Data and Reporting Analyst
Data and Reporting Analyst

Data and Reporting Analyst

Manchester Full-Time 34000 - 46000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data, generate reports, and provide insights to support decision-making.
  • Company: Join a dynamic financial services team in Manchester.
  • Benefits: Competitive salary, flexible work, and opportunities for professional growth.
  • Why this job: Make an impact by transforming data into actionable insights.
  • Qualifications: Bachelor's degree in relevant field and 2-3 years of data analysis experience.
  • Other info: Collaborative environment with a focus on process improvement and innovation.

The predicted salary is between 34000 - 46000 £ per year.

Job Description

Data and Reporting Analyst- Financial Services

£40K-£50K

2 days a week in Manchester

Our Client are seeking a highly motivated and detail-oriented Data and Reporting Analyst to join their dynamic team within the collections and debt purchase environment. The successful candidate will be responsible for analysing data, generating reports, and providing insights to support decision-making processes. This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively in a fast-paced and busy team setting.

Key Responsibilities:

  • Data Analysis:  Collect, analyse, and interpret data related to collections, recoveries, and debt purchase activities. Identify trends, patterns, and anomalies to provide actionable insights.
  • Reporting: Develop and maintain regular reports and dashboards to track key performance indicators (KPIs) and metrics. Ensure accuracy and timeliness of all reports. Create new Tableau reports to monitor collections performance.
  • Data Management: Maintain and update databases, ensuring data integrity and accuracy. Work with IT and other departments to improve data collection and storage processes.
  • Stakeholder Collaboration: Work closely with the UK Operations Team, Investment Team, and other stakeholders to understand their data needs and provide relevant insights.
  • Process Improvement: Identify opportunities for process improvements and automation within the data analysis and reporting functions. Implement best practices to enhance efficiency and effectiveness.
  • Compliance: Ensure all data analysis and reporting activities comply with relevant regulations and company policies.
  • Ad Hoc Analysis: Perform ad hoc data analysis and reporting as requested by management or other departments. Provide insights and recommendations based on the analysis.
  • Data Visualization: Create and maintain data visualizations to effectively communicate complex data insights to non-technical stakeholders. Use tools such as Tableau, Power BI, or similar.
  • Trend Analysis: Conduct trend analysis to identify potential risks and opportunities within the collections and recoveries and debt purchase environment. Provide recommendations based on findings.
  • Performance Monitoring: Monitor the performance of collections strategies and debt purchase activities. Provide regular updates and insights to management.
  • Training and Support: Provide training and support to team members on data analysis tools and techniques. Assist in developing data literacy within the department.
  • Documentation: Maintain thorough documentation of data analysis processes, methodologies, and findings. Ensure all documentation is up-to-date and accessible.
  • Project Participation: Participate in cross-functional projects and initiatives, providing data analysis and reporting support as needed. Collaborate with project teams to achieve project goals.
  • Quality Assurance: Conduct quality assurance checks on data and reports to ensure accuracy and reliability. Address any discrepancies or issues promptly.
  • Forecasting: Assist in developing forecasting models to predict future trends in collections, recoveries, and debt purchase activities. Provide insights to support strategic planning.

Key Requirements:

  • Education: Bachelor's degree in data science (preferred), Statistics, Finance, Business, or a related field.
  • Experience: Minimum of 2-3 years of experience in data analysis and reporting, preferably within the collections, recoveries, or debt purchase environment.

Data and Reporting Analyst employer: MERJE Ltd

Join a forward-thinking financial services firm in Manchester, where your analytical skills will be valued and nurtured. With a strong emphasis on employee development, a collaborative work culture, and the opportunity to make impactful contributions, this role as a Data and Reporting Analyst offers not just a job, but a pathway to a rewarding career. Enjoy competitive salaries, flexible working arrangements, and a supportive environment that encourages innovation and growth.
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Contact Detail:

MERJE Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data and Reporting Analyst

Tip Number 1

Network like a pro! Reach out to people in the financial services sector, especially those working as Data and Reporting Analysts. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!

Tip Number 2

Prepare for interviews by practising common questions related to data analysis and reporting. Think about how you can showcase your analytical mindset and communication skills. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 3

Show off your skills! Create a portfolio of your best data visualisations and reports. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews. Remember, visuals can speak louder than words!

Tip Number 4

Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.

We think you need these skills to ace Data and Reporting Analyst

Data Analysis
Reporting
Data Management
Stakeholder Collaboration
Process Improvement
Compliance
Ad Hoc Analysis
Data Visualization
Trend Analysis
Performance Monitoring
Training and Support
Documentation
Project Participation
Quality Assurance
Forecasting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data and Reporting Analyst role. Highlight your analytical skills and any relevant experience in data analysis, reporting, and financial services. We want to see how you can bring value to our team!

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 your skills align with our needs. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Tableau or Power BI. If you've got experience with data visualisation or trend analysis, let us know! We’re keen on candidates who can hit the ground running.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!

How to prepare for a job interview at MERJE Ltd

Know Your Data Tools

Make sure you're familiar with the data analysis tools mentioned in the job description, like Tableau and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past roles.

Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Think of examples from your previous experience where you identified trends or provided insights that influenced decision-making.

Showcase Your Communication Skills

Since this role involves collaborating with various stakeholders, practice explaining complex data insights in simple terms. Be prepared to demonstrate how you can effectively communicate findings to non-technical team members.

Highlight Process Improvement Experience

Be ready to discuss any instances where you've identified opportunities for process improvements in data analysis or reporting. Share specific examples of how your suggestions led to increased efficiency or better outcomes.

Data and Reporting Analyst
MERJE Ltd

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