At a Glance
- Tasks: Deliver innovative data warehouse solutions using SAP Business Intelligence.
- Company: Join a global pharmaceutical enterprise with a focus on continuous learning.
- Benefits: Competitive salary, remote work options, and professional development opportunities.
- Other info: Dynamic team environment with opportunities for career advancement.
- Why this job: Make an impact in the healthcare sector while enhancing your tech skills.
- Qualifications: Experience in data warehousing and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
Company Description: SCT resources have a broad range of skills in different technologies. The large skill-set has been made possible by a conscious focus on strengthening our skills base. Every person selected for our team brings something new, something that adds to our offerings. We learn continuously, both on the job and through formal training programs.
Job Description: Our Client: International Pharmaceutical enterprise
Main duties are:
- Deliver data warehouse solutions using the SAP Business Intelligence product portfolio
- Establish connectivity to appropriate source systems
- Adhere to and contribute towards the evolution of the defined BI strategy, target architecture, roadmap, standards and best practices
- Proactively seek to continuously improve the Enterprise Business Intelligence solutions estate
The successful candidate will be experienced in:
DELIVERABLES / OUTPUTS:
- Data warehouse applications and ETL capabilities that meet customer requirements
- Test scripts and supporting test data
- Project & solution support documentation
- Activity and task plans
- In-project status reports as required
- Training, coaching & education, including supporting collateral as required
KEY ACTIVITIES:
Customer-Facing:
- Engage with project staff and customer representatives to capture detailed customer business processes and associated reporting and analysis needs
- Analyse, challenge and prioritise customer requirements to define appropriate Business Intelligence solution
- Facilitate customer data cleansing activities
- Define and deliver training and support as required
- Resolve in-project technical issues
- Provide customer support according to predefined service level agreements during warranty period
Technical Development & Implementation:
- Liaise with technical development staff to ensure customer business intelligence & analysis requirements are met
- Follow industry and company standard development methodologies
- Understand different data warehouse design approaches
- Activate standard SAP Business Information Warehouse Business Content as required
- Modify standard SAP Business Information Warehouse Business Content as required
- Create custom SAP
SAP Analyst - Business Intelligence / Data Warehouse employer: system canada technologies
As a leading investment bank, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. Our commitment to employee development is evident through extensive training programs and opportunities for career advancement, ensuring that every team member can grow their skills and contribute meaningfully to high-impact projects. Located in a vibrant financial hub, our office offers a collaborative culture that encourages creativity and teamwork, making it an excellent place for professionals seeking a rewarding career in finance.
Contact Details:
system canada technologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SAP Analyst - Business Intelligence / Data Warehouse
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We think you need these skills to ace SAP Analyst - Business Intelligence / Data Warehouse
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 system canada technologies, 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 system canada technologies. 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 system canada technologies
✨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 system canada technologies!
✨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.
