Fully Remote: Data and Analytics Engineer at Careers@VALR #vacancy #remote

Purpose of the job:

As a Data and analytics Engineer, your role will be to take ownership of our custom data transformation pipelines and augment them with additional capabilities to ensure our business operations have access to relevant information for management, insights, and decision-making. You will be responsible for building tooling, dashboards, and reports to support our business teams while contributing to building our technical Data and Analytics capabilities.

What will you be doing:

Data Engineering: 

  • Work closely with the various engineering teams to understand available data sources, structures, and designs and extract and transform data for use in data analytics.
  • Spearhead initiatives to improve the way we work with data.
  • Take ownership of existing tools and processes for data transformation.
  • Review the tools and technologies used and recommend improvements or alternative solutions.

Data Analytics: 

  • Build and maintain dashboards and automated reports, enabling VALR to monitor contracted party performance and risk metrics.
  • Distill data and build reports to empower marketing & growth initiatives.
  • Support the growth team in understanding and monitoring the performance of products and services.
  • Summarise and present insights about the state of the amount of assets on the platform, volumes, deposits and withdrawals.
  • Helping VALR understand our top customers better, developing holistic views of key clients to assist with sales, relationship building and strategy.
  • Creating easy-to-use tools and dashboards to look up customer information and summarise their platform usage over time.

What we look for in you:

  • Strong familiarity with key financial market concepts, and a keen interest in Crypto / Blockchain technologies.
  • Strong technical Data Engineering tools and technology experience, e.g., SQL, Python, APIs, and Big data technologies.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Analyse large amounts of information to find patterns and solutions.
  • Do ad-hoc analysis.
  • Present results in a clear manner.

What can you expect from VALR:

  • Competitive salary: Get paid well to work in an exciting industry.
  • Leave: Compliance with statutory leave required by individual countries, in addition to flexible leave.
  • Remote work: You can work from wherever you like. However, to work effectively remotely, employees must ensure that there is secure, stable internet connectivity.
  • Home office setup: A Mac laptop and a discretionary allowance to buy all the extras needed to work happily from home—all of it yours to keep after three years. Terms and Conditions will apply. 
  • Learning fund: An annual upskilling budget of R20,000 per employee, which will be converted to the respective currency of the employee’s payment, in addition to scheduled VALR training.
  • Performance bonus: When you contribute to VALR’s success, you’ll be rewarded with discretionary bonuses.
  • Regular get-togethers outside of work. 
  • Annual company retreats.

Big data Data Analyst API SQL Python cryptocurrencies Data Engineering Blockchain

Leave a Reply