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Data Analyst

Summary

Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet. We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.

We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices. We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.

Role Overview

We are seeking a skilled Data Analyst to join the Kuda for Business team. This role requires expertise in mining data from multiple sources to uncover actionable insights, enabling data-driven decisions that enhance our product offering, improve customer experience, and drive the growth of our business banking platform.

You will work closely with cross-functional teams, including product, marketing, and customer success, to ensure that data is at the heart of every decision we make.

Key Responsibilities

Data Analysis and Insights

  • Analyze customer behaviors, merchant activities, and market trends to identify opportunities for growth and improvement.
  • Provide actionable insights to guide product enhancements, acquisition strategies, and customer retention initiatives.
  • Use data to evaluate the effectiveness of features and campaigns, delivering data-driven recommendations.
  • Dashboard Development and Reporting

Dashboard Development and Reporting

  • Develop and maintain automated dashboards and reports to monitor key metrics, ensuring stakeholders have access to timely and accurate data.
  • Present insights to senior management and cross-functional teams to drive alignment and strategy.


Customer Segmentation and Behavioral Analysis

  • Work closely with the marketing team to segment customers and merchants based on behavior, transaction data, and engagement metrics.
  • Support targeted marketing campaigns by providing data-driven segmentation and performance analysis.


Experimentation and Optimization

  • Support A/B testing efforts to evaluate new features, marketing campaigns, and customer engagement strategies.
  • Champion experimentation best practices, ensuring clean and accurate data collection and interpretation.


Data Infrastructure and Integration

  • Collaborate with data engineering teams to enhance the data infrastructure supporting Kuda for Business.
  • Ensure seamless integration of internal and external data sources to maintain a comprehensive data ecosystem.


Privacy and Compliance

  • Support the team in navigating data privacy regulations, ensuring compliance with applicable laws and best practices.

Qualifications and Experience

  • Bachelors degree in Statistics, Data Science, Computer Science, Economics, or a related field.
  • 3 years of experience as a Data Analyst, preferably in fintech, e-commerce, or a growth-focused role.
  • Proficiency in SQL, with experience in data modeling and querying large datasets.
  • Hands-on experience with business intelligence tools (e.g., Looker, Tableau, Power BI.
  • Strong knowledge of metrics such as LTV, CAC, CR%, and churn, with the ability to apply them to a business context.
  • Familiarity with data systems relevant to business growth, such as CRMs, attribution platforms, and analytics stacks.

Nice to Have

  • Experience in African markets and understanding of the SME ecosystem.
  • Knowledge of advanced data analysis techniques, such as predictive modeling and machine learning.
  • Previous experience with Kudas or similar platforms for business banking.

Key Competencies

  • Analytical Mindset: Ability to translate complex data into clear and actionable insights.
  • Technical Expertise: Proficient in SQL and business intelligence tools, with a strong foundation in data modeling.
  • Communication Skills: Clear and concise in presenting data and insights to technical and non-technical audiences.
  • Collaboration: Works effectively across teams, fostering a data-driven culture.
  • Attention to Detail: Ensures accuracy and consistency in data analysis and reporting.


At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:

💜A great and upbeat work environment populated by a multinational team

👴Pension

📈Career development & growth

😁Competitive annual leave plus bank holidays

🎁Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)

💯Group life insurance

💖Medical insurance

🎁Well-fare package (Wedding, Compassionate and etc)

✅Perkbox

🏃‍♀️Goalr - employee wellness app

🥇Award winning L&D training

💒 We are advocates of work-life balance, working in a hybrid in office schedule

Kuda are proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.

We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Data Analyst, Kuda Technologies Ltd

Kuda is on the lookout for a talented Data Analyst to join our dynamic Kuda for Business team! If you're passionate about transforming data into actionable insights that can elevate our financial services for Africans everywhere, then this role is for you. At Kuda, which translates to 'love' in Shona, we're committed to making financial solutions accessible and rewarding. As our Data Analyst, you will dive into customer behaviors and market trends, providing invaluable insights that directly influence our product offerings and customer experience. Your expertise in SQL and business intelligence tools will shine as you develop automated dashboards to keep stakeholders informed and aligned with our core mission. Collaborating closely with product, marketing, and customer success teams, you'll ensure that every strategic decision is anchored in solid data. With your analytical mindset, you'll assess the effectiveness of our features and campaigns, spearheading A/B testing efforts to optimize customer engagement strategies. Plus, you’ll help enhance our data infrastructure, navigating privacy regulations to prioritize compliance. If you have at least three years of experience in a data analyst role, preferably within fintech, and a keen understanding of the African SME ecosystem, we want to hear from you. Join us at Kuda, where people are at the heart of our mission, and let’s drive the future of banking together!

Frequently Asked Questions (FAQs) for Data Analyst Role at Kuda Technologies Ltd
What are the responsibilities of a Data Analyst at Kuda?

As a Data Analyst at Kuda, your primary responsibilities will include analyzing customer behaviors and market trends to identify growth opportunities, developing and maintaining automated dashboards, and collaborating with cross-functional teams to drive data-informed decisions. You'll also work on segmentation for targeted marketing campaigns and support A/B testing efforts to evaluate features and campaigns.

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What qualifications are needed for the Data Analyst position at Kuda?

To qualify for the Data Analyst role at Kuda, candidates should possess a Bachelor's degree in Statistics, Data Science, Computer Science, or a related field, along with three years of relevant experience, ideally in fintech or e-commerce. Proficiency in SQL and business intelligence tools like Looker or Tableau is essential for success in this role.

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How does Kuda support career development for Data Analysts?

Kuda is committed to career development and growth for all employees, including Data Analysts. We offer award-winning learning and development training, a supportive work environment, and opportunities for progression within the company to ensure that you can thrive and expand your skill set.

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What tools will a Data Analyst at Kuda be expected to use?

A Data Analyst at Kuda will utilize SQL for querying large datasets and business intelligence tools such as Looker, Tableau, and Power BI for data visualization and reporting. Familiarity with CRM systems and analytics platforms relevant to our business growth will also be beneficial.

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What is the work culture like at Kuda for Data Analysts?

Kuda fosters an upbeat and inclusive work culture where diversity is celebrated. As a Data Analyst, you will enjoy a hybrid work environment that promotes work-life balance, a wide range of benefits, and a collaborative atmosphere where your insights and contributions are valued.

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Common Interview Questions for Data Analyst
Can you describe your experience with SQL as a Data Analyst?

When discussing your SQL experience, highlight specific projects where you've used SQL to analyze large datasets. Share examples of how you've utilized complex queries to extract insights, and discuss the impact this had on decision-making within your previous roles.

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How do you ensure the accuracy of your data analysis?

To ensure accuracy, I employ systematic data validation techniques and cross-reference findings against multiple data sources. It's vital to document processes and maintain transparency with the team to uphold data integrity throughout our projects.

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Share an example of a successful A/B test you conducted.

I once facilitated an A/B test for a new feature rollout, where I meticulously tracked user engagement across two groups. The analysis revealed a significant improvement in user retention due to the feature, leading to its successful implementation and a positive impact on customer satisfaction.

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How do you approach collaboration with non-technical teams?

I focus on breaking down complex data into simple, understandable insights when working with non-technical teams. Utilizing clear visuals and storytelling helps me communicate essential findings effectively, ensuring alignment and collaborative decision-making.

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What methods do you use for customer segmentation analysis?

I typically combine demographic data, transaction history, and engagement metrics to create customer segments. Using analytical tools, I analyze behavior patterns to develop targeted strategies that resonate with each segment, enhancing marketing efforts.

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Describe a time when your analysis led to a significant impact on the business.

In my previous role, my analysis identified a niche customer segment that had been overlooked. By presenting my findings to the marketing team, we developed a targeted campaign that resulted in a 25% increase in customer acquisition in that segment within a quarter.

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What business intelligence tools are you proficient in?

I am proficient in tools like Tableau and Power BI, where I've created interactive dashboards and data visualizations. My proficiency allows me to present data in a way that drives actionable insights for stakeholders across various departments.

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How do you prioritize your tasks as a Data Analyst?

I prioritize tasks based on their impact on business outcomes and deadlines. I regularly communicate with team members to ensure alignment on priorities and adapt to any shifts in business needs, ensuring we focus on the most critical analyses.

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How do you stay updated on trends in data analysis and fintech?

I stay informed by following industry publications, participating in webinars, and engaging with professional communities. Continuous learning through online courses also allows me to expand my skillset and apply innovative techniques to my analysis.

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What is your approach to handling non-compliance issues in data analysis?

Maintaining compliance is crucial; I always adhere to data privacy regulations and best practices. If a non-compliance issue arises, I address it promptly by collaborating with relevant teams to implement corrective measures and ensure that our policies and processes are updated accordingly.

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Kuda is a fintech company on a mission to make financial services more accessible, affordable and rewarding for every African on the planet.We've built the money app for Africans around the world, giving them a better alternative to traditional fi...

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Full-time, hybrid
DATE POSTED
December 12, 2024

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