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For Companies At a Glance
- Tasks: Analyse data, create dashboards, and drive decision-making with insights.
- Company: Join a leading Project Controls firm committed to diversity and innovation.
- Benefits: Enjoy a hybrid work model and competitive salary of £50/55,000.
- Why this job: Be part of a dynamic team that values collaboration and continuous improvement.
- Qualifications: 2-5 years in data analysis; strong Power BI skills required.
- Other info: Connect with Marion Keating for more details and application.
The predicted salary is between 42000 - 58000 £ per year.
London/Hybrid
Full time permanent role
Salary £50/55,000 (DOE)
We are looking for a highly skilled and motivated Reporting Analyst to join our dynamic team. The ideal candidate will have a strong background in data analytics, with proficiency in Power BI. The Data Analyst will be responsible for analyzing complex datasets, creating insightful dashboards, and developing automated solutions to drive data-driven decision-making across the organization.
Key Responsibilities:
- Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights to support strategic decision-making.
- Dashboard Development: Design and develop interactive dashboards and visualizations using Power BI to communicate findings effectively to stakeholders.
- Data Quality & Integrity: Ensure data accuracy and consistency across all reports, dashboards, and analytical outputs.
- Collaboration: Work closely with cross-functional teams, including finance, marketing, operations, and IT, to understand data requirements and deliver actionable insights.
- Continuous Improvement: Identify opportunities to improve data analysis processes and tools and implement innovative solutions.
Qualifications:
- 2-5 years of experience in a data analysis or similar role.
- Strong proficiency in Power BI for data visualization and dashboard creation.
- Excellent analytical and problem-solving skills with attention to detail.
- Strong communication skills and the ability to present complex data insights to non-technical stakeholders.
Preferred Skills:
- Expertise in Power BI for complex data visualization and report creation.
- Proficient in creating and managing custom applications using Power Apps to automate business processes.
- Familiarity with data visualization best practices to ensure clear and effective communication of insights.
- Understanding of data modeling techniques to support the creation of efficient, scalable analytical solutions.
Personal Attributes:
- Analytical mindset: Able to think critically and approach data with curiosity and rigor.
- Detail-oriented: Thorough in ensuring data accuracy and quality.
- Collaborative: Comfortable working in a team environment and across departments.
- Self-motivated: Able to work independently and manage multiple tasks simultaneously.
- Adaptable: Willing to learn new tools and technologies as needed.
PACE is Disability Confident Committed and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristics. We believe in fostering a culture where everyone can bring their unique strengths and perspectives to the table.
Reporting Anlayst (Project Controls) employer: Pace Advisory Ltd
Contact Detail:
Pace Advisory Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reporting Anlayst (Project Controls)
✨Tip Number 1
Familiarise yourself with Power BI and its advanced features. Since the role specifically requires proficiency in Power BI for dashboard creation, consider taking online courses or tutorials to enhance your skills and showcase your expertise during interviews.
✨Tip Number 2
Prepare examples of your previous work that demonstrate your ability to analyse complex datasets and create insightful dashboards. Being able to discuss specific projects where you identified trends and provided actionable insights will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who have experience in project controls. Engaging with industry peers can provide valuable insights into the role and may even lead to referrals or recommendations.
✨Tip Number 4
Demonstrate your collaborative skills by preparing to discuss how you've worked with cross-functional teams in the past. Highlighting your ability to communicate complex data insights to non-technical stakeholders will show that you're a great fit for the team-oriented environment at StudySmarter.
We think you need these skills to ace Reporting Anlayst (Project Controls)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and proficiency in Power BI. Use specific examples of how you've used these skills in previous roles to demonstrate your suitability for the Reporting Analyst position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and attention to detail. Mention your ability to present complex data insights clearly, as this is crucial for the role. Tailor it to reflect your understanding of the company's needs and how you can contribute.
Highlight Relevant Experience: In your application, emphasise any experience you have with dashboard development and data quality assurance. Provide examples of projects where you collaborated with cross-functional teams to deliver actionable insights.
Showcase Continuous Improvement Initiatives: Mention any instances where you've identified opportunities for process improvements in data analysis or reporting. This will demonstrate your proactive approach and commitment to enhancing efficiency within the organisation.
How to prepare for a job interview at Pace Advisory Ltd
✨Showcase Your Power BI Skills
Since the role requires strong proficiency in Power BI, be prepared to discuss your experience with it. Bring examples of dashboards you've created and be ready to explain your design choices and how they helped communicate insights.
✨Demonstrate Analytical Thinking
Highlight your analytical mindset by discussing specific instances where you identified trends or patterns in data. Use real-life examples to illustrate how your insights led to strategic decision-making.
✨Prepare for Collaboration Questions
As the role involves working closely with cross-functional teams, think of examples that showcase your collaborative skills. Be ready to discuss how you’ve worked with different departments to gather data requirements and deliver actionable insights.
✨Emphasise Continuous Improvement
The company values innovation, so come prepared with ideas on how you could improve data analysis processes. Discuss any tools or techniques you've implemented in the past that enhanced efficiency or data quality.
