At a Glance
- Tasks: Drive data governance and create impactful analytics solutions for a modern data ecosystem.
- Company: Join a forward-thinking company focused on data-driven decision making.
- Benefits: Remote work, competitive pay, bonuses, stock options, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Shape analytics strategy and elevate data literacy on a global scale.
- Qualifications: 5+ years in data analytics, strong Power BI skills, and programming experience.
The predicted salary is between 54450 - 66550 £ per year.
Overview
In this role you will help drive Agilents shift to a modern data ecosystem, delivering scalable analytics and actionable insights.
You will partner with cross‑functional teams to translate business needs into data products and dashboards, supporting migration and modernization of analytics capabilities.
You will work with Snowflake, Power BI, and Microsoft Fabric to enable data-driven decision making across Sales, Services, and Marketing.
This is an opportunity to shape analytics strategy and elevate data literacy in a global context.
- Pay / Benefits
- remote work option
- bonus eligibility
- stock
- comprehensive benefits
- competitive pay range
Responsibilities
- Partner with business stakeholders to understand analytical needs and translate them into scalable solutions
- Design and develop dashboards and data products using Power BI and Microsoft Fabric
- Contribute to analytics platform migration and modernization efforts
- Develop and maintain data models leveraging Snowflake
- Define technical requirements and data structures to support analytics use cases
- Apply statistical analysis and visualization techniques to generate actionable insights
- Ensure data quality, consistency, and governance across analytics solutions
- Create and maintain documentation, including dashboard definitions and user training materials
- Collaborate with IT, data engineering, and business teams to align on data architecture and priorities
- Act as a trusted advisor to drive data literacy and adoption of new analytics platforms
- Key requirements
- 5+ years of experience in data analytics, business intelligence, or related roles
- Strong hands-on experience with Microsoft Power BI (data modeling, DAX, dashboards/reports)
- Experience with Microsoft Fabric
- Programming experience (SQL, Python)
- Experience with BI tools like Qlik, Tableau, Spotfire is a plus
- Experience with BI platform migrations to Power BI
- Understanding of enterprise data systems (e. g., SAP, CRM) and data integration concepts
- Strong stakeholder management and global communication skills
- Ability to bridge business requirements and technical implementation
- Experience in cross-functional and transformation-driven environments
- Self-driven, structured, and adaptable to evolving environments
- stakeholder management
- communication
- collaboration
- Microsoft Power BI
- Microsoft Fabric
- SQL
Data Governance & Quality Engineer in Honiton employer: Agilent Technologies
Agilent is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for sales professionals in the scientific field. With a commitment to employee growth, competitive compensation, and a supportive work environment, Agilent empowers its team members to excel in their careers while contributing to meaningful advancements in life sciences. Located in the UK South and Midlands, this role offers the unique opportunity to engage with diverse sectors, ensuring that employees can make a significant impact in their communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance & Quality Engineer in Honiton
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We think you need these skills to ace Data Governance & Quality Engineer in Honiton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Agilent Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Agilent Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Agilent Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
