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Data Analyst

Spurt!

Data Analyst

We are keen on finding a champion for our brand and business who is capable of efficiently and effectively driving data driven growth and processes for us. As a Data Analyst, you will play a crucial role in executing data analysis and data science functions to support our data-driven management and scaling efforts. The ideal candidate will have a strong analytical mindset, proficiency in data analysis and data science techniques, and a passion for leveraging data to drive insights and improve business operations.

This is a great fit for someone who is a self- starter, detail-oriented, a strong team member and a bit of a maverick at growth hacking and business development. If that sounds like you, read on!

  • Our Profile 
  • Spurt! was founded to develop local companies into regional and global giants.
  • We leverage digital and social technologies to trigger and nurture the transformative growth of businesses. Our group's operations are clustered into five operating arms: Solutions, Paperclip, MadeIn!, SpurtX! and S.T.E.P.
  • We aim to be the leader in equitable and sustainable entrepreneurship by empowering and enabling over a billion entrepreneurs to realise their potential and build prosperity in their communities.
  • Our Culture
  • We are a fully remote company and engage individuals in and from any part of the world who are passionate about creatively problem-solving and prosperity building. We work long hours solving hard problems and are intentional about being champions of each other’s growth and well-being.

Data Analyst

  • Key Responsibilities:
  • - Conduct data analysis to extract meaningful insights and trends from various data sources, including HR, productivity, and performance data.
  • - Utilise statistical analysis techniques and data visualisation tools to present data-driven insights and recommendations to stakeholders and management.
  • - Collaborate with cross-functional teams to define and implement data collection strategies, ensuring the accuracy and reliability of data sources.
  • - Design and develop data models and algorithms to support predictive analytics, forecasting, and decision-making processes.
  • - Apply machine learning and data mining techniques to identify patterns, anomalies, and opportunities within HR and productivity data.
  • - Assist in the development and maintenance of data pipelines, ensuring the efficient extraction, transformation, and loading of data from various sources.
  • - Conduct exploratory data analysis and hypothesis testing to uncover key insights and validate assumptions.
  • - Support the development and implementation of data-driven strategies to optimise HR processes, productivity, and employee engagement.
  • - Collaborate with software development teams to integrate data-driven features and functionalities into our HR Tech and productivity solutions.
  • - Stay up to date with the latest advancements in data analysis and data science techniques, tools, and best practices.

Data Analyst

  • Desired Traits: 
  • - Entrepreneurial Mindset: this is a business after all, we need to be building and breaking barriers, that means we don’t just see problems we create profitable solutions 
  • - Dynamism: you need to be adept at adjusting quickly and effectively to new situations 
  • - Integrity: we absolutely need to be able to trust your ability to do what is right, not just what is expedient because we will not be micromanaging you 
  • - Resourceful: this is a start-up environment, you will not always have the help or resources you need, but we hope you will be adaptable and resourceful in driving value creation and problem-solving 
  • - Passionate: we are a lot about what we are building at Spurt! and it’s important for your success that you are passionate too 
  • - Visionary: it is important that you hold the big picture in mind at all times, our mission is quite grand  
  • - Sociable: remote work is hard to do but is made better by people committed to being present, thoughtful, and communicative 
  • Qualifications:
  • - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • - Proven experience in data analysis and/or data science roles, preferably in a startup or tech-driven environment.
  • - Proficiency in data analysis and visualisation tools such as Python, R, SQL, Tableau, or Power BI.
  • - Solid understanding of statistical analysis techniques and machine learning algorithms.
  • - Familiarity with HR systems and processes is a plus.
  • - Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • - Experience with data cleaning, preprocessing, and feature engineering techniques.
  • - Ability to work with large datasets and conduct exploratory data analysis.
  • - Excellent communication skills, with the ability to present complex data findings in a clear and concise manner.
  • - Strong attention to detail and the ability to work independently and collaboratively in a fast-paced startup environment.
  • - Enthusiasm for leveraging data to drive business growth and enhance HR processes.
  •   
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