At a Glance
- Tasks: Support sales operations by maintaining data integrity and implementing automation.
- Company: Dynamic company focused on data-driven solutions and innovation.
- Benefits: Immediate start, flexible working arrangements, and opportunities for skill development.
- Other info: Ideal for those who thrive in fast-paced environments and love problem-solving.
- Why this job: Make a real impact by improving processes and enhancing operational efficiency.
- Qualifications: Experience in data operations, CRM platforms, and automation tools.
The predicted salary is between 40000 - 55000 £ per year.
We are seeking a hands-on Data Operations & Automation Consultant to support our sales operations function during a period of planned team absence. This role will focus on maintaining data integrity across HubSpot and related systems while identifying, designing, and implementing automation and process improvements that reduce manual effort and improve scalability.
Key Responsibilities
- Review current analyst workflows and identify opportunities to automate, simplify, or eliminate manual processes
- Build and implement automations and process improvements
- Maintain accurate and reliable sales data across HubSpot, Airtable, NocoDB, and related systems
- Improve data quality by addressing root causes of recurring issues
- Document, test, and hand over all implemented solutions
- Provide recommendations on the future structure and responsibilities of the role
Skills & Experience
- Strong technical background in data operations and automation
- Experience with CRM platforms, ideally HubSpot
- SQL and/or Python skills
- Experience working with APIs and system integrations
- Familiarity with automation tools such as Zapier, Make, or HubSpot Workflows
- Strong AI tool proficiency and ability to leverage AI to improve productivity
- Ability to work independently and deliver results quickly
Desirable
- Commercial analysis experience
- Power BI reporting and dashboard development
This is an excellent opportunity for a pragmatic, delivery-focused consultant who enjoys improving processes, building automations, and creating lasting operational efficiencies.
Data Engineer employer: Practicus
Join a dynamic team that values innovation and efficiency, where your expertise as a Data Engineer will directly contribute to enhancing our sales operations. We offer a collaborative work culture that encourages professional growth through hands-on experience with cutting-edge technologies and automation tools. Located in a vibrant area, our company provides a supportive environment that fosters creativity and rewards initiative, making it an ideal place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Practicus before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Practicus.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Practicus.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Practicus, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Practicus, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Practicus’s attention and show the tangible impact of your work.
How to prepare for a job interview at Practicus
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Practicus.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Practicus.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Practicus.
