At a Glance
- Tasks: Transform complex data into actionable insights for workforce management.
- Company: Join a dynamic team within a leading HR-focused organisation.
- Benefits: Competitive pay, hybrid working, and opportunities for professional growth.
- Other info: Engage with stakeholders and champion best practices in analytics.
- Why this job: Make a real impact on decision-making and workforce processes.
- Qualifications: Experience in data analysis and proficiency in Excel or Power BI.
The predicted salary is between 31500 - 38500 £ per year.
Job Description
Job Advertisement: Reporting Analyst
Our client is seeking a dynamic and detail-oriented Reporting Analyst to join their People Function, specifically within the Delivery & Schemes (D&S) Directorate.
This is an exciting opportunity to make a significant impact on evidence-based decision-making and enhance workforce management processes.
Start ASAP, pending compliance checks, hours Monday-Friday 36 hours per week, this is a hybrid working role one day a week in the office, duration is for 6 months, pay - £350-400 per day via umbrella, location can be from one of our clients offices- London- Canary Wharf, Glasgow, or Cardiff.
Looking at HR reports and advising on improvements, as well as highlighting opportunities for pulling different data packs together.
Deliver accurate, timely, and insightful workforce management information, dashboards, and analyses that support strategic and operational decision-making.
Transform complex people data into clear, actionable insights by identifying trends, risks, and opportunities that inform workforce planning and organisational change.
Ensure high standards of data quality and compliance with GDPR and Civil Service reporting standards.
Proven ability to interpret and analyse complex data sets.
Proficiency in Excel, Power BI, or similar reporting platforms.
Strong attention to detail and a commitment to data quality.
Ability to present complex data in an accessible way for non-technical audiences.
Professional qualification in data analytics, HR analytics, or a similar discipline (or equivalent experience).
Knowledge of data visualisation best practises.
Understanding of Civil Service HR policies and reporting standards.
This role will involve engaging with various stakeholders and championing best practises in workforce analytics, ensuring data integrity and robust reporting capabilities.
If you are passionate about data and analytics and thrive in a collaborative environment, this could be the perfect role for you!
Apply today to help shape the future of workforce management!
Adecco is a disability-confident employer.
Adecco is committed to building a supportive environment for you to explore the next steps in your career.
Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers.
The Adecco Group UK & Ireland is an Equal Opportunities Employer.
Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Data Analyst - Senior Analyst in London employer: Adecco
Our client in Worthing is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. With competitive pay and flexible hours, employees enjoy a balanced work-life dynamic while having access to growth opportunities within the manufacturing sector. This role as a Kitting Operative not only provides meaningful work but also allows you to be part of a respected organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Senior Analyst 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 Adecco!
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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 Adecco.
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We think you need these skills to ace Data Analyst - Senior Analyst 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Adecco. 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 Adecco
✨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!
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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 Adecco!
✨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.
