Data Analyst

Data Analyst

Posted 1 day ago by iXceed Solutions

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Negotiable
Undetermined
Hybrid
London Area, United Kingdom
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Business Analysis Business Process Data-Driven Decision-Making Data Architecture Data Governance Datamodel Data Modeling Data Quality Data Structures Data Vault Modeling Erwin (Data Modeling Software) Non-Relational Data Stores Object Model PowerDesigner Requirements Elicitation Role-Based Access Control (RBAC) Salesforce Stakeholder Engagement Stakeholder Management Third Normal Form Usability

Summary: The Data Analyst role involves joining a data remediation team focused on simplifying the data model for a customized Salesforce implementation. The position requires collaboration with various stakeholders to improve data accuracy and standardize data structures, ultimately supporting data-driven decision-making. The contract is for 6 months with potential for extension, and the work arrangement is hybrid, requiring two days in the office. Candidates should possess strong data modeling skills and experience in stakeholder engagement.

Key Responsibilities:

  • Join a data remediation team to simplify the underlying data model for Salesforce.
  • Attend workshops with technical and non-technical stakeholders to understand requirements and impacts.
  • Collaborate with Business Analysts and Architects to align business needs with target data models.
  • Reverse-engineer the current Salesforce object/field landscape and identify complexities.
  • Define a target data model and produce gap-analysis considering business impact.
  • Establish and inform data lineage, data dictionaries, taxonomies, and reference/master data.

Key Skills:

  • Proficiency in data modeling techniques (3NF star/snowflake, Data Vault 2.0) using modern tools.
  • Experience creating and maintaining data dictionaries, taxonomies, and reference/master data.
  • Strong communication and stakeholder engagement skills.
  • Exposure to relational and non-relational data stores and ETL/ELT patterns.
  • Experience in business analysis and requirement elicitation for data-centric changes.
  • Knowledge of data architecture best practices and data governance frameworks.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Title: Data Analyst

Contract duration: 6 months and will be extended further

Location: London Hybrid, 2 days WFO

The team/project

The RCMS project has been set up to help support the front line business units om the Salesforce platform . We are aiming to simplify the data and technology in order to have a more robust platform that is cheaper to support and develop. The data workstream is responsible for remediating one of our core data models, improving data accuracy, reducing data-related errors, and standardizing data structures to enable faster, lower-risk delivery and support the client’s data-driven decision making and strategic objectives.

What you will be doing (the role)

You will join a data remediation team tasked with simplifying the underlying data model for a heavily customized Salesforce implementation

Attending workshops with various technical and non-technical stakeholders to understand the current landscape, including requirements, drivers, and impacts

Collaborating with Business Analysts and Architects to ensure business needs align with target data models, lineage and documented metadata

Reverse-engineering the current Salesforce object/field landscape, usage patterns, and data flows; identifying duplication, anti-patterns, and complexities

Defining a target data model aligned to business processes, produce gap-analysis from the as-is to to-be with a consideration for business impact

Establish and inform data lineage, data dictionaries, taxonomies and reference/master data

What you will get from the role

We are looking for Data Analysts with experience of complex problem analysis; requirements capture and refinement

You will be looking for an opportunity to work with senior business stakeholders to understand, scope and interpret strategic business change into data concepts which can then shape the broader data landscape

You will have the chance to materially improve the reliability and usability of a business-critical Salesforce platform and it’s upstream/downstream consumers

You will be a key contributor to the data remediation effort. You will make a substantial and valued contribution to the client in a role that offers great challenges in the immediate future and as the client develops

The skills and experience you will have

Minimum Criteria

  • Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools ( Erwin, Power Designer, Sparx EA ) and version control
  • Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance
  • Experience working with internal customers to define data-relevant use cases and success criteria
  • Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences

Desirable Criteria

  • Exposure to relational and non-relational data stores; Data Warehouse/ Lakehouse concepts; ETL/ELT patterns and tools
  • Experience in business analysis and requirement elicitation for data-centric changes; translating business needs into data models
  • Experience with documenting/implementing data lineage (e.g., via Solidatus) and impact analysis
  • Knowledge of data architecture best practices
  • Proven ability to document the current-state ("as-is") and define the future state ("to-be") processes and perform gap analysis
  • Exposure to data governance frameworks (e.g., DAMA DMBOK) and practical rules (e.g., data quality rules)
  • Familiarity with privacy/security-by-design concepts (handling PII, data minimization, RBAC)
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