At a Glance
- Tasks: Drive data-driven decisions and turn insights into actionable strategies across various business functions.
- Company: Join a dynamic team at a leading retail analytics firm.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by solving complex business challenges with data.
- Qualifications: Experience as a Data Analyst with strong SQL and analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking a senior data analyst to join data & analytics team.
In this role you will play a crucial part in driving data-driven decision-making across various business functions from customer, sales, commercial, merchandizing, product, supply chain, sustainability, finance and beyond.
You will be responsible for identifying strategic challenges, conducting in-depth analysis and collaborating with stakeholders to turn data into actionable insights that support business objectives.
Key responsibilities
- Proactively identify strategic challenges where decision support anchored in data is needed.
- Be the driver for data driven decisions making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations.
- Apply advanced analytics methods and tools to model, execute and follow up initiatives from idea to industrialization.
- Be responsible for the full analysis process from problem and scope definition to data extraction, cleaning, analysis, visualization, creating recommendations, and presenting results.
- Turn business challenges into structured data analyse. Define and setup measurable KPIs and OKRs, own and maintain their visualization for value reporting.
- Be the data analytics expert in cross-functional teams and collaborate with business stakeholders to solve business challenges using data analytics.
- Work on a broad variety of business challenges with a wide range of business stakeholders (sales, commercial, merchandizing etc.).
- Participate in wider analytics community
- Job Skills
We believe you are a business-minded, ambitious team player, analytical, curious, and very supportive.
We also believe you are structured, thorough with good communication and interpersonal skills.
You are highly solution-oriented, quickly adapting to changes in scope and time plan.
To be successful in this role we believe that you have
- Proven several years of experience as either as Data Analyst, Product/Business Analyst or similar
- Proven experience from retail sales, commercial, &/or merchandising business domain is must
- Have strong business sense and business interest with the ability of making sound interpretations of data and other information.
- Have excellent communication skills and are skilled in translating and explaining complex data analysis to non-technical and/or senior stakeholders.
- Have hands-on working experience writing advanced SQL queries to extract, prep, validate, and analyse large data sets.
- Have expert experience in Analytical tools i. e. power BI
- Have previous working experience or comfortable working cloud platform data analytics i. e. GCP – big query
- Have skills in Microsoft excel functions such as power pivot, power query. Tabular Editor, DAX etc.
- Are prestige less and enjoy collaborating with others to solve problems.
- #J-18808-Ljbffr
Senior Data Analyst employer: CO-WORKER TECHNOLOGY AB
CO-WORKER TECHNOLOGY AB is an attractive employer due to its focus on data-driven decision-making and the collaborative work environment it fosters. Employees have the opportunity to engage in meaningful projects that influence various aspects of the business, enhancing their professional growth. The company values innovation and encourages team members to leverage their analytical skills to drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 CO-WORKER TECHNOLOGY AB!
✨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 Senior Data Analyst at CO-WORKER TECHNOLOGY AB.
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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 CO-WORKER TECHNOLOGY AB.
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When you find a suitable opening like Senior Data Analyst at CO-WORKER TECHNOLOGY AB, 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 Senior Data 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 CO-WORKER TECHNOLOGY AB, 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 CO-WORKER TECHNOLOGY AB. 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 CO-WORKER TECHNOLOGY AB
✨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 CO-WORKER TECHNOLOGY AB!
✨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.
