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- Tasks: Transform data into strategic insights that drive business success and enhance sales effectiveness.
- Company: Join a dynamic team at a leading company in Business Intelligence.
- Benefits: Competitive salary up to £65k, benefits, and a collaborative work environment.
- Why this job: Make a real impact on business decisions and shape the future of virtual selling.
- Qualifications: 5+ years in Business Intelligence or Data Analysis with advanced Excel and ETL skills.
- Other info: Opportunity to work with global teams and grow your analytics capabilities.
The predicted salary is between 52000 - 78000 £ per year.
Job Overview
Job Title: Business Intelligence Data Analyst
Location: Middlesex
12 Month Contract
Salary up to £65k + Benefits
Job Type: Full-time
Department: Sales Operations / Business Analytics
Are you passionate about transforming data into strategic insights that drive business success? We are looking for a Business Intelligence Data Analyst to support our Global Virtual Sales (GVS) team across EMEA. This role enables data-driven decision-making that maximizes sales effectiveness and enhances operational efficiency. You will collaborate with cross-functional teams to analyze complex datasets and deliver actionable insights that influence the Sales Go-to-Market strategy and virtual selling initiatives.
Responsibilities
- Enable and support data-driven decision-making across sales operations to enhance productivity and revenue growth.
- Conduct advanced analysis of complex datasets spanning sales, operations, marketing, and planning.
- Design and develop reports and dashboards to track performance, identify trends, and uncover growth opportunities.
- Collaborate with global and regional teams to ensure business continuity and alignment across functions.
- Work with data engineering and IT teams to integrate, clean, and optimize data pipelines and analytical tools.
- Partner with internal Business Intelligence groups to evolve Cisco\’s analytics capabilities, specifically within the virtual sales ecosystem.
- Translate business questions into analytical problems and provide data-backed recommendations.
Minimum Qualifications
- 5+ years of experience in a Business Intelligence, Data Analyst, or Applied Analytics role.
- Proven ability to analyze and interpret complex data to deliver clear insights and strategic recommendations.
- Exceptional attention to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities.
- Advanced Excel skills, including pivot tables, formulas, and data modeling.
- Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep).
- Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo.
Preferred Qualifications
- Experience in sales operations or go-to-market strategy analytics.
- Knowledge of CRM systems like Salesforce.
- Familiarity with SQL, Python, or R for data manipulation and analysis.
- Experience working in a large-scale enterprise environment with cross-functional global teams.
People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Additional Job Details
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Information Technology
- Industries: Staffing and Recruiting
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Data Analyst, Business Intelligence Data Analyst employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Business Intelligence Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills with a portfolio! Create a few case studies or projects that highlight your ability to turn data into insights. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst, Business Intelligence Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Data Analyst role. Highlight your experience with data analysis, reporting, and any relevant tools like Tableau or Excel. We want to see how your skills align with 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 and how you can contribute to our Global Virtual Sales team. Be sure to mention specific projects or experiences that showcase your analytical skills.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with ETL tools, data visualisation platforms, and any programming languages you know. We love seeing candidates who are hands-on with their data!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Experis UK
✨Know Your Data Tools
Make sure you brush up on your skills with ETL tools like Alteryx or Tableau Prep, as well as data visualisation platforms such as Tableau or Power BI. Be ready to discuss how you've used these tools in past roles to derive insights from complex datasets.
✨Understand the Business Context
Familiarise yourself with the sales operations and go-to-market strategies relevant to the company. This will help you translate business questions into analytical problems during the interview, showcasing your ability to provide actionable insights.
✨Prepare for Technical Questions
Expect questions that test your analytical thinking and problem-solving skills. Brush up on SQL, Python, or R, and be prepared to explain how you've used these languages to manipulate and analyse data in previous projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you’ve contributed to team success through data-driven decision-making.