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For Companies At a Glance
- Tasks: Manage data analytics projects and deliver actionable insights for clients.
- Company: Fast-growing advisory firm with a global presence and diverse teams.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact through data-driven strategies.
- Qualifications: 3-5 years in data analytics, strong analytical skills, and proficiency in BI tools.
- Other info: Mentorship opportunities and a collaborative environment for career development.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to be made. Interpath is agile, independent, and conflict-free, and our passion for doing what\’s right, every time, sets us apart. Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030, we aim to be one of the world\’s leading advisory firms with a truly global footprint.
Interpath is seeking a motivated and detail-oriented Assistant Manager in Data Analytics to join our growing Data Analytics team. As part of the Data & Technology consulting group, you will play a vital role in delivering comprehensive analytics solutions that drive insights and decision-making for our clients. The ideal candidate will possess a strong analytical background and excellent technical skills, combined with the ability to effectively communicate findings and collaborate with both clients and team members. You will support the development of data-driven strategies and execution of analytics projects across various sectors.
Responsibilities
- Support the management of data analytics projects from inception to completion, ensuring timely delivery and quality outcomes.
- Assist in developing analytical methodologies and frameworks for client engagements.
- Contribute to the design and implementation of dashboards and reporting solutions, providing actionable insights.
- Collaborate with cross-functional teams to gather data requirements and ensure accurate data collection.
- Conduct data analysis to identify trends, patterns, and opportunities for improvement.
- Help prepare presentations and reports for clients, effectively communicating results and strategic recommendations.
- Mentor and support junior analysts within the team in their development.
Qualifications
- 3-5 years of experience in data analytics, preferably in a consulting or advisory context.
- University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Proficiency in BI tools such as Power BI, Qlik, or Tableau.
- Solid understanding of SQL for data extraction and manipulation.
- Familiarity with programming languages such as Python or R for data analysis.
- Experience with statistical analysis methodologies and data visualization techniques.
- Ability to communicate complex data insights clearly and effectively to stakeholders.
- Demonstrated experience in managing projects and collaborating with cross-functional teams.
- Passion for data analytics and eagerness to learn and develop new skills.
Advantageous competencies (but not essential)
- Exposure to cloud technologies (e.g., AWS, Azure).
- Familiarity with data governance and data management best practices.
- Experience in client-facing roles and delivering presentations.
Benefits
Benefits: At Interpath, our people lie at the heart of our business. We provide employees with a competitive and comprehensive reward package including compelling salaries and a range of core and optional benefits. Read more about our benefits.
Unsolicited Resumes from Third-Party Recruiters: Please note that Interpath do not accept unsolicited resumes from third-party recruiters. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Interpath will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
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Assistant Manager, Data Analytics employer: Interpath Advisory
Contact Detail:
Interpath Advisory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Manager, Data Analytics
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even hit up LinkedIn. The more you engage with others, the better your chances of landing that Assistant Manager role at Interpath.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your analytical skills and experience with BI tools. Share specific examples of how you've used data to drive insights and decision-making in past projects.
✨Prepare for the Interview
Do your homework on Interpath and its services. Be ready to discuss how your background in data analytics aligns with their goals. Practise common interview questions and think about how you can demonstrate your problem-solving skills.
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in joining the team and makes it easier for us to track your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Assistant Manager, Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Assistant Manager, Data Analytics role. Highlight your relevant experience in data analytics and any specific tools you've used, like Power BI or SQL. 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 analytics and how you can contribute to our team. Be sure to mention any projects you've managed and how they relate to the responsibilities listed in the job description.
Showcase Your Analytical Skills: In your application, don't just list your skills—show us how you've used them! Include examples of how you've conducted data analysis or developed dashboards that led to actionable insights. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Interpath!
How to prepare for a job interview at Interpath Advisory
✨Know Your Data
Make sure you brush up on your data analytics skills before the interview. Familiarise yourself with BI tools like Power BI, Qlik, or Tableau, and be ready to discuss how you've used them in past projects. This will show that you're not just a theoretical candidate but someone who can apply their knowledge practically.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data problems in previous roles. Think about specific challenges you faced, the methodologies you employed, and the outcomes. This will demonstrate your analytical prowess and ability to deliver results, which is crucial for the Assistant Manager role.
✨Communicate Clearly
Since you'll need to convey complex data insights to clients and team members, practice explaining your findings in simple terms. Use visuals or mock presentations to illustrate your points. This will highlight your communication skills and your ability to make data accessible to non-technical stakeholders.
✨Be a Team Player
Interpath values collaboration, so be prepared to discuss how you've worked with cross-functional teams in the past. Share experiences where you gathered data requirements or mentored junior analysts. This will show that you understand the importance of teamwork in delivering successful analytics projects.
