At a Glance
- Tasks: Manage data quality and support sales teams with insightful reports and streamlined workflows.
- Company: Exciting tech business in Manchester with a focus on growth and innovation.
- Benefits: Salary up to £55,000, hybrid working, and plenty of autonomy.
- Other info: Opportunity for career growth in a modern tech environment.
- Why this job: Join a dynamic team and make a real impact on commercial success.
- Qualifications: Experience in data analytics, CRM platforms, and effective communication skills.
The predicted salary is between 55000 - 55000 £ per year.
We're partnered with an exciting tech business in Manchester that's growing quickly and looking to bring in a GTM Systems Engineer to support its commercial teams. This role sits at the intersection of data, systems and sales, making sure the business has the right information, processes and tools in place to help teams perform at their best. You'll work closely with sales and commercial stakeholders, helping to improve reporting, streamline workflows and maintain the quality of data across the business. If you're someone who enjoys solving problems, getting stuck into data and finding smarter ways of working, this could be a great fit.
What You'll Be Doing:
- Managing and improving data quality across CRM and GTM platforms
- Supporting data cleansing, enrichment and ongoing database maintenance
- Building reports and dashboards that help commercial teams make informed decisions
- Working closely with sales teams to understand challenges and improve processes
- Supporting lead management, routing and sales workflows
- Collaborating with both technical and non-technical teams to improve systems and efficiency
- Identifying opportunities to automate manual tasks and remove bottlenecks
- Helping ensure commercial teams have access to accurate, reliable and actionable data
About You:
We're open to people coming from a range of backgrounds, including: Sales Operations, Revenue Operations, Commercial Analytics, Data Analytics, CRM Administration, Business Intelligence.
You'll ideally have experience with:
- Clay, Lusha, ZoomInfo, Apollo or similar
- Excel
- SQL
- Power BI
- Salesforce or another CRM platform
- Supporting sales, commercial or customer-facing teams
- Building reports, dashboards and insights from data
- Improving processes and driving efficiencies
- Communicating effectively with a mix of technical and non-technical stakeholders
Most importantly, you'll be naturally curious, proactive and enjoy finding better ways of doing things.
What's In It For You?
- Salary up to £55,000
- Hybrid 2-3 days a week in office and flexible working
- Manchester City Centre office location
- Opportunity to join a growing tech business at an exciting stage
- Plenty of ownership and autonomy from day one
- Exposure to modern GTM tools, systems and processes
- Straightforward two-stage interview process
Please note: Unfortunately, sponsorship cannot be provided for this role. Applicants outside of the Northwest will not be considered if you are based in London do not apply.
Locations
GTM Systems Engineer in Cheshire, Warrington employer: We Are Fr Group
Join a multi award-winning digital agency located near St Helens, where innovation meets collaboration in a vibrant work culture. With a hybrid working model and a competitive salary range of £30-£40k, this company not only values employee growth through continuous learning opportunities but also fosters a supportive environment that celebrates achievements and encourages creativity. Be part of a team that is driving impressive growth and securing high-profile accounts, making your contributions truly impactful.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Systems Engineer in Cheshire, Warrington
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We think you need these skills to ace GTM Systems Engineer in Cheshire, Warrington
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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Craft a Tailored Cover Letter:For a full-time role at We Are Fr Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at We Are Fr Group. 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 We Are Fr Group
✨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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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 We Are Fr Group!
✨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.