Senior Data Analyst

Role & responsibilities

Senior

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.

Preferred candidate profile

• 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.

Good to have:

• Experience in dashboard visualisation tools such as 

  Tableau, Databricks Notebooks/Dashboards or Power BI

  is good to have

  .