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  • Posted: May 4, 2020
    Deadline: Not specified
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  • We are a digital currency exchange providing trading solutions to users all over; as we lead the journey to an innovative future, one trade at a time.
    Read more about this company

     

    Data Analyst

    Who You Are

    • You are a talented, smart, passionate and experienced/certified Business Data Analyst capable of analysing and interpreting data for business performance across all business lines at the shortest time under little or no supervision.

    What You'll Do

    • Analyse the structure of a business, how it uses technology and what its goals are.
    • Evaluate changes and updates to source production systems.
    • Identify gaps in different processes and implement process improvement initiatives across the business improvement model keeping track of where cost can be better optimized along with the workflow.
    • Coordinate with departments and units to ensure adequate information flow and understanding of overall process improvement direction.
    • Support the data warehouse in identifying and revising reporting requirements
    • Develop, implement, and maintain databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
    • Acquire data from primary or secondary data sources
    • Identify, analyse, and interpret trends or patterns in complex data sets using data tools, platforms and analytics tool kits
    • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
    • Design and supervise the development of management, operational and financial dashboards to track KPIs in liaison with relevant departments.
    • Provide technical expertise on data storage structures, data mining, and data cleansing
    • Assess tests and implementing new or upgraded software and assist with strategic decisions on new systems
    • Generate and analyse reports from single or multiple systems
    • Manage and design the reporting environment, including data sources, security, and metadata
    • Support initiatives for data integrity and normalization.
    • Troubleshoot the reporting database environment and reports
    • Work with management to prioritize business and information needs
    • Provide quality assurance of imported data
    • Process confidential data and information according to guidelines
    • Commissioning and decommissioning of data sets
    • Analyse Chiji14xchange processes and/ or operations in order to improve efficiency and automate where possible
    • Involve in special projects and provide ad hoc / special analysis as required (e.g. revenue recovery efforts, review of business practices)
    • Use historic, current and predictive data to identify growth opportunities, translate complex findings into business terms and communicate to management
    • Develop strategies for analytics to build advanced data visualizations and analytical models
    • Move analytics models from development to production
    • Research best practices, develop implementation plan of operational and cost improvement strategies, assist in seeking, evaluating and implementing new technology.

    What You'll Bring

    • Graduate of Computer Science, Maths or Statistics with relevant certifications Or similar
    • Proven 2 - 3 years working experience as a data analyst or business data analyst
    • Technical expertise regarding data models, database design development, data mining and segmentation techniques
    • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks), and data storage technologies (NoSQL)
    • Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
    • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
    • Adept at queries, report writing and presenting findings
    • Ability to use data visualization tools such as Tableau is a plus
    • Efficient use of data processing tools: R(dplyr, etc.), Python (Numpy, Pandas, etc.), Spark
    • Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique
    • Demonstrable creativity and innovation.
    • Strong analytical and problem-solving capabilities
    • Ability to remain organized, driven, and focused on multiple projects at a time
    • Strong oral and written communication skills
    • Good understanding of current and emerging technologies and their potential to deliver business benefits and knowledge of different project life-cycles and software development approaches.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified candidates should apply using the Apply Now button below.

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