At a Glance
- Tasks: Support teams with complex reporting and data validation using Oracle Fusion and SQL.
- Company: Join ITV, a leading media company known for innovation and creativity.
- Benefits: Fixed-term contract with competitive pay and opportunities for skill development.
- Other info: Dynamic role in a collaborative environment with growth potential.
- Why this job: Dive into data analysis and make a real impact on strategic insights.
- Qualifications: Analytical mindset with a passion for data integrity and customer service.
The predicted salary is between 30000 - 40000 £ per year.
ITV is seeking a Reporting & Data Analyst for a dynamic role based in Manchester. This 18-month fixed-term contract involves supporting internal teams with complex reporting requirements and data validation, utilizing Oracle Fusion and SQL.
The ideal candidate will be analytical and have a passion for data integrity and customer service. This role combines technical data management with strategic insights, fostering a culture of self-service data exploration.
Hybrid Data & Insights Analyst — AI-Driven Reporting in Manchester employer: ITV
ITV is an excellent employer that champions a collaborative and innovative work culture, particularly in the vibrant city of Manchester. Employees benefit from a supportive environment that prioritises professional growth through continuous learning opportunities and exposure to cutting-edge technologies. With a focus on data integrity and customer service, ITV empowers its team members to explore and utilise data effectively, making it a rewarding place for those passionate about analytics and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data & Insights Analyst — AI-Driven Reporting in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ITV on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills. We know that technical questions will come up, so practice some common queries and be ready to showcase your analytical prowess.
✨Tip Number 3
Show off your passion for data integrity! During interviews, share examples of how you've ensured data accuracy in past roles. This will resonate with ITV's focus on customer service and reporting.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Hybrid Data & Insights Analyst — AI-Driven Reporting in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your analytical skills and experience with data management tools like Oracle Fusion and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for data integrity and customer service. Let us know why you’re excited about this role and how you can contribute to our team’s success.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex reporting requirements in the past. We love candidates who can demonstrate their ability to think critically and provide strategic insights from data.
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 regarding the hiring process!
How to prepare for a job interview at ITV
✨Know Your Data Tools
Make sure you brush up on your knowledge of Oracle Fusion and SQL. Be ready to discuss how you've used these tools in past roles, and think of specific examples where your analytical skills made a difference.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical thinking during the interview. You might be asked to solve a problem or interpret data on the spot, so practice explaining your thought process clearly and logically.
✨Emphasise Customer Service Skills
Since this role involves supporting internal teams, highlight your experience in customer service. Share examples of how you've effectively communicated complex data insights to non-technical stakeholders.
✨Foster a Self-Service Culture
Discuss your approach to promoting self-service data exploration. Think about how you've empowered others to use data independently and be ready to share strategies that encourage a data-driven mindset within teams.
