At a Glance
- Tasks: Support the development of business intelligence reports and dashboards, ensuring data accuracy.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Gain valuable experience, mentorship, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to learn from experienced professionals.
- Why this job: Dive into the world of data analytics and make a real impact on business insights.
- Qualifications: Relevant qualification or experience in computing, data, or mathematics; foundational SQL skills.
The predicted salary is between 25650 - 31350 £ per year.
Support the development and maintenance of business intelligence reports, data processes and dashboards, helping colleagues access accurate and reliable information.
Work under the guidance of the senior BI lead and IS Manager, taking on more independent work as skills and experience develop.
Be responsible for checking, documenting and completing assigned work, and raising issues when support is needed.
- Role & Responsibilities
- Support the development, testing and maintenance of data connections, e. g. SQL queries, ETL processes, data models, reports and dashboards.
- Carry out data validation and reconciliation, investigate discrepancies and ...
- Work with colleagues and stakeholders to clarify assigned reporting requirements and explain findings clearly.
- Monitor assigned processes, assist with incident investigation and resolve routine issues using documented procedures and appropriate review.
- Maintain documentation for assigned reports, data definitions, transformations and support procedures.
- Follow agreed technical, security and data handling standards; submit changes for review, testing and approval before release.
- Contribute to projects, process improvements and related IS support activities appropriate to the role and level of experience; develop skills through coaching and knowledge.
- Scope & Remit
The scope of technology within remit includes all functions related to data science and business intelligence, but NOT in any way limited to:
- Data connectivity and integration
- Connect to and extract data from a multitude of sources e. g. SQL Server, Oracle, My SQL and other approved sources, including spreadsheets.
- Investigate source tables, relationships and data definitions to understand how the data should be used.
- Data transformation and loading (ETL)
- Develop, test and maintain assigned ETL processes to extract, clean, transform and load data for reporting and analysis, using tools such as SSIS.
- Validate loaded data, investigate failures and discrepancies, and elevate issues where support is needed.
- Assist with the design and maintenance of data models for reporting and analysis, including fact tables, dimensions and relationships.
- Document transformation rules and model structures, with changes reviewed by the senior BI lead.
- Reporting and insights
- Build and maintain reports and dashboards; analyse data to identify trends and anomalies.
- Check calculations and explain findings clearly, including any relevant data limitations.
- Data quality and governance
- Carry out data profiling, cleansing and quality checks.
- Maintain data definitions and documentation, follow access controls and elevate suspected data or security issues.
- Technical support and improvement
- Support troubleshooting and approved automation involving BI tools and data processes.
- Contribute to testing, documentation and implementation of improvements.
- Development
- Build knowledge of data integration, modelling, warehousing and analytical techniques through assigned work, training and coaching.
Qualifications & Requirements
- Relevant qualification in computing, data, mathematics or a related discipline, or equivalent demonstrable learning and practical experience.
- Foundational SQL, relational database and spreadsheet skills, with evidence from study, projects or employment.
- Ability to check data carefully, solve problems logically, communicate clearly and seek guidance when needed.
- Exposure to BI visualisation tools, ETL, SSIS, data modelling or a scripting language such as Python.
- Understanding of data quality, documentation or telecoms business data. Previous professional BI experience is not essential.
Junior Analyst, IS Data & Analytics employer: Gibtelecom Ltd
Gibtelecom Ltd fosters a supportive work culture that encourages professional growth and skill development. Employees have the opportunity to engage in innovative data projects, contributing to the company's success while advancing their careers. The emphasis on teamwork and clear communication enhances the overall work experience.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Analyst, IS Data & Analytics
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We think you need these skills to ace Junior Analyst, IS Data & Analytics
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 Gibtelecom 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 Gibtelecom 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 Gibtelecom 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 Gibtelecom 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.
