Techduce Africa is a Software Development Leading Company in Africa. The organization focuses on web-based business tools and information technology, including an office tools suite, Internet of things management platform, and a suite of IT management software. The company provides IT services from subsidiaries like DuceCampaign, DuceHost, DuceBot, DuceCRM, DuceIOfice, DuceStore and DuceDocu
Description
- Responsible for analyzing large sets of data to identify trends, patterns, and insights that can be used to improve business operations.
Responsibilities
- Analysis and manipulation of multiple data sources utilizing Excel; will require the use of VLOOKUP, PIVOT Table, and advanced filtering and sorting techniques.
- Provide high quality finished dashboards, reports, and workbooks.
- Understand key performance metrics and functional goals and ideate data solutions.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Training end-users on new reports and dashboards.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
Qualifications
- Minimum of 2 years experience as a data analyst.
- 2+ years of hands-on experience with big data including Hadoop/Hive and visualization tools such as Tableau, Power BI, Business Objects.
- 2+ experience writing SQL statements, pulling data, combining and performing analytics using query development tools like Toad, SQL Developer, HQL.
- Ability to work with stakeholders to assess potential risks.
- Ability to analyze existing tools and databases and provide solutions and recommendations.
- Ability to translate business requirements into non-technical, lay terms.
- Demonstrated experience in handling large data sets and relational databases
Method of Application
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