At a Glance
- Tasks: Support reporting architecture, develop remediation plans, and ensure data quality assurance.
- Company: Join a leading firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact in data governance and architecture while collaborating with industry experts.
- Qualifications: 8-10 years in data analysis or architecture, strong SQL skills, and excellent stakeholder management.
The predicted salary is between 72000 - 88000 £ per year.
The Data Analyst/Data Architect will support the Reporting Architecture workstream, focusing on remediation planning, evidence quality assurance, and control & metric design.
The role involves working with platform owners, analyzing current vs. target state, and ensuring robust governance for reporting architecture.
Key Responsibilities
- Review and validate information gathered from platform owners regarding current and target state.
- Maintain and update progress tracking from current to target state.
- Remediation Planning & Execution
- Develop remediation plans for gaps identified during architecture assessment.
- Ensure timely execution and closure of remediation activities.
- Evidence Quality Assurance (QA)
- Validate evidence submitted for compliance and completeness.
- Implement QA processes to ensure accuracy and integrity of reporting architecture data.
- Control & Metric Design
- Design and implement controls to monitor reporting architecture compliance.
- Define and track key metrics to measure progress and effectiveness of remediation efforts.
- Stakeholder Collaboration
- Work closely with platform owners, architects, and governance teams.
- Facilitate workshops and questionnaires to capture current and target state requirements.
- Required Skills & Experience
Experience: 8–10 years in Data Analysis, Data Architecture, or Reporting Architecture roles.
Technical Skills
- Strong knowledge of data modeling, reporting frameworks, and architecture principles.
- Proficiency in SQL, data visualization tools (Power BI/Tableau), and metadata management.
Governance & Compliance
- Experience in designing controls and metrics for data governance.
- Familiarity with QA processes for evidence validation.
Soft Skills
- Excellent analytical, documentation, and stakeholder management skills.
Certifications (Preferred)
DAMA, CDMP, or equivalent in Data Management.
- Strong understanding of reporting architecture and remediation planning.
- Ability to design and implement effective controls and metrics.
- Detail-oriented with a focus on evidence validation and compliance.
- Seniority level
- Mid-Senior level
- Employment type
- Full-time
- Job function
- Engineering and Information Technology
- #J-18808-Ljbffr
Senior Data Architect employer: SmartEdge, Lda
As a Senior Mobile Security Engineer, you will thrive in a dynamic and innovative environment that prioritises employee growth and development. Our company fosters a collaborative work culture where your expertise in mobile security will be valued, and you will have access to cutting-edge tools and resources to enhance your skills. Located in a vibrant tech hub, we offer competitive benefits and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in security.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
✨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 SmartEdge, Lda!
✨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 Data Architect at SmartEdge, Lda.
✨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 SmartEdge, Lda.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Architect at SmartEdge, Lda, 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 Data Architect
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 SmartEdge, Lda, 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 SmartEdge, Lda. 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 SmartEdge, Lda
✨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 SmartEdge, Lda!
✨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.
