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Junior Data Analyst

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Xeinadin
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Vacancy Information

Vacancy Name Junior Data Analyst

Vacancy No VN1926

Employment Type Permanent

Duration N/A

Location City Manchester

Location Country United Kingdom

Company Description

Xeinadin was established in 2019 when a number of leading business advisory and accountancy practices across the UK and Ireland came together to re-imagine the future of accountancy. Our collective mission to provide locally forged, trusted business advice to SMEs through forward-thinking, close-knit relationships remains pivotal to our growth. It's our people who drive our business forward, and we offer them future-focused career opportunities whilst supporting individual specialisms.

Our regional offices of over 3000 colleagues operate collaboratively, combining collective expertise to maximise potential.

Description

We are seeking a detail-oriented and motivated Junior Data Analyst to support data analysis, data quality, and data migration activities across the business. This role is ideal for someone early in their data career who is keen to build practical experience using Power BI and the Microsoft Power Platform.

The role will involve extracting and transforming data, mapping and cleansing data for system migrations, and supporting business intelligence solutions, ensuring data accuracy and consistency throughout.

Key Responsibilities
  • Extract data from accountancy and operational systems
  • Map source system fields to target system structures and document mappings
  • Cleanse, standardise, and prepare data for upload into new systems
  • Perform data quality assessments and validation checks
  • Support test loads, reconciliations, and issue resolution during migrations
  • Prepare and transform data using Power Query for use in Power BI
  • Support the development and maintenance of Power BI datasets, reports, and dashboards
  • Ensure data models are accurate, well-structured, and performant
  • Assist in validating reports against source systems to ensure accuracy
  • Support refresh schedules and investigate data refresh issues
  • Support the use of Power Platform tools (Power BI, Power Automate, Power Apps) to improve data visibility and efficiency
  • Assist with basic Power Automate flows for data movement, validation, or alerts
  • Work with SharePoint lists or Dataverse as data sources where required
  • Help document Power Platform solutions and data processes
Key Requirements
  • Comfortable working with large datasets and structured data
  • Strong interest in Power BI, Power Platform, and business intelligence
  • Experience with accountancy or finance systems (Sage, Xero, CCH, IRIS)
  • Experience transforming data using Excel and/or Power Query
  • High attention to detail with a focus on data accuracy and quality
  • Ability to document data mappings, transformations, and processes
  • Clear communication skills when working with technical and non-technical users
Additional Requirements
  • Hands‑on experience with Power BI (datasets, reports, visuals)
  • Basic experience with Power Query (M) or SQL
  • Exposure to Power Automate or Power Apps
  • Familiarity with Microsoft 365, SharePoint, and Teams
  • Curious and keen to learn modern BI tools
  • Methodical and detail-focused
  • Comfortable working within defined governance frameworks
  • Proactive in improving data quality and reporting
  • Collaborative and reliable
  • Degree (or working towards a degree) in Data Analytics, Finance, Mathematics, Computer Science, or a related field, or equivalent practical experience
Model

Hybrid

Salary

Competitive

Benefits

Benefits

  • Company Pension Scheme
  • 25 days of annual leave + bank holidays
  • Additional annual leave days from certain levels of seniority
  • Ability to buy up to 5 days of annual leave to reach a maximum of 30 days per annum
  • Business closure over Christmas*
  • Life Assurance x4 annual salary
  • Enhanced family leave policies
  • Enhanced Company Sick Pay
  • Employee Assistance Programme – 24/7 support, free and confidential
  • Corporate Discounts Platform

Flexible Benefits platform with ability to opt‑in to various insurances (level of seniority dependent & self‑funded at corporate rates) such as:

  • PMI single or family
  • Critical Illness Cover
  • Cash plan
  • Cycle to work
  • Eye care
  • Dental
  • subject to exceptions and business needs
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