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Analytics engineer

Thames Ditton
SHL
Engineer
Posted: 26 November
Offer description

Job Description Find purpose in each day while contributing to a workplace revolution! SHL, People Science. People Answers.

Are you a seasoned Analytics Engineer, with knowledge of how to translate business needs into technical data requirements and the aptitude to do root-cause analysis to test and troubleshoot data solutions to support business users? You’ll need good coding experience in SQL/Python/R or any other pipeline language to produce high quality ETL/ELT flows and ideally some knowledge of data management and governance. We are hiring for an Analytics Engineer to build, test and deploy, advanced analytical models and visualisations to provide insights while producing scalable data products.


A great benefits package is offered in a culture where career development, with ongoing manager guidance, collaboration, flexibility, diversity and inclusivity are all intrinsic to our culture. There is a huge investment in SHL currently so there’s no better time to become a part of something transformational. Hybrid working is available.

What you will be doing:
1. Take ownership of building, testing and deploying advanced analytical models and visualisations to provide insights while producing scalable data products.
2. Work with internal stakeholders to assess, refine and prioritise analytics use cases and requirements and translate into technical model specifications, including: the pricing team, finance team and, commercial team.
3. Assess SHL’s existing data landscape and leverage it to develop semantic layers and reports and evolve our reporting landscape in line with our business strategy.
4. Collaborate with the Business Intelligence team to improve the data landscape and enable faster, more accurate insights through improved data products
5. Build robust end-to-end data products based on strategic semantic layers, balancing speed of delivery and the need for scalable and reliable data engineering
6. Promote optimum practices in data engineering and aid a culture of high-quality, reliable data across the organisation


What we are looking for from you:
Essential:
7. Can translate business needs into technical data requirements and explain to users
8. SQL/Python/R or any other pipeline language to produce ETL/ELT flows
9. Root-cause analysis to test and troubleshoot data solutions using methodical approach
10. Good awareness of data management and governance
Desirable:
11. Machine Learning and statistics
12. Experience in agile delivery

The candidate must have the right to work in the UK
Get in touch:

Find out how this one-off opportunity can help you to achieve your career goals by making an application to our knowledgeable Talent Acquisition team. Choose a new path with SHL.

#LifeAtSHL #CareersAtSHL #SHLHiringTalent #HybridRole #LinkedInJobs #LI-hybrid
#DataAnalyticsJobs #DataJobs #AnalyticsJobs #DataEngineerJobs
#CareerOpportunities #JobOpportunities 

About Us
13. We unlock the possibilities of businesses through the power of people, science and technology.
14. We started this industry of people insight more than 40 years ago and continue to lead the market with powerhouse product launches, ground-breaking science and business transformation.
15. When you inspire and transform people’s lives, you will experience the greatest business outcomes possible. SHL’s products insights, experiences, and services can help achieve growth at scale.
What SHL can offer you

Diversity, equity, inclusion and accessibility are key threads in the fabric of SHL’s business and culture (find out more about )

16. Employee benefits package that takes care of you and your family.
17. Support, coaching, and on-the-job development to achieve career success
18. A fun and flexible workplace where you’ll be inspired to do your best work (find out more )
19. The ability to transform workplaces around the world for others.

SHL is an equal opportunity employer. We support and encourage applications from a diverse range of candidates. We can, and do make adjustments to make sure our recruitment process is as inclusive as possible.

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