Data Officer in London

Data Officer in London

London Full-Time 29700 - 36300 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Maintain and improve Power BI dashboards while ensuring data quality and integrity.
  • Company: Join a dynamic team at Frontline, focused on data and business intelligence.
  • Benefits: Enjoy 25 days annual leave, flexible hours, and personal coaching.
  • Other info: Hybrid role with opportunities for professional growth and development.
  • Why this job: Make a real impact by enhancing data reporting and governance in a supportive environment.
  • Qualifications: Experience with SQL, DAX, and Power BI is essential.

The predicted salary is between 29700 - 36300 £ per year.

Frontline's newly established Data and Business Intelligence function is recruiting a permanent Data Officer to work alongside the Data Governance and Business Intelligence Lead.

The post centres on maintaining Power BI reporting, validating programme data and investigating quality issues so colleagues can rely on the data.

It is hybrid, with two days a week in the London office, and draws on Salesforce and programme data across the organisation.

Hands-on SQL, DAX and Power BI experience is expected, and the title and reporting line may change.

  • What the job involves
  • Maintain and improve Power BI dashboards, reports and business intelligence solutions
  • Produce accurate reporting and management information for programme delivery and decisions
  • Validate, quality-assure and transform programme data from Salesforce and other systems
  • Investigate data quality issues, anomalies and discrepancies, identifying root causes and improvements
  • Maintain reporting documentation, metric definitions and reporting standards
  • Contribute to data standards, governance documentation and reporting processes
  • Maintain datasets, data models and reporting environments
  • Work with Salesforce, Programme Management and Evaluation colleagues to ensure programme data is captured accurately
  • Respond to data and insight requests from colleagues and help stakeholders use information
  • Support participant, performance and contractual reporting requirements
  • Support the use of automation, AI and emerging technologies to improve reporting efficiency
  • Build expertise in data governance, BI and SQL, and help improve data literacy across the organisation
  • What’s required

Experience

  • Experience in a data, reporting, analytics, programme support or comparable role
  • Experience using SQL or DAX to extract, validate or analyse data
  • Experience investigating data quality issues and supporting governance or BI activities
  • Experience creating reports and dashboards to support decision-making
  • Experience using Power BI or a similar BI or reporting platform
  • Experience with Salesforce or comparable CRM systems

Skills & knowledge

  • Strong Excel skills with large, complex datasets
  • Strong numerical, analytical and problem-solving skills Excellent attention to detail, with a good understanding of data quality and integrity
  • Ability to identify trends, inconsistencies and anomalies within data
  • Strong written and verbal communication, including explaining data to non-technical colleagues
  • Other
  • Experience documenting processes, analysis or reporting outputs
  • Experience managing multiple stakeholders, competing priorities and deadlines
  • Experience with APIs, system integrations, automated data flows or automation and AI tools
  • Experience in education, professional development, charity or public sector environments
  • Proactive, curious and adaptable, following issues through to completion
  • What’s offered
  • 25 days annual leave plus bank holidays, with the office closed 25 December to 1 January
  • Competitive employer pension contribution
  • Flexible working hours
  • Option to buy up to five days of annual leave a year
  • Life assurance scheme at three times salary
  • Personal coaching and mentoring
  • Interest-free season ticket loan, cycle loan and deposit loan schemes
  • Volunteering days and employee assistance programme
  • #J-18808-Ljbffr

Data Officer in London employer: Frontline

At Frontline Group, we pride ourselves on being an exceptional employer that values data-driven decision-making and fosters a collaborative work culture. Our commitment to employee growth is evident through our comprehensive benefits package, including 28 days of holiday, hybrid working arrangements, and extensive learning opportunities, all within a diverse and inclusive environment in Peterborough. Join us to make a meaningful impact while enjoying a supportive atmosphere that empowers you to thrive.

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Contact Details:

Frontline Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Officer 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 Frontline!

✨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 Officer at Frontline.

✨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 Frontline.

✨Apply Directly through Our Website

When you find a suitable opening like Data Officer at Frontline, 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 Officer in London

Power BI
SQL
DAX
Data Validation
Data Quality Assurance
Data Analysis
Reporting Documentation

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 Frontline, 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 Frontline. 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 Frontline

✨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 Frontline!

✨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.