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Data Associate

Remote

Job Type

Full time

Applications close

30 January 2024

Who you are

As a data associate, you'll need to: 

  • work closely with clients and colleagues to identify client issues and use data to propose solutions for effective decision making, automation, augmentation, etc. 

  • build and/or assess algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation 

  • use machine learning tools and statistical techniques to solve business problems 

  • test data science, machine learning, and analytical methods and models to select the most appropriate ones for use on a project 

  • maintain clear and coherent communication, both verbal and written, to understand data needs and report results 

  • create clear, well-structured reports and proposals that articulate compelling stories about how clients work with data, using DataDiligence’s frameworks  

  • assess the effectiveness of data sources and data-gathering techniques and recommend improved data collection methods 

  • horizon scan to stay up to date with the latest technology, techniques and methods 

  • conduct research from which you'll recommend proof of concepts, mvp, v1.0, etc for client use/advise 

  • look for opportunities to use insights/datasets/code/models across DataDiligence to continuously improve our business (for example in the HR and marketing departments) 

  • stay insanely curious and enthusiastic about using algorithms to solve business problems and enthuse others to see the benefit of your work. 

  • identify, document and communicate insights, some of which will also be used to create and maintain marketing plans and collateral - including web updates, social media campaigns, industry events, etc. 

 

As you grow with DataDiligence, you will also need to: 

  • recruit, train and lead a team of data associates 

  • contribute to the organisation's overall strategy 

  • establish new systems and processes and look for opportunities to improve the flow of data within DataDiligence 

  • evaluate new and emerging technologies 

  • represent the company at external events and conferences 

  • build and develop relationships with clients.

The skills you have

You'll need to have: 

  • excellent analytical and problem-solving skills 

  • outstanding 'client hands' and relationship building skills, having likely spent time in a consulting role

  • excellent (generalist) data skills – data understanding, data processing, model building, evaluation, and deployment, data infrastructure, data operations, ML operations 

  • hands-on experience with delivering data projects – as a data analyst, data scientists, data engineer, ML engineer, analytical engineer or similar 

  • exceptional communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis 

  • effective listening skills in order to understand client requirements and business problems 

  • drive and the resilience to try new ideas if the first one doesn't work - you'll be expected to work with minimal supervision, so it's important that you're able to motivate yourself 

  • planning, time management and organisational skills 

  • the ability to multitask, deliver under pressure and to tight deadlines 

  • great attention to detail 

  • team working skills and a collaborative approach to sharing ideas and finding solutions. 

Qualifications you'll need

You'll need to have: 

  • excellent analytical and problem-solving skills 

  • outstanding 'client hands' and relationship building skills, having likely spent time in a consulting role

  • excellent (generalist) data skills – data understanding, data processing, model building, evaluation, and deployment, data infrastructure, data operations, ML operations 

  • hands-on experience with delivering data projects – as a data analyst, data scientists, data engineer, ML engineer, analytical engineer or similar 

  • exceptional communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis 

  • effective listening skills in order to understand client requirements and business problems 

  • drive and the resilience to try new ideas if the first one doesn't work - you'll be expected to work with minimal supervision, so it's important that you're able to motivate yourself 

  • planning, time management and organisational skills 

  • the ability to multitask, deliver under pressure and to tight deadlines 

  • great attention to detail 

  • team working skills and a collaborative approach to sharing ideas and finding solutions. 

What to expect

DataDiligence and data science more broadly is highly collaborative. We love to share ideas, insights & methodologies. You will be expected to share concepts and solutions with the team.

Data science embraces ambiguity, iteration, and continuous improvement. As a small business, we work on the same principles.

Our clients are often businesses of size but, don’t necessarily have advanced data capacity in-house. So we frequently play a role of educating people and teams to the benefits of big data and analytics, plus proactively transfer skills – thus working ourselves out of clients.

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