Head of Data and Analytics

2 weeks ago

Umhlanga, South Africa iKhokha Full time

Company Description

iKhokha is one of the fastest-growing fintech companies in Africa. As you'd expect, our pace is fast-moving and ever-changing. We like it that way.

Our office is a high performance environment where we push each other to challenge the status quo. If that doesn’t appeal to you, you probably shouldn’t work here.

**Job Description**:
We are searching for a **Head of Data and Analytics**.

This is a senior role within our tribe, and we are seeking someone who understands the overall strategy and direction of the business. This position will have a deep focus on how to underpin the strategy with data and infuse that thinking and strategic data vision into all parts of the business and business projects.

**So, what will you do?**

You will be responsible for developing and governing our data and information strategy to drive business decisions and growth.

You will develop data procedures and policies, and work closely with various departments to collect, prepare, organize, protect, and analyse data assets while ensuring that the company meets industry best practices.

This role will also include leading inter-disciplinary teams, improving and streamlining data systems within the company, and driving innovation.

**Deal Breakers**:

- 10+ years of experience in Decision Sciences, Advanced Analytics, Quantitative modelling or statistical /machine learning; 5+ in a managerial capacity.
- Proven track record in data management, leadership, and information technology systems and tools. A strong background in IT, business, and mathematics is advantageous.
- Strong leadership and communication skills.
- Project management skills.
- Analytically minded.
- Professionalism and ethical behaviour.

**Additional experience and knowledge in the below**:

- Thorough understanding of the business and data strategy’s that other financial services and fintech businesses use and how they could be applied in the iKhokha landscape.
- Have a good technical platform understanding to be able to advise on data platform tools and integrations to unlock key data capabilities and functionalities in the business.
- Inform easy ways in which to extract meaningful, real time insights from the data lake for the business to utilize on a daily basis.
- Experience designing and implementing machine learning pipelines in production environments.
- Experience with one or more general-purpose programming languages, including but not limited to: Scala, Python and SnowPark.
- Excellent understanding of machine learning techniques and algorithms such as logistic regression, linear regression, k-NN, naive Bayes, SVM, random forest, etc.
- Proven ability to perform statistical analysis and experience with tools such as SAS, R, and equivalent.
- Experience with cloud computing services such as AWS.
- Experience presenting insights to executives and nontechnical audiences about product analytics data.
- Ability to keep up to date with cutting-edge machine learning/big data methods and techniques.
- Designing and implementing data strategies and systems.
- Lead, motivate, and manage large data and technical teams/projects.
- Overseeing the collection, storage, management, quality, monitoring, recon and protection of data.
- Implementing data privacy policies and complying with data protection regulations in banking in financial services.
- Effectively communicate the status, value, and importance of data collection to executive members and staff and propose proactively where the business could be better and how to get there.

**What would you be responsible for?**
- The person will oversee the collection, management, and storage of data across iKhokha. They will be responsible for ensuring the data team and projects in the business are analyzing and deriving insights from the varying sources of iKhokha data to inform business strategy and value from operational levels right through to strategic decision-making levels.
- The person will be responsible for syncing data across all operational platforms within the business.
- Oversee planning and execution of self-service analytics data infrastructure using Tableau.
- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
- Partner with senior business and technology leaders to develop data-driven business strategy.

**Qualifications**:

- Degree in Engineering, Mathematics, Economics, Statistics or another quantitative field. Masters or PhD preferred.

Additional Information
**Perks of joining the Tribe?**
- You get to work in a high growth company. Sink your teeth into meaningful work with tangible results you are accountable for.
- Hybrid, remote and in office work models.
- Remuneration & Benefits. We offer Company contributions to Medical Aid and a Group Risk Scheme.
- Visionary Leadership.
- Study leave.
- Access to on demand learning and development.
- A friendly, collaborative culture and a team of all-round-lekker humans

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