At a Glance
- Tasks: Design and develop interactive dashboards using Microstrategy and Tableau for impactful data analysis.
- Company: Join a leading firm in data engineering with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data governance and quality standards.
- Why this job: Make a difference by optimising BI solutions that drive business decisions.
- Qualifications: 7-11 years of experience in Microstrategy and Tableau, with strong data analysis skills.
The predicted salary is between 56700 - 69300 £ per year.
Seeking a Senior Specialist with 7 to 11 years of experience in Microstrategy and Tableau for advanced data analysis and BI reporting.
Job Description
- Extensive experience in Microstrategy and Tableau for developing interactive dashboards and reports.
- Strong background in data analysis within the data analysis skill cluster family.
- Proficient in gathering, analyzing and translating business requirements into technical reporting solutions.
- Experienced in working with large datasets and ensuring data accuracy, consistency and governance.
- Skilled in optimizing reporting solutions to enhance business decision-making processes.
- Familiarity with data warehousing concepts and integration with reporting tools.
- Ability to collaborate effectively with cross-functional teams and stakeholders to deliver high-quality BI solutions.
Roles and Responsibilities
- Design, develop and maintain dashboards and reports using Microstrategy and Tableau.
- Analyze business requirements and translate them into effective reporting solutions.
- Optimize and tune queries to improve performance of BI reports.
- Collaborate with business analysts, data architects and stakeholders to ensure alignment of reporting solutions with business needs.
- Support data warehouse initiatives including data modeling, validation and integration with reporting platforms.
- Troubleshoot and resolve issues related to reporting applications and data inconsistencies.
- Ensure compliance with data governance and quality standards across all reporting deliverables.
Mandatory Skills: Microstrategy, Tableau
Senior Specialist - Data Engineering employer: LTM
LTM Company is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to make a meaningful impact in the technology sector. With a strong focus on employee growth, LTM offers ample opportunities for career advancement and skill development, particularly in the dynamic field of Salesforce B2C Commerce Cloud. Located in London, employees benefit from a vibrant city atmosphere while enjoying a flexible work arrangement that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Specialist - Data Engineering
✨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 LTM!
✨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 Senior Specialist - Data Engineering at LTM.
✨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 LTM.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Specialist - Data Engineering at LTM, 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 Senior Specialist - Data Engineering
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 LTM, 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 LTM. 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 LTM
✨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 LTM!
✨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.
