At a Glance
- Tasks: Create impactful reports and dashboards while managing data flow processes.
- Company: Join Network Plus, a leading provider of essential utility services in the UK.
- Benefits: Competitive salary, full benefits package, and a commitment to diversity.
- Other info: Inclusive workplace culture that values diverse perspectives and experiences.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Strong analytical skills and experience with data reporting tools.
The predicted salary is between 30000 - 40000 £ per year.
As a Reporting Data Analyst, you will ensure the delivery of effective performance reports and KPI dashboards. You will manage data flow processes, including the design of database architecture and Extract, Transform and Load (ETL) processes. We are currently using SSRS; however, as a Reporting Data Analyst, you will have the opportunity to play a key role in the development of high-quality analytics utilising new BI solutions, such as Power BI.
Key Responsibilities
- Translate business requirements into specifications for new solutions
- Convert legacy reports to new automated MI solutions
- Design and implement technology best practices, guidelines and development standards
- Work alongside DBA’s to analyse and improve performance of new and existing solutions
- Develop and document new MI solutions such as reports, dashboards, KPIs including data visualisation layers and DataMart's
- Interrogate and interpret large volumes of data to identify, support and challenge business opportunities
- Proactively look for ways to use data analytics solution to help the business move to a data driven approach to decision making
- Work with the Performance team to identify areas of risk and identify business areas where focus is required to improve performance
- Diagnose and fix issues with existing reports/dashboards
- Support the prioritisation of improvement effort by developing, reviewing and analysing KPIs, contract and functional performance management frameworks and other management information, and undertaking diagnostic and benchmarking exercises to support decision-making
- Maintain high standards of data quality and integrity within the relevant databases.
- Identify customer reporting requirements, agree realistic timescales and communicate updates to meet their expectation
- Build substantial ETL pipelines, working with large data sets and designing robust solutions as well as mine, integrate and extract insights from large and disperse datasets and translating them into clear and precise business conclusions
Skills, Knowledge & Expertise
- Attention to detail: A meticulous approach is vital for identifying and correcting anomalies that could affect reporting results
- Time Management: The ability to manage workload and prioritise tasks to meet deadlines is important.
- Teamwork & Collaboration: Interpersonal skills to collaborate with others and deliver solutions effectively are valuable.
- Analytical & Problem-Solving Skills: The ability to analyse complex data, identify discrepancies, and interpret findings to support business decisions is crucial.
- Communication Skills: Strong verbal and written communication skills are necessary for interpreting client requirements and presenting data insights clearly to stakeholders
- Network hardware configuration and troubleshooting
- Wireless network Systems
- Printing technologies
- A very analytical mind, able to tackle a problem from different angles and make decisions quickly
- Strong communication - good written and oral communication skills
- Excellent interpersonal skills
- Ability to present ideas in business-friendly and user-friendly language
Job Benefits
We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.
About Network Plus
Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater. We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer. We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances.
Reporting Analyst employer: Network Plus
Network Plus is an exceptional employer that fosters a collaborative and inclusive work culture, where every employee's contribution is valued. As a Reporting Data Analyst, you will have access to a competitive salary and comprehensive benefits, alongside opportunities for professional growth through innovative BI solutions like Power BI. Located in the heart of the UK’s utility and infrastructure sector, you will be part of a team that champions diversity and supports career development, making it a rewarding place to build your future.
StudySmarter Expert Advice🤫
We think this is how you could land Reporting Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Reporting 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 Network Plus, 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 Network Plus. 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 Network Plus
✨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 Network Plus!
✨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.
