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  • Posted: May 15, 2024
    Deadline: Not specified
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    Mama Money is an innovative, rapidly growing tech company and the worlds first Social Business Money Transfer Operator. An ethical fintech organisation, with a focus on financial inclusion, we are specifically focused on those who are often excluded and unable to take part in the financial landscape. While Mama Money has all the bells and whistles of a fi...
    Read more about this company

     

    Head Of Data - Cape Town

    As our Head of Data you will:

    • Act as the central point for all queries related to our data and as a key business thought partner for all departments (sales, marketing, customer experience etc.)
    • Work alongside our Product and Development team to lead a cross-functional data team (data analysts / data engineers) and build and deliver on the data roadmap in collaboration with all stakeholders 
    • Serve as the voice of the data, representing both our customers and agents trying to make their life easier 
    • Build an AI first data strategy and implement that strategy
    • Understand the data and knowledge needs across the organisation and work towards fulfilling them. We want to be in a place where everyone has access to the data they need, when they need it
    • Provide interesting data insights on our products performance, focusing on all aspects, from customer acquisition, conversion, retention, commercial performance, user experience, etc
    • Develop, scope and define backlog items that guide both your data team as well as present requests / guidance to the product and the Agile development team. 
    • Solve data-related problems, make decisions and complete trade-off analysis to stay on track towards business deliverable commitments. 
    • Assess value, analysis and dashboard development requirements and oversee the completion of tasks in regard to data analysis, self-service dashboards and data integrations. 
    • Create and enforce policies for effective data management
    • Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
    • Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
    • Support others in the daily use of data systems and ensure adherence to legal and company standards
    • Assist with reports and data extraction when needed
    • Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)
    • Ensure that the necessary elements are in place so that digital databases and archives are protected from security breaches and data losses
    • Troubleshoot data-related problems and authorize maintenance or modifications
    • Evaluate data trends to enable decision making
    • Assist with creating a data driven culture

    About you:

    • Proven experience as Data Manager
    • Deep understanding and experience with AI, BI and Data Analysis methodologies.
    • Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
    • Familiarity with modern database and information system technologies
    • Experience with one or more BI tools (Tableau, Power BI, Qlikview) 
    • An analytical mindset with problem-solving skills
    • Ability to work with cross-functional teams to deliver on a common goal.

    Stakeholder management.

    • Interpersonal skills and developing relationships with team members.
    • Outstanding communication, presentation and leadership skills.
    • Organizational and time management skills.
    • A love for customers and how they interact with our products and services

    It would be a bonus if:

    • You have a technical background / extensive technical exposure.
    • Previously built and AI first data strategy and implemented it.

    go to method of application »

    Senior Data Engineer - Cape Town

    As our Data Engineer you will:

    • Assist in the design, development, deployment, and management of Mama Money's Data Lake and Data Warehouse solution on AWS.
    • Collaborate closely with the DevOps, Development and Data teams, providing data solutions for our migration to microservices.
    • Develop, construct, test, and maintain architectures.
    • Build infrastructure to automate high volumes of data delivery and creatively solving data volume and scaling challenges.
    • Contribute to the design and architecture of innovative solutions.
    • Align architecture with business requirements.
    • Engage in data acquisition and pipelining, including data extraction and transformation.
    • Identify opportunities to improve data reliability, efficiency, and quality.
    • Prepare data for predictive and prescriptive modelling.
    • Use data to discover tasks that can be automated
    • In your first 90 days at Mama Money, you will:
    • Familiarize yourself with our data architecture and understand the scope and impact of your role.
    • Develop an understanding of our business model and operational strategies.
    • Engage with key stakeholders and the data team to get a grasp on ongoing data projects.
    • Begin contributing to the design and architecture of solutions.

    About you:

    • You have exposure to AWS infrastructure with Lambda, Glue, EC2 & EMR.
    • You have 3+ years of experience in a Data Engineering role, building and optimizing data pipelines, architectures and datasets.
    • You have constructed data acquisition, warehousing and reporting solutions.
    • You have extensive SQL knowledge for building optimal data extracts, query optimization.
    • You have Python experience, using it as the main programming language in our data infrastructure and building/maintaining/improving cloud solutions.
    • You have exposure to Terraform as an Infrastructure as Code (IaC) tool.
    • Experience in a Linux environment would be ideal.

    It would be a bonus if you have experience with:

    • Experience with Tableau.
    • Exposure to version control systems.
    • A degree in Computer Science or related field.
    • Experience with dbt and AWS Athena.

    Method of Application

    Use the link(s) below to apply on company website.

     

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