Reporting Analyst - Leeds City Centre

Interface Recruitment UK
Leeds
2 weeks ago
Create job alert

Role:MI & Reporting Analyst
Education Requirements:Graduate Calibre
Industry:Professional Services / Financial Services
Job Location:2 Globe Road, Leeds, Ls11 5QG
Work Hours:9:00 to 5:00

PURPOSE & CONTEXT

The MI & Reporting Analyst is a critical role within the business. Reporting to the MI & Reporting Coordinator, the MI & Reporting Analyst provides and acts as a key enabling function of Operations Strategy. Management information is at the heart of all data analytics and it’s the core responsibility of the MI & Reporting Analyst.

The role holder’s main responsibility will be the creation and maintenance of reports. The reports are automated using Microsoft Excel, VBA & Visual Studio. The successful candidate will have experience and working knowledge of this software combined with Microsoft SQL. Additionally, the candidate will be expected to analyse portfolio performance, identify key trends, and report upon those findings.

You will be required to work on your own initiatives but more importantly, be part of a successful team. The ability to interact with colleagues and stakeholders at various levels is essential to ensure accurate report specifications have been understood and delivered.

Covering many aspects of the business operation, the reports will be viewed by both internal and external stakeholders. Therefore, the role requires significant attention to detail and management of big data sets within an ever-changing data environment, making this a very critical role within the business.

Skills & RESPONSIBILITIES

  • Responsible for documentation, maintenance, and production of end-to-end MI.
  • Attention to detail - Updating, producing, and checking for accuracy all existing data reports for external (clients) consumption. Adhering to submission of reports as specified by the clients.
  • Work with operational colleagues to review and report trends and potential issues identified in management information that have a direct impact on business objectives and ensure changes in collections strategy do not leave any unidentified gaps in the process (portfolio and process tracking capabilities).
  • Production of Operational MI in a simple and user-friendly format via the production of business MI dashboards (SSRS).
  • Work with reporting and IT colleagues to share best practice and fully utilise the functionality and reporting capabilities of the organisation.
  • Development and Maintenance of a change control database for tracking changes across all MI reporting processes.
  • Significant ad hoc production of analysis and bespoke MI is required as a part of the role, mainly driven by strategy changes and client requirements.
  • In addition to producing MI, significant analysis of the MI is required ensuring information is presented in an easily read and understood format.

SKILLS/KNOWLEDGE & EXPERIENCE

  • Experience in the finance industry is ideal but not essential.
  • Excellent data sourcing and manipulation skills with advanced proficiency in SQL, VBA programming, SSIS, SSRS.
  • Understanding of P&L drivers from an MI perspective in a credit environment and specifically within Collections & Recoveries.
  • Analytical clear thinking mindset with the ability to understand data from multiple sources and to draw conclusions facilitating change and continuous improvement objectives.
  • Ability to deal with multiple areas of work and competing priorities.
  • Confident data-driven decision-making capabilities.
  • Track record of being results-oriented with a view to meet and exceed business appetite for Analysis and MI.
  • Experience of working cross-functionally with all management levels.
  • Demonstrate confidence in presenting constructive feedback and challenges at Team Leader and Management level.
  • Excellent communication skills with target audience alignment of the messages.

PERSONAL ATTRIBUTES

  • Highly numerate with a graduate degree or relevant experience and a good understanding of advanced analytical techniques.
  • A self-starter, with the ability to communicate effectively and build working relationships both within the team and wider group.
  • Logical and practical approach to problem-solving and resolution.
  • Attention to detail and accuracy.
  • Target and results-driven.
  • ‘Can do attitude’ within a fast-paced and continuously changing environment.
  • Flexibility in working hours to meet business requirements.
  • Excellent time management skills and ability to meet targets in a fast-paced and conflicting priorities environment.
  • Confident decision-maker with demonstrable negotiation skills.
  • Leading by example, motivating and influencing continuous data-driven and logical change mind-set.

KEY RELATIONSHIPS

This job requires extensive cross-functional engagement and relationships. Highlighted below are some of the key relationships that the MI & Reporting Analyst is expected to maintain strong working relationships across all the functions:

  • MI & Analytics Manager.
  • Client Relation Managers.
  • Collections Team Leaders.
  • Collections Managers.
  • Head of Collections.
  • Head of IT.

#J-18808-Ljbffr

Related Jobs

View all jobs

BI Reporting Analyst

Category Data Analyst

Technical Data Analyst

Lead Data Engineer

Regulatory Reporting Operations Analyst

Junior MI Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.