Access Computer Consulting plc

Business Analyst - Infrastructure

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst - Infrastructure, offering a 6-month contract at an inside IR35 pay rate, based in London (hybrid, 3 days a week). Requires strong BA experience in IT infrastructure, asset data, and data mapping.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
City Of London, England, United Kingdom
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🧠 - Skills detailed
#Classification #Data Reconciliation #Data Ingestion #Business Analysis #Storage #Data Enrichment #Data Mapping #Data Analysis
Role description
Business Analyst Hybrid / 3 days week London Inside ir35 6 mths Key Skills & Experience Essential • Strong BA experience in IT infrastructure, CMDB or ITSM environments • Experience working with asset data, data models and reconciliation • Ability to define: • Requirements • Data mappings Key Responsibilities Data Model & Requirements • Define asset management requirements, including: • Asset coverage • Data attributes (e.g. ownership, lifecycle, backup status) • Reporting needs • Develop a standardised hardware taxonomy (device classification model) • Define the target CMDB data model and mandatory attributes Data Analysis & Reconciliation • Analyse asset data across: • Ivanti CMDB • SolarWinds • Other infrastructure sources • Lead data reconciliation activities across multiple systems • Identify gaps and define data enrichment approach Integration & Enrichment • Define data ingestion and mapping requirements • Support: • Attribute mapping • Discovery / SNMP-derived data alignment • Ensure consistency between source systems and Ivanti Desirable • Experience with Ivanti, ServiceNow CMDB or similar • Understanding of: • Infrastructure platforms (server, network, storage) • Discovery tools (e.g. SolarWinds) • Exposure to IT Asset Management / lifecycle management Key Characteristics • Outcome-driven, not process-heavy • Comfortable working in data-heavy environments • Able to work across multiple teams and drive delivery • Pragmatic and able to balance detail with pace