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- Tasks: Support data needs by building and validating SQL queries for CRM audiences.
- Company: Join a dynamic ISIT team in a collaborative environment.
- Benefits: Gain hands-on experience with SQL and Salesforce Marketing Cloud.
- Other info: Onsite work two days a week with opportunities for growth.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Experience with SQL, Salesforce, and advanced Excel skills required.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a Data Support Analyst to work within our ISIT team supporting the data requirements of our business departments. You will work closely with our business teams to understand their requirements and work with our remote technical teams to build and validate SQL queries to deliver the correct CRM audiences from within Salesforce Marketing Cloud. Reporting to our Data Lead, you will also ensure that the current technical architecture is fully understood and documented.
Skills:
- SQL
- Salesforce Marketing Cloud
- Advanced Excel Experience
- Any previous role involving analysis and segmentation of large data sets
- Preparation and validation of SQL data extract scripts
- Use of Excel pivot tables
- Demonstrable use of AI to improve functional delivery
Data Support Analyst employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Support Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with data or at companies you're interested in. A friendly chat can lead to insider info and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Excel projects, or any data analysis you've done. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Think about how you’d explain your experience with Salesforce Marketing Cloud or how you’ve used AI in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Support Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Salesforce Marketing Cloud, and Excel. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Support Analyst role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Analytical Skills: Since this role involves working with large data sets, make sure to mention any previous experience you have with data analysis and segmentation. We want to know how you’ve tackled similar challenges in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Lorien
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in previous roles, especially in relation to building and validating queries. Practising some common SQL problems can really help you feel confident.
✨Familiarise Yourself with Salesforce Marketing Cloud
Since this role involves working with Salesforce Marketing Cloud, it’s a good idea to get familiar with its features and functionalities. If you can, try to showcase any relevant experience or projects where you've used this platform to demonstrate your understanding.
✨Excel Skills are Key
Advanced Excel skills are a must for this position. Brush up on your pivot tables and data analysis techniques. You might even want to prepare a few examples of how you've used Excel to analyse large datasets in the past.
✨Understand the Business Needs
Take some time to research the company and its business departments. Understanding their data requirements will help you answer questions more effectively and show that you're genuinely interested in how you can support their needs.