KPI & Data Governance Lead

KPI & Data Governance Lead

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
Tarka Talent

At a Glance

  • Tasks: Lead KPI development and ensure data integrity across business functions.
  • Company: Tarka Talent, a forward-thinking company focused on data governance.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to excellence in data management.
  • Why this job: Shape the future of data reporting and make impactful decisions.
  • Qualifications: Experience in reporting, data governance, and strong analytical skills.

The predicted salary is between 60750 - 74250 £ per year.

Tarka Talent is seeking an experienced reporting professional to own a critical business reporting environment, focusing on data integrity, KPI governance, and performance insight. You will collaborate across business functions to establish reporting standards, strengthen data quality and create a trusted single source of truth for decision-making.

With responsibility spanning KPI development, reporting governance, data stewardship and dashboard adoption, you’ll have the opportunity to improve.

KPI & Data Governance Lead employer: Tarka Talent

Join a leading independent business transformation consultancy that values its employees and fosters a culture of growth and collaboration. With competitive salaries, comprehensive benefits including private medical insurance and generous annual leave, this home-based role offers the flexibility to manage your work-life balance while travelling across the UK. As a Consulting Director, you'll have the opportunity to lead high-performing teams, drive significant revenue growth, and contribute to impactful transformation programmes, all within a supportive environment that prioritises professional development and strategic client relationships.

Tarka Talent

Contact Details:

Tarka Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land KPI & Data Governance Lead

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 Tarka Talent!

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 KPI & Data Governance Lead at Tarka Talent.

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 Tarka Talent.

Apply Directly through Our Website

When you find a suitable opening like KPI & Data Governance Lead at Tarka Talent, 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 KPI & Data Governance Lead

Data Integrity
KPI Governance
Performance Insight
Reporting Standards
Data Quality
Data Stewardship
Dashboard Adoption

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 Tarka Talent, 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 Tarka Talent. 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 Tarka Talent

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 Tarka Talent!

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.