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Data Analyst

at Bond Personnel (view profile)
Location Dublin, Ireland
Date Posted May 28, 2021
Category Information Technology
Job Type Permanent (Full-time)
Salary Range Negotiable

Description

Data Analyst required with 3+ years experience for a rapidly expanding Dublin based Data Analytics Company, (Experience of SQL and ideally DBT required) Work remotely or in office

Successful applicants for a data analyst role will receive a full-time permanent offer, with a competitive salary, equity options, and flexibility to allow working remotely or at home.

What they do

Our client helps businesses to connect and use their data in a way that drives performance.

They identify what data can make the biggest impact for a company, transform it quickly and cost-effectively from a wide range of sources through their own platform, and ultimately make it clear, reliable and easy to manage.

Our clients head office is based in Dublin, located in Clonskeagh near the UCD campus. They also have data analysts and sales teams in London. However, as a remote-first company, location is not an issue, and they also have staff based in Spain and Australia amongst others!

Working at our client

Our client is  always reaching for the latest approaches, tools and technology to enable them to move fast. But they are more than just data analysis machines. They’re also a pretty sociable bunch, they love to pose a weekly companywide question and see whose brains are looking brawniest, as well as learn from each other’s expertise with weekly knowledge shares, not to mention a cheeky Friday pub session (when it’s not a global pandemic)!

 Being a Data Analyst for our client

This role puts you on the front lines of the solutions they implement for their customers, where you can expect to:

  • Delve deeply into a customer’s business to understand its subtleties and how data can be put to use in their business to aid decision making and unlock value.
  • Develop critical workflows for transforming, visualising, and extracting value from data.
  • Work closely with their engineering team to integrate data into stable, extensible pipelines.
  • Cultivate your domain expertise to identify, access and analyse relevant data sources.
  • Contribute to our clients expanding knowledge base into the art and application of analytics.
  • Create machine learning and predictive modelling use cases with our client’s data science team.

Our client is building a diverse team and hiring data analysts with a range of complementary skills and experience. Applicants will have to have at least some of the following in their background, a degree in a quantitative field, with preference for Maths, Physics, Engineering, Economics and/or Computer Science degrees.

  • Professional experience in data analytics, data viz and customer-facing roles.
  • Proficiency with SQL, and even better DBT.
  • Experience with version control systems like git.
  • Experience with scripting languages like Python or R for statistical analysis.

Successful applicants for a data analyst role will receive a full-time permanent offer, with a competitive salary, equity options, and flexibility to allow working remotely or at home.

They value

Curiosity – They NEED to know about their customers’ businesses, what makes the businesses tick and what will make it better. Our client continuously sharpen their skills and keep up to date with the latest approaches to analytics.

Collaboration – Yes they as a team have degrees and PHDs, and they have done amazing things with data, but when you join our client, they check all ego’s at the door. This is because, as individuals, we don’t have all the answers. The excellence of our team is shaped from multiple points of view and backgrounds working collaboratively. At the same time we are equally at home working independently – sometimes we need to take ownership.

Trustworthiness –Our client are trusted to produce accurate insights from commercially sensitive data sets. We must employ analytical rigor and quantitative reasoning skills.

Nimbleness – They need to flex when their client’s business, customers or market changes!

Clarity – They must simplify complexity and explain value points to time poor, inexpert stakeholders. They have a passion for communicating ideas with data and technology.