At a Glance
- Tasks: Develop and enhance Power BI dashboards while translating data into actionable insights.
- Company: Join Sandwell Council, a values-led organisation making a real impact in the community.
- Benefits: Enjoy competitive pay, excellent benefits, and a strong focus on personal development.
- Other info: Flexible hybrid working environment with opportunities for career growth.
- Why this job: Be part of a team that delivers services that truly make a difference to people's lives.
- Qualifications: Experience in data analytics and proficiency in Power BI are essential.
The predicted salary is between 30000 - 40000 £ per year.
Sandwell Council’s HR Division is seeking a talented and motivated Data Analytics Officer to join its team on a full-time, six-month fixed-term contract in a hybrid environment. This vacancy is not open to interim or daily-rate contractors.
In This Role You Will:
- Develop, maintain and enhance Power BI dashboards to support the transition from Excel-based workforce reports and dashboards.
- Extract, cleanse and validate data from Oracle Fusion and other relevant data sources.
- Translate complex data into clear actionable insights to support senior leaders and strategic decision-making.
- Support the production of standardised reports for routine management information and key performance indicators.
- Work collaboratively with HR, Finance and service areas to understand business needs and reporting requirements.
- Ensure data quality, accuracy and compliance with data governance standards.
At Sandwell Council, our work has a real impact. We are proud to be a values‑led organisation that supports its employees with excellent benefits, a competitive remuneration package, and a strong focus on development. By joining us, you’ll play a key role in delivering services that make a real and lasting difference to thousands of people across the borough.
Interviews will take place on an ongoing basis until a suitable appointment is made. To be considered, please submit a CV and supporting statement to Imran_butt@sandwell.gov.uk.
Data Analytics Officer employer: Sandwell Council
Sandwell Council is an exceptional employer that values its employees and fosters a supportive work culture. With a strong emphasis on professional development, competitive benefits, and the opportunity to make a meaningful impact in the community, joining our HR Division as a Data Analytics Officer means being part of a team dedicated to enhancing services for thousands of residents. Our hybrid working environment further promotes work-life balance, making Sandwell Council a rewarding place to grow your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Officer
✨Get Involved in Data Science Meetups
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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 Sandwell Council.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics Officer at Sandwell Council, 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 Data Analytics Officer
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 Sandwell Council, 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 Sandwell Council. 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 Sandwell Council
✨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 Sandwell Council!
✨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.