B2B Data Analyst - Dashboards, Forecasting & Insights

B2B Data Analyst - Dashboards, Forecasting & Insights

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
D

At a Glance

  • Tasks: Build and improve dashboards while providing insights for B2B analytics.
  • Company: Dohop Ltd., a vibrant company in Edinburgh with a collaborative culture.
  • Benefits: Flexible work hours, competitive salary, and a dynamic work environment.
  • Other info: Great opportunity for career growth in a supportive team.
  • Why this job: Join a team where your analysis drives real business optimisation and impact.
  • Qualifications: 3+ years of experience, strong SQL skills, and proficiency in BI tools.

The predicted salary is between 40000 - 50000 £ per year.

Dohop Ltd. is seeking an ambitious data analyst to join their commercial team in Edinburgh.

This role focuses on B2B analytics, where you will build, maintain, and improve dashboards and reporting tools.

You'll support partner business cases with analysis and financial modeling, ensuring accurate reporting to drive optimization.

The ideal candidate will have 3+ years of experience, strong SQL skills, and proficiency in BI tools.

The position offers flexibility in work hours and location, competitive salary, and a vibrant company culture.

#J-18808-Ljbffr

B2B Data Analyst - Dashboards, Forecasting & Insights employer: Dohop Ltd.

Dohop Ltd. is an excellent employer for those looking to thrive in a dynamic and supportive environment in Edinburgh. With a focus on employee growth, the company offers flexible work hours, competitive salaries, and a vibrant culture that encourages collaboration and innovation. Join us to make a meaningful impact through your analytical skills while enjoying the unique advantages of working in a forward-thinking team.

D

Contact Details:

Dohop Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land B2B Data Analyst - Dashboards, Forecasting & Insights

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 Dohop Ltd.!

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 B2B Data Analyst - Dashboards, Forecasting & Insights at Dohop Ltd..

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 Dohop Ltd..

Apply Directly through Our Website

When you find a suitable opening like B2B Data Analyst - Dashboards, Forecasting & Insights at Dohop Ltd., 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 B2B Data Analyst - Dashboards, Forecasting & Insights

B2B Analytics
Dashboard Development
Reporting Tools
Financial Modelling
SQL
Business Intelligence (BI) Tools
Data Analysis

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 Dohop Ltd., 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 Dohop Ltd.. 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 Dohop Ltd.

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 Dohop Ltd.!

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.