At a Glance
- Tasks: Ensure data quality by designing and deploying advanced tracking frameworks.
- Company: Join a forward-thinking analytics team in a dynamic environment.
- Benefits: Enjoy competitive salary, hybrid work options, and professional growth opportunities.
- Other info: Collaborate with diverse teams and stay ahead in the evolving data landscape.
- Why this job: Make a real impact by ensuring accurate data for innovative projects.
- Qualifications: Proficiency in Google Tag Manager and strong attention to detail required.
The predicted salary is between 36000 - 60000 £ per year.
The Analytics Associate Partner will serve as the guardian of data quality, ensuring that every user interaction is captured accurately through robust tracking setups. You will own the configuration of tag management & analytics platforms, bridging the gap between client websites and our reporting platforms by designing custom tracking solutions and maintaining rigorous data integrity standards.
Role Responsibilities
- Design and deploy advanced tracking frameworks using tag management & analytics platforms, ensuring all client KPIs are captured with precision across web and app environments.
- Lead the technical audit process for new and existing clients, identifying broken tags, data discrepancies, and tracking gaps, and executing the necessary remediation roadmaps.
- Define clear dataLayer specifications for client developers, providing detailed documentation to ensure the website code supports the tracking requirements.
- Collaborate with the Data Visualisation and Engineering teams to ensure the data flowing into BigQuery and BI tools is structured, accurate, and ready for analysis.
- Manage Consent Mode and Privacy compliance configurations, ensuring tracking setups adhere to GDPR/CCPA regulations without sacrificing critical data visibility.
- Conduct rigorous Quality Assurance and debugging using tools like Tag Assistant, Developer Console, and network requests before any container publication.
- Act as the technical point of contact for internal non-technical teams, explaining complex tracking concepts in simple terms and troubleshooting live data issues proactively.
- Stay ahead of the cookie-less future, assisting in the setup of Server-Side GTM and first-party data strategies.
Your KPIs / Outputs
- Ensure 100% Data Trust: Maintain high data quality scores by minimizing tracking errors, discrepancy rates, and broken tags across client portfolios.
- Deployment Efficiency: Deliver tracking implementations and container updates within agreed SLAs to support timely campaign launches.
- Technical Documentation: Produce clear, standardized dataLayer specs and solution design documents for every project to minimize developer friction.
- Innovation in Collection: Proactively identify opportunities to capture richer data attributes (e.g., granular e-commerce data, user properties) to enhance downstream reporting.
- Compliance: Ensure all tracking deployments define and respect user consent states (Consent Mode) to protect client liability.
Role Details
- Reports to: Analytics Partner
- Responsible for: Managing GTM containers, GA4 property configuration, dataLayer auditing, and technical implementation quality.
- Location: Manchester/London & Hybrid
- Hours / Days: 37.5 hours, over 5 days per week.
- Contract basis: Permanent.
To be successful in this role
- Technical Proficiency: You are comfortable working in the browser console, reading code, and understanding how a webpage functions (DOM elements, JSON, HTML).
- Attention to Detail: You have an obsessive approach to QA, ensuring that data is valid before it ever reaches a report.
- Problem Solver: You enjoy the puzzle of debugging why a tag didn’t fire or why a specific event parameter is missing.
- Communicator: You can translate technical concepts and work to non-technical stakeholders.
Skills & Experience required
- Must Have
- Deep proficiency in Google Tag Manager (GTM): Triggers, Variables, Custom HTML/JS tags, and complex container management.
- Advanced GA4 Knowledge: Configuration, Admin settings, Exploration reports, and debugging.
- Experience with QA Tools: Tag Assistant, GA Debugger, Chrome Developer Tools (Network/Console tabs).
- Understanding of dataLayers: How to read, push to, and validate dataLayer objects.
- Desirable
- Server-Side GTM: Experience setting up or managing server-side containers.
- Experience with other Tag Management Systems (e.g. Tealium, Adobe Launch).
- Experience with other Analytics Platforms (e.g. Adobe Analytics).
- Consent Management Platforms (CMPs): Experience integrating tools like OneTrust or Cookiebot with GTM.
- Looker Studio: Basic ability to visualize data to prove tracking accuracy.
Expectations for all Open Partners Employees
- Follow our Employee Handbook
- Live by our values
- Smarter - Aim high, train hard, embrace next
- Faster - Learn fast, adapt fast, act fast
- Better - Think, say and do what’s best
Data Analyst in Manchester employer: Open Partners
As a leading employer in the analytics sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Analysts to excel. With a strong focus on employee growth, we offer comprehensive training opportunities and a supportive environment that encourages continuous learning and development. Located in the vibrant cities of Manchester and London, our hybrid work model provides flexibility while ensuring you are part of a dynamic team dedicated to maintaining the highest standards of data integrity and quality.
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We think this is how you could land Data Analyst in Manchester
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We think you need these skills to ace Data Analyst in Manchester
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 Open Partners. 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 Open Partners
✨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 Open Partners!
✨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.
