At a Glance
- Tasks: Manage data requests and ensure quality, accuracy, and compliance of organisational data.
- Company: Dynamic organisation focused on data-driven solutions and team collaboration.
- Benefits: Generous perks including eye care, wellbeing allowance, and private healthcare after one year.
- Other info: Enjoy flexible work options and opportunities for continuous learning and growth.
- Why this job: Join a fast-paced environment and make a real impact on business development with data.
- Qualifications: Strong organisational skills, Excel proficiency, and a collaborative mindset.
The predicted salary is between 30000 - 40000 £ per year.
The Data Services Coordinator is responsible for managing data requests across the business and maintaining the quality, accuracy and compliance of the organisation’s data. The role supports sales, marketing and operational teams by providing reliable data, reporting and fulfilment processes.
Key Responsibilities
- Maintain and update database records to ensure they are accurate, complete and compliant with GDPR.
- Manage incoming data requests from internal stakeholders, primarily Sales and Marketing teams.
- Research and enrich data to support prospecting and business development activities.
- Generate reports to support sales activity, campaigns and internal performance tracking.
- Provide data selection and segmentation support for events, campaigns and subscriptions.
- Collaborate with internal teams (Sales, Marketing, Events and Finance) to ensure data needs are met.
- Support partner relationships by maintaining accurate records and ensuring compliance standards are met.
Skills Knowledge and Expertise
- Strong organisational and time management skills, with the ability to manage multiple requests.
- Strong Excel skills and preferably familiarity with CRM systems.
- Good problem-solving ability and attention to detail.
- Strong written and verbal communication skills.
- Ability to work collaboratively across teams and communicate with stakeholders at all levels.
- Self-motivated with the ability to work in a fast-paced and evolving environment.
- A proactive approach to continuous learning, with a strong desire to develop new skills and stay up to date in a fast-moving, data-driven environment.
Benefits
Our people are our most valuable asset, as such, we offer a wide range of benefits to help ensure that all are supported:
- Start of employment: Eye care, Employee Assistance Programme, A day off for your birthday.
- After 3 months employment: Pension (4% employer contribution and 4% employee contribution).
- After 4 months employment: Life assurance.
- After probation: Cycle to work scheme, Season ticket loan, £350 annual wellbeing allowance to contribute to gym memberships or fitness classes, Puregym access, Perks at work platform access.
- After 1 year service: Private healthcare.
- Additional Perks: Company socials, Access to Employee Affinity Networks, Mentoring scheme, Volunteering Day, Mortgage Advice, Work from anywhere (2 weeks), Generous parental leave.
Data Services Coordinator employer: Law Business Research
As a Data Services Coordinator, you will thrive in a dynamic and supportive environment that values your contributions and prioritises employee well-being. Our company offers a comprehensive benefits package, including generous parental leave, private healthcare, and a £350 annual wellbeing allowance, ensuring you have the resources to maintain a healthy work-life balance. With a strong focus on professional development and collaboration across teams, this role provides ample opportunities for growth and learning in a fast-paced, data-driven setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Services Coordinator
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Law Business Research.
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We think you need these skills to ace Data Services Coordinator
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Law Business Research, 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 Law Business Research. 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 Law Business Research
✨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!
✨Showcase Your Projects
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 Law Business Research!
✨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.
