At a Glance
- Tasks: Analyse large datasets to support housing investment decisions and improve asset management.
- Company: Dynamic housing provider in Macclesfield with ambitious growth plans.
- Benefits: £40,000 salary, 29 days holiday, birthday leave, and health support.
- Other info: Agile working environment with opportunities for training and career growth.
- Why this job: Make a positive impact on local communities while developing your data skills.
- Qualifications: Experience in data analysis, advanced Excel skills, and effective communication.
The predicted salary is between 40000 - 40000 £ per year.
Salary: £40,000 - 40,000 per year
Requirements
- Demonstrable experience in an analyst or data-focused role.
- Experience working with large datasets and database concepts.
- Ability to identify patterns, exceptions, and root causes.
- Ability to translate findings into clear recommendations.
- Effective communication with non-technical colleagues.
- Knowledge of data quality and governance practices.
- Advanced Excel skills.
- Ability to manage competing deadlines while delivering accurate outputs.
Responsibilities
- Maintain high-quality housing asset information to support safe, compliant, and value-for-money investment decisions.
- Manage and improve asset datasets, including stock condition, component lifecycles, compliance, and energy data.
- Produce insight and reporting for operational teams and leadership.
- Support robust data governance across our asset management systems.
- Work collaboratively within our Asset and Development team to support our wider housing investment plans.
- Identify data trends and exceptions and turn them into clear recommendations for colleagues and decision-makers.
Technologies
- Excel Support
We are a housing provider based in Macclesfield with over 5,000 properties across East Cheshire and the surrounding areas. We are ambitious, with plans to build more homes, regenerate local areas, and invest in our properties. This is a full-time Asset Data Analyst role within our Asset and Development team, offering agile working with a mix of office and home working at a salary of £40,000 per annum for 37 hours per week. We offer 29 days of holiday per year plus birthday leave and Bank Holidays, a pension scheme tailored to suit your needs, health and wellbeing support through our Health Cash Plan, training and development opportunities, and a modern office with a friendly working environment. We value people who share our outlook and want to make a positive impact.
Asset Data Analyst in Macclesfield employer: Sivara GmbH
As a leading housing provider in Macclesfield, we pride ourselves on fostering a collaborative and supportive work culture that empowers our employees to make a meaningful impact in the community. With a strong focus on professional development, we offer extensive training opportunities, a generous holiday package, and a flexible working environment that promotes work-life balance. Join us to be part of an ambitious team dedicated to improving local areas and investing in our properties, all while enjoying a modern office atmosphere and comprehensive health benefits.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Analyst in Macclesfield
✨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 Sivara GmbH!
✨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 Asset Data Analyst at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Data Analyst at Sivara GmbH, 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 Asset Data Analyst in Macclesfield
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
