At a Glance
- Tasks: Analyse customer data and improve wastewater management solutions using innovative tools.
- Company: Leading tech company focused on sustainable water solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and customer satisfaction.
- Why this job: Make a real difference in environmental sustainability while developing your analytical skills.
- Qualifications: Strong analytical skills and experience in data analysis; good communication is key.
The predicted salary is between 35000 - 45000 £ per year.
Description
Our products deliver on real-world issues in solving water company and industry problems with existing and new infrastructure that is critical to the environment, economy and everyday living.
We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based.
We are now building on our existing team to onward develop our existing product, and continue grow our customer offerings, base and revenues.
Working with the bespoke Storm Harvester data toolset, this position requires critical thinking, data analysis, a solution-oriented approach, and development of an understanding of what a 'good' fit for data looks like for water utility sewers.
The role is critical one for Storm Harvester bridging internal and external teams in ensuring service delivery for customers meets the high standards required.
You will become familiar with the waste water network for our customers, making judgements and assessments as to how to best represent the data in conjunction with our customers and in understanding what is possible and required within Storm Harvester.
You will actively review and enact changes around system outputs and models to ensure we can support the customer in their waste water network management.
Requirements
- Customer Analysis
- Daily reviews of outputs to customers..
- Assessment of alerts and potential changes
- Quality assessment and ‘cleaning’ of data.
- Creation of new models and updates to existing models.
- Prepare customer reports on service delivery as required.
- Internal Reporting
- Prepare internal reports and feedback on current product behaviours across multiple customers and assets.
- Ticket management
- Raise internal tickets for work and follow up on their implementation.
- Input into AI back-end/Storm Harvester Toolset innovation
- Look for opportunities for service improvement and enhanced efficiencies.
- Identify tooling improvements in identifying useful new tools and processes.
To do the role effectively, you will become familiar with
- The wastewater network, components, and processes.
- Varying behaviours at individual nodes and in the network.
- The Storm Harvester Products.
- The Storm Harvester Tools for understanding and predicting behaviours.
- The Storm Harvester customers and SLAs.
- Account Management and Storm Harvester responsibilities and commitments.
- Storm Harvester customer interfaces.
- Alerting and alarming for sites and customers.
- Predictive models and parameters.
Essential Criteria
- Demonstrable analytical capabilities.
- Ability to interpret graphs with respect to actual versus desired behaviours.
- Experience of data analysis.
- Good communicator, verbal and written.
- Familiarity with Microsoft: Excel, Power Point, Teams and Word.
- Good client relationship skills.
Desirable Criteria
- Water industry, water utility or utility domain experience.
- Civil engineering appreciation or experience.
- Use of business analytical tools.
- Able to create macros/make use of data analysis tooling.
- Experience of working in technical teams.
- Project management experience.
Customer Data Analyst 3+ Years in Belfast employer: StormHarvester
At StormHarvester, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. Located in a vibrant area, we offer competitive benefits, continuous learning opportunities, and the chance to make a meaningful impact in the water industry through cutting-edge data analytics and machine learning solutions. Join us to be part of a dedicated team that values your contributions and supports your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Analyst 3+ Years in Belfast
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We think you need these skills to ace Customer Data Analyst 3+ Years in Belfast
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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Craft a Tailored Cover Letter:For a full-time role at StormHarvester, 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 StormHarvester. 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 StormHarvester
✨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
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✨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.
