10+ years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4HANA Analytics, SAP Datasphere Data Warehouse Cloud – DWC.
23 full life cycle implementations exposure.
Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4HANA or SAP HANA, especially HANA Cloud or HANA 2.0 for both modelling and scripting including the ability to write complex stored procedures.
High level knowledge of various replication methods to HANA or BW.
Knowledge of deployment modes of various SAP Analytics solutions: Cloud, On-Premise, Hybrid would be a plus.
Good core consulting skills – Oral and written communication, organisation and planning, client facing and interpersonal skills.
Good knowledge of latest trends in the Analytics space including platforms and solutions from other vendors.
Experience working on mixed modelling with BW4HANA and HANA native modelling.
Knowledge on S4HANA Analytics like building and extending CDS Views, Creating Query Views or Building KPIs using KPI Modeller is preferred.
Hands-on experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application Designer is a plus.
Knowledge of development on HANA 2.0 like HANA XSA Development, nodeJS or ABAP development would be an added advantage.
Hands-on knowledge of related planning solutions like BPC, TPM, BWIP will be nice to have and will give added advantage.
StudySmarter Expert Advice🤫
We think this is how you could land SAP Analytics Cloud Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like HCLTech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like SAP Analytics Cloud Architect at HCLTech.
✨Leverage Professional Networks
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 HCLTech.
✨Apply Directly through Our Website
When you find a suitable opening like SAP Analytics Cloud Architect at HCLTech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace SAP Analytics Cloud Architect in London
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 HCLTech, 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 HCLTech. 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 HCLTech
✨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 HCLTech!
✨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.
