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Data Analyst Jobs in Rivers, Nigeria

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  • Pack'N'Pay logo

    Data Analyst

    Pack'N'PayRivers, Nigeria15 October

    Pack ‘N’ Pay is a product of CIC Integrated Services LTD. CIC was created as a wholesale store that supplies food to offshore catering companies to feed ...

    Onsite
  • Bluechip Technologies Limited logo

    Senior Data Analyst

    Bluechip Technologies..Rivers, Nigeria19 June

    BlueChip Technologies is a leading business application firm focused exclusively on assisting organizations in planning, designing, implementing and operating ...

    Onsite
  • Sarabel Logistics and Security Services Limited logo

    Data Collector/Data Analyst

    Sarabel Logistics and..Lagos, Rivers, Nigeria09 January

    Sarabel Logistics and Security Services Limited is a security company with a reputation of providing effective security solutions and the use of innovative ...

    Onsite
  • Rosetti Pivot Limited logo

    Data Analyst

    Rosetti Pivot LimitedLagos, Rivers, Nigeria18 December, 2023

    Rosetti Pivot Ltd offers world class services through local design, fabrication, manufacture and supply of platforms and systems for the oil & gas ...

    Onsite

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