Data & Analytics Manager: Governance & Insights in Manchester

Data & Analytics Manager: Governance & Insights in Manchester

Manchester Full-Time 61873 - 75623 £ / year (est.) On-site
O

At a Glance

  • Tasks: Lead a team to enhance data governance and drive predictive analytics across the organisation.
  • Company: One Manchester, a forward-thinking organisation focused on data-driven insights.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and collaboration.
  • Why this job: Shape data standards and make a real impact on organisational decision-making.
  • Qualifications: Experience in data management and strong leadership skills required.

The predicted salary is between 61873 - 75623 £ per year.

One Manchester is seeking a Data Manager to lead a team of data professionals and drive data governance, quality and predictive analytics across the organisation.

You will ensure robust datasets for reporting, insight and AI initiatives, partnering with senior leaders, IT and system owners to resolve data issues at source.

The role includes shaping standards, controls and data maturity while supporting the Assistant Director with budgets and priorities.

Data & Analytics Manager: Governance & Insights in Manchester employer: One Manchester

At One Manchester, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that prioritises employee growth and well-being. With competitive benefits such as 27 days of annual leave, a generous pension scheme, and opportunities for professional development, we empower our team to thrive while making a meaningful impact in the communities we serve. Join us in Manchester, where your contributions will help shape vibrant, sustainable places for people to call home.

O

Contact Details:

One Manchester Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Analytics Manager: Governance & Insights in Manchester

✨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 One Manchester!

✨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 Data & Analytics Manager: Governance & Insights at One Manchester.

✨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 One Manchester.

✨Apply Directly through Our Website

When you find a suitable opening like Data & Analytics Manager: Governance & Insights at One Manchester, 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 Manager: Governance & Insights in Manchester

Data Governance
Data Quality Management
Predictive Analytics
Dataset Management
Reporting Skills
AI Initiatives
Stakeholder Engagement

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 One Manchester, 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 One Manchester. 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 One Manchester

✨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 One Manchester!

✨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.