At a Glance
- Tasks: Build and maintain Tableau dashboards, provide insights on digital marketing performance.
- Company: Join a boutique digital agency focused on Adobe Analytics expertise.
- Benefits: Salary up to £50,000 with additional benefits included.
- Other info: Entry-level position in IT Services and IT Consulting.
- Why this job: Opportunity to contribute to personalisation initiatives and digital data integration projects.
- Qualifications: Strong hands-on expertise with Adobe Analytics and skilled in Tableau required.
The predicted salary is between 50000 - 50000 £ per year.
We are working with a boutique digital agency on a key Adobe Analytics hire.
Responsibilities
- Trend Analysis - building and maintain Tableau dashboards to track metrics changes over time across products, campaigns, and digital channels.
- Provide commentary and context, highlighting performance drivers and opportunities across digital marketing analytics.
- Contribute to personalisation initiatives and digital data integration projects.
- Strategic Input i.e. Spotting opportunities across reporting and insight outputs and suggest new avenues for optimisation or testing.
- Adobe Analytics Expertise - Create and manage segments, funnel views, and path visualisation. Develop and run attribution models, and explain implications clearly to senior marketing stakeholders.
- Act as a bridge between client stakeholders and internal teams, ensuring delivery is aligned with client priorities.
Qualifications
- Strong hands-on expertise with Adobe Analytics (segmentation, funnel, pathing).
- Skilled in Tableau (or equivalent) for time-series dashboards and trend commentary.
- SQL: ability to write and iterate queries to support reporting and analysis.
- Strong communication skills - confident presenting insights to senior and large audiences.
- Solid understanding of digital marketing techniques and KPIs.
Benefits
The successful Digital Analyst will receive a salary of up to £50,000, plus an array of additional benefits.
How to apply
Please register your interest by sending your CV to Harry Mincer via the apply link below.
Role details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Analyst
- Industries: IT Services and IT Consulting
Digital Analyst employer: Harnham Search & Selection
This boutique digital agency offers a competitive salary of up to £50,000 and a range of benefits. Located in the heart of the tech sector, the team focuses on innovative digital marketing solutions and values strategic input from all members.
Contact Details:
Harnham Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst
✨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 Harnham Search & Selection!
✨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 Digital Analyst at Harnham Search & Selection.
✨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 Harnham Search & Selection.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at Harnham Search & Selection, 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 Digital Analyst
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 Harnham Search & Selection, 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 Harnham Search & Selection. 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 Harnham Search & Selection
✨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 Harnham Search & Selection!
✨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.