At a Glance
- Tasks: Join our team to develop Python code, build dashboards, and automate data processes.
- Company: Brightmine, a leading provider of people data and analytics for the HR sector.
- Benefits: Generous holiday allowance, health benefits, and extensive learning resources.
- Why this job: Gain hands-on experience in data engineering and make a real impact in a supportive environment.
- Qualifications: Knowledge of Python, SQL, and interest in data analytics or automation.
- Other info: Dynamic team culture with opportunities for growth and collaboration.
The predicted salary is between 30000 - 42000 £ per year.
Contract Type: Fixed Term Contract (Fixed Term)
Schedule: 35
Location: UK - London (Bishopsgate)
About the Business: With more than 10,000 global customers, Brightmine, formerly XpertHR, is a leading provider of people data, analytics and insight for the HR sector. We help HR leaders confidently navigate the evolving world of work through our unique combination of critical workforce data, AI-enabled technology and trusted HR expertise. At the same time, we are creating an inclusive, people-focused environment of our own. A culture where individuals with ambition, curiosity and ideas can make an impact. Where you can think big, aim high and explore more.
About the team: We are the data operations team, working with global reward data and comprising a mixture of data analysts, reward specialists and data delivery specialists. We are a team of 6.
About the role: We are looking for a Data Analyst / Junior Data Engineer to join our Data Operations team. This is a development role, ideal for someone early in their data or software career who wants hands-on experience improving Python code, working with Azure Databricks, building dashboards and automating operational processes.
Responsibilities
- Python and data development: You will be responsible for reviewing, fixing, and maintaining existing Python codebases to ensure optimal performance and reliability. In addition, you will write clean, well-documented Python code that adheres to best practices and supports scalability. The role also involves contributing to the development of data pipelines and scripts within Azure Databricks, enabling efficient data processing and integration across systems.
- Dashboards, analysis and reporting: You will help build and maintain dashboards using Databricks SQL, notebooks, and Power BI to deliver clear and actionable insights. The role involves learning how to translate business requirements into accurate and meaningful reports that support decision-making. Additionally, you will validate data quality and investigate any discrepancies to ensure reliability and consistency across all outputs.
- Automation and operations: You will assist in automating recurring data and administrative tasks to improve efficiency and reduce manual effort. The role includes learning how to streamline processes and minimise operational risk through automation. Additionally, you will support the monitoring and troubleshooting of data to ensure accuracy and reliability across systems.
- Growth and support: You will learn best practices for Git, testing, documentation, and deployment to ensure high-quality and maintainable code. In addition, you will take ownership of small projects, gaining hands-on experience in managing tasks from start to finish and delivering reliable solutions.
- Workload Management: Effectively prioritise and manage your workload.
Requirements
- Knowledge of and experience working with Python (coursework, internship or commercial).
- Intermediate understanding of SQL.
- Interest in data engineering, analytics or automation.
- Comfortable working independently and with guidance.
- Experience of working in Azure, Databricks or other cloud-based platforms.
- Experience of building dashboards in Power BI.
- Experience building dashboards or reports.
- Familiarity with Git or version control.
- Background in data analysis, STEM or computer science.
This is a developmental role suited to someone looking to build experience in data-focused service delivery, working closely with colleagues across multiple teams.
Working for you
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye-care vouchers and private medical benefits.
- Life Assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discount scheme via Perks at Work.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Associate Analytics Engineer employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Brightmine. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, dashboards, or any data analysis work you've done. This gives you a chance to demonstrate your abilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python knowledge. Be ready to discuss how you’ve used these skills in real-world scenarios. Practice common interview questions related to data engineering and analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Brightmine team.
We think you need these skills to ace Associate Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Associate Analytics Engineer role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in data engineering and analytics.
Show Your Passion for Data: Let us know why you're excited about working in data! Share any personal projects or experiences that demonstrate your interest in data engineering, analytics, or automation. We love seeing enthusiasm!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We want to understand your skills and experiences without having to decipher complex sentences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python codebases, and maybe even prepare to solve a coding challenge on the spot. Highlight any projects where you've optimised or maintained code, as this will show your hands-on experience.
✨Get Familiar with Azure Databricks
Since the role involves working with Azure Databricks, it’s crucial to understand its functionalities. Do some research on how data pipelines work in Databricks and be prepared to discuss how you would approach building one. This shows your enthusiasm for the tools they use.
✨Dashboards Are Your Best Friend
You’ll likely be asked about your experience with dashboards, especially in Power BI. Prepare examples of dashboards you've built or worked on, and be ready to explain how they provided insights. If you can, bring a portfolio or screenshots to showcase your work.
✨Show Your Problem-Solving Skills
The role requires automating processes and troubleshooting data discrepancies. Think of specific instances where you identified a problem and implemented a solution. This could be anything from streamlining a process to fixing a bug in your code. Sharing these stories will demonstrate your analytical mindset.