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Benel Energy Resources Limited founded in August 2009, is a knowledge-driven organization that provides technical and innovative solutions to the oil and gas ...
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Buybeta Investment Limited is a premier beauty/skin care e-commerce wholesaler and retailer of curated selection of products for all skin type, from top tier ...
POLARIS DIGITECH LIMITED is an efficiently well-run company of professionals set on impacting on the planning and implementation of Rural and Urban Development ...
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eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...
Kuda is a full-service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the ...
Alfred & Victoria Associates is one of Nigeria’s leading ICT solution based company. Our company offers a wide range of services which are in high ...
Ojatee Consulting is my got-to place when it comes to getting the best hands. We have also made hiring process faster with the use of our applicant tracking ...
Winrock International is a nonprofit organization that works with people in the United States and around the world to empower the disadvantaged, increase ...
Rosabon Financial Services Limited is the leading Financial Intermediary and Equipment Leasing firm in Nigeria, a subsidiary of Concept Group Nigeria. Licensed ...
At Credit Wallet we are determined to make financial loans accessible to those who need it most. You can apply for a Credit Wallet loan from the comfort of ...
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.
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.
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
Google Sheets
SQL
Microsoft Excel
SAS
Tableau
R or Python
Jupyter Notebooks
Microsoft Power BI