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Data Analyst

@ Thankucash


Remote?

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Contract Typepermanent
Experience Level4Year (s)

More Info:

With the Thankucash app, you earn real cash back every time you purchase a deal or service. They are passionate about building the future, and enabling solutions that build wealth for businesses and consumers across the globe. From providing exciting deals and services like buying airtime and paying utility bills to getting discounts from stores near you, they guarantee that you get so much for just little.

About The Role

They are are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

What do you need to be considered successful?

  • Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets
  • Design, implementation and maintenance of complex data models and data solutions, including conceptual, logical, operational and physical models.
  • Serve as a data custodian to facilitate the resolution of business issues and develop enterprise data models and dictionaries, translating business needs into long-term architecture solutions.
  • Production of technical standards and guidelines for data and associated technologies, whilst assisting in the development of architectural roadmaps and other Enterprise Architecture in the data domain.
  • Providing architectural intervention and technical data leadership throughout the life cycle of development change programmes.
  • Work closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
  • Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
  • Providing technical expertise in data storage structures, data mining, and data cleansing
  • Supports the creation of appropriate data modelling, data management strategies for the relevant business areas
  • Supports the development and promotion of technology usage patterns to provide guidance to business areas in the use of data models
  • Provide advice, guidance and data design input for areas requiring initial support.
  • Provide high level estimates to support the development of business cases, with a view to obtaining initial funding
  • Able to actively participate in the evaluation of new technology packages
  • Collective ownership of the Enterprise Data Models, ensuring that they are maintained in a timely manner
  • Maintains knowledge of relevant technical specialisation at the highest level, by reading appropriate literature, attending conferences and seminars, meeting and maintaining contact with other leading practitioners of the technical specialism and though playing a major role in appropriate learned, professional and trade bodies
  • Challenges business requirements and demands to ensure high quality candidate solutions are created and considered.
  • Maintenance of data models through build and test phases of the development life cycle.
  • Production of documentation that can be used to support the build and test phases.

How important are you to the bottom line?

You will manage the data structure and interpret it into meaningful insights that will help Thankucash make informed decisions.

Biggest problem-solving duties on the job

You will have the daunting challenge of maintaining the data infrastructure in a healthy and highly available state. You will be building robust and scalable data systems that support Thankucash platform.

What do you need to have done in your career?

  • Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
  • 4+ years’ experience mining data as a data analyst
  • Proven analytic skills, including mining, evaluation, analysis, and visualization
  • Practical experience of Data Modelling Concepts and when to employ them
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong SQL or Excel skills with the ability to learn other analytic tools
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  • Experience in handling reporting packages like Business Objects, programmin (Javascript, XML, or ETL frameworks), databases
  • Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
  • Adept at using data processing platforms like Hadoop and Apache Spark
  • Knowledge of data visualization software like Tableau, Qlik
  • Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
  • Problem-solving skills
  • Accuracy and attention to detail
  • Adept at queries, writing reports, and making presentations
  • Team-working skills
  • Verbal and Written communication skills
  • Proven working experience in data analysis


What do you stain to gain?

  • Highly competitive salary
  • Work with the smartest and coolest people while building innovative products and solving problems
  • Flexi-work and paid annual leave days 


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