PEI Group is a subscriber-focused business intelligence company founded in 2001 that focuses on private investment markets in real estate, infrastructure, private equity, private debt, and specialist sector-specific activities within private asset classes.
We provide industry-leading journalism, data, and market insight to subscribing clients via a wide portfolio of specialist brands supported by our robust and scalable digital publishing, analytics, and database platform. With our multi-talented global team of over 400 people spread across EMEA, USA & Asia, our purpose is to inform and connect investment professionals across global, specialised markets.
As a Senior Data Analyst, you will play a crucial role in organising, analysing, and optimising our data infrastructure. Your primary responsibilities will include building and maintaining a comprehensive data catalogue, ensuring data quality, and collaborating with cross-functional teams to enhance our data platform capabilities. This role requires a strong analytical mindset, attention to detail, and a deep understanding of data governance principles.
Roles and responsibilities:
- Requirements Definition
- Collaborate with stakeholders from various departments (e.g., marketing, sales, business intelligence) to understand their data needs.
- Define and document requirements for expected datasets, specifying data elements, formats, security, access, and quality standards.
- Verify the accuracy, completeness, and reliability of source data
- Present proposed requirements and transformations for stakeholder review.
- Data Modeling
- Design and implement data models to represent and structure information for efficient storage and retrieval.
- Develop dimensional data models for analytics and reporting purposes, ensuring scalability and flexibility.
- Data Flow Mapping
- Create detailed data flow diagrams to illustrate the movement of data across systems and processes.
- Identify dependencies, transformations, and potential bottlenecks in data flows to optimise efficiency.
- Develop comprehensive mappings of current data flows, highlighting pain points, redundancies, and opportunities for optimization.
- Data Catalog Management
- Maintain and update data catalogues containing metadata descriptions of available datasets.
- Ensure data catalogue accuracy and relevance by documenting changes and additions to datasets.
- Issue Identification and Resolution
- Proactively identify data issues, anomalies, and opportunities for improvement through rigorous analysis.
- Collaborate with relevant teams to resolve data quality issues and optimise data processes.
- Document instructions for both manual interventions and automated solutions, promoting consistency and efficiency in problem-solving.
- Reporting and Visualisation
- Present findings and insights to stakeholders in a clear and visually appealing manner.
- Cross-functional Collaboration
- Work closely with data engineers, data scientists, and other stakeholders to ensure alignment on data initiatives and projects.
- Communicate effectively with non-technical stakeholders, translating complex technical concepts into understandable language.
Key Requirements:
- 5+ years’ experience in a Data Analyst role as part of a transformation project or as a member of a data engineering or data science delivery team.
- 5+ years experience with data analysis tools and reporting, also experience with RDBMS and dimensional data modelling.
- 5+ years experience with SQL for data analysis, querying, and manipulation.
- Experience in identifying and defining requirements and turning them into functional requirements that address complex analytical challenges.
- Experience in solving data analytics problems and effectively communicating results and methodologies
- Knowledge of data, master data and metadata-related standards, processes and technologies
- Knowledge of (SDLC) methodologies (Agile methodology experience preferable).
- Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels.
- Ability to work independently and manage multiple tasks and priorities in a dynamic environment.
- Knowledge of alternative assets will be a plus.
