At a Glance
- Tasks: Transform complex data into actionable insights and build dashboards using Power BI.
- Company: Join a data-driven organisation focused on strategic data assets.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to work on exciting data initiatives and enhance your skills.
- Why this job: Make a real impact by shaping key business decisions with your data expertise.
- Qualifications: Experience with SQL, Power BI, and a strong analytical mindset.
The predicted salary is between 40000 - 50000 £ per year.
This is an opportunity to join a data-driven organisation where your work will directly shape how key decisions are made. You will play a central role in transforming complex data into clear, actionable insights, working across multiple teams to improve reporting, governance, and data quality.
They are a well-established organisation with a strong focus on data as a strategic asset. Their Data and Analytics function is at the core of business performance, supporting a wide range of stakeholders with critical insights. They are investing in modern data tooling and best practices, creating an environment where analysts can develop and make a measurable impact. You will work closely with stakeholders to understand business needs and deliver high-quality data solutions and reporting.
- Partnering with stakeholders to gather, analyse, and document data and reporting requirements
- Building and delivering dashboards and visualisations using Power BI
- Writing complex SQL queries to extract and manipulate data
- Supporting data modelling and contributing to the development of scalable data structures
- Collaborating with data engineers on ETL processes and pipeline development
- Ensuring data quality through testing, validation, and issue resolution
- Supporting data governance by maintaining data dictionaries, metadata, and KPI definitions
- Leading data-related initiatives such as data cleansing, migration, and transformation
Strong commercial experience with SQL and relational databases.
Hands-on experience building dashboards in Power BI, including DAX.
Solid understanding of data modelling concepts such as star and snowflake schemas.
Experience working with ETL processes and data integration.
Strong analytical mindset with attention to detail and data accuracy.
Knowledge of data governance practices and documentation standards.
Data Analyst - Python, SQL, Power BI in London employer: Harnham
Join a forward-thinking organisation in London that prioritises data as a strategic asset, offering you the chance to make a significant impact through your analytical skills. With a strong emphasis on employee development and modern data practices, you'll thrive in a collaborative environment where your insights will drive key business decisions. Enjoy the benefits of working in a dynamic team that values innovation and supports your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Python, SQL, Power BI in London
✨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 Harnham!
✨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 Data Analyst - Python, SQL, Power BI at Harnham.
✨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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Python, SQL, Power BI at Harnham, 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 Data Analyst - Python, SQL, Power BI in London
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
