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- Tasks: Transform complex data into actionable insights and create stunning visual reports.
- Company: Join a forward-thinking finance team at Next Ltd.
- Benefits: Enjoy a competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make an impact by driving data-driven decisions in a collaborative environment.
- Qualifications: Experience with Power BI, SQL, and a passion for data analysis.
- Other info: Great entry-level opportunity with room for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst – Finance
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hackajob is collaborating with Next Ltd to connect them with exceptional tech professionals for this role.
We are seeking a highly skilled Data Analyst with a strong background in business intelligence and data visualisation, demonstrating expertise in data modeling, report design, and advanced analytics. Proven ability to translate complex data into clear, actionable insights for stakeholders across various departments.
Key Skills
- Microsoft Power BI Expertise: Proficient in developing and maintaining Power BI reports and dashboards, including advanced DAX calculations, Power Query transformations, and data modeling.
- Data Analysis & ETL: Experienced in data extraction, transformation, and loading (ETL) processes from various sources, and performing in-depth data analysis to identify trends and provide recommendations.
- Technical Proficiency: Strong command of SQL and Excel
- Cloud Platforms: Familiar with Microsoft Azure environments such as Azure Data Factory, Azure SQL DB, Azure Synapse Analytics, or Azure Databricks.
- Stakeholder Collaboration: Excellent communication and relationship management skills, with a track record of gathering requirements and delivering solutions that meet business needs.
Experience
- Microsoft Power BI Data Analyst Associate (PL-300) or equivalent experience
- Experience in implementing RLS & Alerts
- Developing Power BI-based reports and dashboards utilising data from various sources
- Gathering requirements to develop complex ETL processes and data models for process automation.
- Designing and implementing data models and databases in collaboration with finance and sales teams.
- Creating high-impact, story-driven dashboard development and multi-level reporting for diverse audiences, including executive teams.
- Providing insights and analytical breakdowns of performance metrics to enable data-driven decision-making.
- Implementing data and reporting strategies, and analysing existing datasets for report consolidation and data controls.
- A collaborative mindset, with the ability to work well in a team-oriented environment.
Nice To Have
- Advanced Technical Skills: Proficient in SQL (T-SQL / S-SQL), and experienced with SSMS or Data Bricks.
- Advanced Excel: Strong skills in Excel, including Power Pivot and Power Query, with the ability to work with complex datasets.
- Familiarity with SSRS reporting tools.
- A desire to learn or experience with statistical languages such as Python or R.
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Software Development
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Data Analyst - Finance employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Finance
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI reports and dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can demonstrate your experience with SQL, ETL processes, and stakeholder collaboration through real-life examples.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Analyst role, and applying directly can give you a better chance of getting noticed.
We think you need these skills to ace Data Analyst - Finance
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Microsoft Power BI and SQL right from the get-go. We want to see how you can turn complex data into actionable insights, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that align with the job description, especially around data modelling and ETL processes. This shows us you’re genuinely interested and have done your homework.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at hackajob
✨Know Your Tools Inside Out
Make sure you're well-versed in Microsoft Power BI, SQL, and Excel. Brush up on your DAX calculations and Power Query transformations, as these will likely come up during the interview. Being able to discuss specific projects where you've used these tools will really impress.
✨Showcase Your Analytical Skills
Prepare to discuss how you've translated complex data into actionable insights in previous roles. Think of examples where your analysis led to significant business decisions or improvements. This will demonstrate your ability to add value to their team.
✨Understand the Business Context
Research Next Ltd and their industry. Understand their key challenges and how data analytics can help solve them. This knowledge will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.
✨Practice Stakeholder Communication
Since stakeholder collaboration is crucial for this role, practice explaining technical concepts in simple terms. Be ready to share experiences where you've gathered requirements or worked with different teams to deliver solutions. This will highlight your communication skills and collaborative mindset.
