Role Overview
Company: Natobotics
Title: Data Analyst
Location: London, United Kingdom
Contract: 6‑month contract, hybrid (2 days WFO)
Experience: 5+ years
Project: RCMS data remediation for Salesforce platform.
Responsibilities
* You will join a data remediation team tasked with simplifying the underlying data model for a heavily customised 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’ll Get
* 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
Minimum Skills & Experience
* Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, 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 Skills
* 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 minimisation, RBAC)
Job Details
* Seniority level: Mid‑Senior
* Employment type: Contract
* Job function: Information Technology
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