Data Analyst
Posted 1 day ago by iXceed Solutions
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role involves joining a data remediation team focused on enhancing the data model of a customized Salesforce implementation. The position requires collaboration with technical and business stakeholders to define and improve data structures, ensuring alignment with business processes. The analyst will also be responsible for identifying data issues and establishing a reliable data foundation to support strategic objectives. This role offers the opportunity to work on complex data challenges within a critical business environment.
Key Responsibilities:
- Join a data remediation team responsible for simplifying Salesforce data models.
- Participate in workshops with technical and non-technical stakeholders to understand requirements, drivers, constraints, and business impacts.
- Collaborate with Business Analysts and Architects to ensure business needs align with target data models, lineage, and metadata.
- Reverse-engineer existing Salesforce objects, fields, usage patterns, and data flows.
- Identify data duplication, anti-patterns, and unnecessary complexity.
- Define target (“to-be”) data models aligned to business processes.
- Perform gap analysis between current (“as-is”) and target states, considering business impact.
- Establish and maintain data lineage, data dictionaries, taxonomies, and reference/master data.
Key Skills:
- Strong proficiency in data modelling techniques, including 3NF, Star/Snowflake schemas, and Data Vault 2.0.
- Hands-on experience with modern data modelling tools such as Erwin, Power Designer, or Sparx EA, including version control.
- Experience creating and maintaining data dictionaries, taxonomies, and reference/master data.
- Experience working with internal stakeholders to define data-related use cases and success criteria.
- Excellent communication and stakeholder engagement skills, with the ability to communicate effectively with both technical and non-technical audiences.
- Exposure to relational and non-relational data stores.
- Understanding of data warehouse and lakehouse concepts.
- Experience with ETL/ELT patterns and tools.
- Background in business analysis and requirements elicitation for data-centric initiatives.
- Experience documenting and implementing data lineage and impact analysis (e.g., Solidatus).
- Knowledge of data architecture best practices.
- Proven ability to document “as-is” and define “to-be” processes.
- Exposure to data governance frameworks (e.g., DAMA DMBOK).
- Understanding of data quality rules and governance practices.
- Familiarity with privacy and security-by-design principles (PII handling, data minimisation, RBAC).
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Data Analyst
Location: London, UK
Work Mode: Hybrid – 2 days onsite per week
Contract Duration: 6-12 Months
Project Overview
The RCMS project supports frontline business units on the Salesforce platform , with a focus on simplifying data and technology to create a more robust, cost-effective, and scalable solution. The Data Workstream plays a critical role in remediating a core data model, improving accuracy, reducing data-related errors, and standardizing data structures to enable faster, lower-risk delivery while supporting data-driven decision-making and strategic objectives.
Role Overview
As a Data Analyst , you will join a data remediation team focused on simplifying and improving the underlying data model of a heavily customized Salesforce implementation. You will work closely with technical and business stakeholders to understand the current state, define the target data model, and support the delivery of a cleaner, more reliable data foundation.
What You’ll Gain from the Role
Opportunity to work on complex data problems within a business-critical Salesforce platform. Direct engagement with senior business stakeholders to translate strategic change into data concepts. A key role in improving data reliability, usability, and governance across upstream and downstream systems. A challenging and rewarding position with high visibility and long-term impact.
Required Skills & Experience (Minimum Criteria)
- Strong proficiency in data modelling techniques , including: 3NF Star/Snowflake schemas Data Vault 2.0
- Hands-on experience with modern data modelling tools such as Erwin, Power Designer, or Sparx EA , including version control.
- Experience creating and maintaining: Data dictionaries Taxonomies Reference and master data
- Experience working with internal stakeholders to define data-related use cases and success criteria.
- Excellent communication and stakeholder engagement skills, with the ability to communicate effectively with both technical and non-technical audiences.
Desirable Skills & Experience
- Exposure to relational and non-relational data stores .
- Understanding of data warehouse and lakehouse concepts .
- Experience with ETL/ELT patterns and tools .
- Background in business analysis and requirements elicitation for data-centric initiatives.
- Experience documenting and implementing data lineage and impact analysis (e.g., Solidatus).
- Knowledge of data architecture best practices .
- Proven ability to document “as-is” and define “to-be” processes.
- Exposure to data governance frameworks (e.g., DAMA DMBOK).
- Understanding of data quality rules and governance practices.
- Familiarity with privacy and security-by-design principles (PII handling, data minimisation, RBAC).