At a Glance
- Tasks: Analyse and visualise data to provide actionable insights and support decision-making.
- Company: Join Iskima, a leader in skill assessment and talent verification.
- Benefits: Enjoy a full-time remote role with opportunities for growth and development.
- Other info: Dynamic team environment with a focus on innovation and operational improvements.
- Why this job: Make an impact by transforming data into insights that drive business decisions.
- Qualifications: Proficiency in data analysis tools and a degree in a related field.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Junior Data Analyst, Reporting & Metrics role at Iskima. Iskima leverages its expertise in skill assessment and industry insights to help employers make informed hiring decisions with speed and fairness by verifying candidate credentials. For professionals, Iskima offers opportunities to certify their skills and showcase capabilities to connect with verified job opportunities. For employers, Iskima delivers access to pre‑verified, skilled talent, reducing hiring time and ensuring confidence in candidate selection.
This full‑time, remote Junior Data Analyst role on the Reporting & Metrics team involves analyzing and visualizing datasets to provide actionable insights. The Junior Data Analyst will create and maintain reports and dashboards, extract data for analysis, and interpret trends to assist decision‑making. Additional tasks include supporting the development of metrics frameworks and identifying operational improvements based on data findings.
Qualifications:
- Proficiency in data analysis, data visualization, and tools like Excel, Tableau, Power BI, or similar
- Experience with SQL and databases, along with a strong understanding of data management
- Ability to interpret and present data insights to inform business decisions
- Strong analytical and problem‑solving skills
- Detail‑oriented with excellent organizational skills
- Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Mathematics) or equivalent experience
- Familiarity with programming languages such as Python or R is a plus
- Experience in creating metrics frameworks and formulating actionable insights is advantageous
Seniority level: Entry level
Employment type: Full‑time
Job function: Information Technology
Industries: E‑Learning Providers
Junior Data Analyst, Reporting & Metrics employer: Iskima
Iskima is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring data analysts. With a strong focus on employee growth, Iskima provides comprehensive training and development opportunities, allowing you to enhance your skills in data analysis and visualization while working remotely. Join us to be part of a mission-driven team that values fairness and transparency in the hiring process, making a meaningful impact in the E-Learning industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst, Reporting & Metrics
✨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 Iskima!
✨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 Junior Data Analyst, Reporting & Metrics at Iskima.
✨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 Iskima.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Analyst, Reporting & Metrics at Iskima, 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 Junior Data Analyst, Reporting & Metrics
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 Iskima, 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 Iskima. 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 Iskima
✨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 Iskima!
✨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.
