At a Glance
- Tasks: Analyse data to shape policy communications and create impactful measurement frameworks.
- Company: Join Meta, a leading tech company driving change through data insights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI practices and innovative solutions.
- Why this job: Make a real difference by influencing how Meta engages with policymakers and the public.
- Qualifications: Experience in data analysis, SQL or Python skills, and strong communication abilities.
The predicted salary is between 40000 - 50000 £ per year.
Meta is seeking a Data Analyst to join the Communications Measurement team, supporting the policy communications function with data-driven insights that shape how Meta engages with policymakers, regulators, and the public. In this role, you will design and maintain measurement frameworks that evaluate the reach, resonance, and impact of policy communications campaigns across earned media, owned channels, and stakeholder engagement efforts. You will translate complex data into clear narratives that inform communications strategy and help teams prioritise their most impactful work.
Required Skills
- Design and maintain measurement frameworks to evaluate the effectiveness of policy communications campaigns across earned media, owned channels, and stakeholder engagement programs.
- Analyse media coverage, sentiment trends, and audience engagement data to surface actionable insights for policy communications teams.
- Build and maintain dashboards and reporting tools that track key performance indicators for communications initiatives, enabling teams to monitor progress against strategic goals.
- Partner with policy communications leads to define measurement objectives, establish baselines, and interpret results in the context of regulatory and public affairs priorities.
- Synthesize quantitative and qualitative data into clear, concise reports and presentations tailored to communications leaders and cross-functional stakeholders.
- Identify patterns and anomalies in communications performance data, translating findings into recommendations that support strategic alignment across policy and communications teams.
- Collaborate with data engineering and analytics partners to ensure data pipelines and sources supporting communications measurement are accurate, reliable, and scalable.
- Evaluate and integrate third-party media monitoring, social listening, and audience research tools to expand the team's measurement capabilities.
- Support the development of standardized methodologies for measuring policy communications impact, contributing to team-level goals and long-term measurement strategy.
- Leverage AI-integrated workflows to accelerate data analysis, automate routine reporting tasks, and surface insights more efficiently across the communications measurement function.
Minimum Qualifications
- Experience partnering with cross-functional stakeholders to define measurement goals, interpret results, and align on data-informed recommendations.
- Experience translating complex data findings into clear written narratives and presentations for non-technical audiences including communications or policy leaders.
- Experience working with large datasets using SQL or Python to extract, clean, and analyse structured and unstructured data.
- 2+ years of experience in data analysis, analytics, or measurement within a communications, public affairs, media, or policy-adjacent environment.
- Experience designing and maintaining dashboards and reports using data visualization tools such as Tableau, Looker, or equivalent platforms.
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ability to integrate AI tools to optimise/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Experience with media monitoring, social listening, or audience research platforms used to measure earned media and public sentiment in a policy or corporate communications context.
- Experience building measurement frameworks for public affairs, government relations, or regulatory communications campaigns.
- Familiarity with statistical methods for communications research, including survey analysis, sentiment scoring, or message resonance testing.
- Demonstrated ability to apply AI tools to accelerate data analysis workflows, automate reporting, or generate communications insights at scale.
Data Analyst, Communications Measurement employer: Meta
Meta is an exceptional employer that fosters a dynamic and inclusive work culture, where data-driven insights play a pivotal role in shaping impactful policy communications. Employees benefit from robust professional development opportunities, collaborative cross-functional partnerships, and the chance to leverage cutting-edge AI technologies in their work. Located in a vibrant tech hub, Meta offers a stimulating environment that encourages innovation and growth, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Communications Measurement
✨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 Meta!
✨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 Analyst, Communications Measurement at Meta.
✨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 Meta.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst, Communications Measurement at Meta, 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 Analyst, Communications Measurement
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 Meta, 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 Meta. 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 Meta
✨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 Meta!
✨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.