data blending: Informatica, Alteryx, and SAS

  • Data visualization: Excel, Tableau, Power BI, D3.js, and ElasticSearch

  • Machine Learning: TensorFlow, Keras, PyTorch, and Pandas

  • Practical database querying

  • Data management

  • Data cleaning

Data analyst tools

  • Google Sheets

  • SQL

  • Microsoft Excel

  • SAS

  • Tableau

  • R or Python

  • Jupyter Notebooks

  • Microsoft Power BI