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- Tasks: Transform raw data into actionable insights and support strategic planning.
- Company: Dynamic IT services firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting career development opportunities in a supportive team culture.
- Why this job: Join a team driving data strategy and AI integration in a fast-paced environment.
- Qualifications: Experience in SQL, data analysis, and visualisation tools like Power BI.
The predicted salary is between 35000 - 45000 £ per year.
As a Data Analyst, you are an integral part of both the IT Services team and the wider IT Department, running and maintaining the ITIL v3 aligned services we provide across our UK and International offices. A large proportion of the firm's services are already underpinned by SQL and data services, and the role holds a particularly strong focus around our finance and practice management services, working very closely with the Finance Systems Team.
As the firm scales services utilising AI and automation, the structure, security, availability and accuracy of data across the organisation is becoming more critical than ever. Over the next 12-18 months, a huge focus will be on our revised data strategy which will see new technologies and services based on the Microsoft Fabric stack implemented across the organisation. This strategy will deliver secure, scalable structured and unstructured data sources which can be effectively mined by AI, with modern business intelligence services delivering internal and client facing insights.
Key responsibilities:
- Turning raw data into actionable insights.
- Support strategic planning and informed business decisions.
- Improve efficiency and identify growth opportunities.
- Service ownership.
- Implementing new and improving existing services.
- Understanding business requirements.
- Resolving business problems.
- Act as a point of escalation to desktop analysts.
What are we looking for:
Important criteria:
- Data collection and cleaning: Gathering data from various sources and ensuring its accuracy and consistency.
- Data analysis: Applying statistical techniques to extract meaningful information from the data.
- Data visualisation: Creating visual representations of data, such as charts and graphs, to facilitate understanding.
- Report generation: Developing clear and concise reports to communicate findings to stakeholders.
- Provide high-level technical guidance in initiating infrastructure-based service improvements.
- Act as a technical authority in the analysis of enhancement requests and recommend changes as required.
- Be responsible for liaison with internal / external teams to ensure delivery of technical solutions.
- Be aware of the impact of technical solutions in relation to cost and firm strategy.
- Provide specialist advice and guidance with skills transfer to members of the Support Desk and others as appropriate.
- Take a pro-active role in identifying any issues and possible solutions that may arise within an assignment and communicating these to the manager and customer as relevant.
- Utilise and champion agreed delivery methodologies and tools, including change and release management.
- Engage with the Finance Systems Team to perform monthly financial processes for the business.
- Keep software up to date with the latest cumulative and security patches.
- Implementing role-based security by managing user logins and permissions and additionally maintain robust backup strategies.
- Planning, installing, and configuring new instances of SQL based on technical design from stakeholders.
Demonstrable previous experience within the SQL DBA / Power BI area, specifically:
- Microsoft Fabric, including data factory.
- Data Lake.
- Dataverse.
- Python.
- Google Looker Studio.
- AI.
- Microsoft SQL Server, including Enterprise features, specifically availability groups.
- SQL Scripting / Queries.
- Power BI (Data Visualisation), designing and building interactive/dynamic dashboards.
- Windows Server and Windows Clustering.
- Working knowledge of networking/networking stack.
It would be beneficial to have some of the following:
- IIS.
- ITIL v3 Foundation.
- Microsoft Certified: Azure Foundation.
- Microsoft Certified: Power BI Data Analyst Associate.
- Microsoft Certified: Azure Enterprise Data Analyst Associate.
- SQL in public cloud services, such as Azure.
Data Analyst in Manchester employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local events in Manchester or Liverpool. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, Power BI, or AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've turned raw data into actionable insights or improved efficiency in past roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to ensure your application gets seen by the right people in our IT Services team.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data analysis, and any relevant tools like Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see how you've turned raw data into actionable insights.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Microsoft Fabric, Power BI, and any other tools mentioned in the job description. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role.
✨Showcase Your Analytical Skills
Prepare examples of how you've turned raw data into actionable insights. Think about specific instances where your analysis led to improved efficiency or growth opportunities. This will demonstrate your ability to support strategic planning effectively.
✨Understand the Business Context
Familiarise yourself with the company's services and how data plays a role in their operations. Being able to connect your technical skills to their business needs will show that you're not just a data whiz but also a valuable team player.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical knowledge, especially around data collection, cleaning, and visualisation. Practise explaining complex concepts in simple terms, as you'll need to communicate findings clearly to stakeholders.