Data Analyst

Alphadog Recruit
Sheffield
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Please note that these qualifications or experience within Data Migrations of D365 are essential for this role, as stipulated by our client.


Applications that do not meet these criteria will not receive a response.


Data Migration Technical Analyst D365


Our client is a small yet growing data migration consultancy that is currently a D365 Data Migration Technical Analysts due to an influx of new contracts.

Prior experience working within in data migration team and in particular experience of migrating D365 is essential.

The company is committed to providing training to enhance your core skills, enabling your growth into the role of a Data Migration Technical Analyst.

As a Data Migration Technical Analyst, you will be expected to possess the technical capability to extract, transform, and load data using predefined methodologies and tools. You will have the opportunity to work alongside our highly experienced consultants, gaining valuable insights into data migration practices and various ERP systems. In addition to your technical expertise, strong analytical skills are essential, as you will need to engage with clients to identify data cleansing tasks and establish field mapping rules. Familiarity with general business processes and system data structures will significantly benefit the core data migration team.

Main Responsibilities

  • Attain comprehensive understanding of the project's data scope, focusing specifically on the detailed scope of your assigned data process area.
  • Develop extraction processes from legacy systems to enable access to raw legacy data.
  • Consult with clients regarding known data issues.
  • Perform data analysis to pinpoint gaps and potential issues, quantifying these alongside known data concerns.
  • Create Data Quality reporting tools aligned with company standards to help users identify and rectify legacy data problems.
  • Collaborate with external System Implementation Consultants to understand how data is imported into the new system, including dependencies or constraints and linkage to system configuration.
  • Conduct mapping sessions with clients to determine how legacy data needs transformation for integration into the new system.
  • Document data issues, gaps, mappings, required business rules, and risks according to company standards, validating this documentation with stakeholders and key users.
  • Develop T-SQL transformation code that meets company standards.
  • Export target data in the required format for loading into the new system.
  • Import transformed data into the new system, resolving any loading errors.
  • Approve the export of newly imported data, ensuring it meets expectations.
  • Investigate and resolve any reconciliation issues or testing bugs related to the data.
  • Provide data extracts as necessary to assist users with reconciliation and testing tasks.

Skills and Experience

Essential Skills, Technologies & Experience:

  • Proficiency in Microsoft SQL Server (2017 and later)
  • Experience of D365 migrations
  • Strong knowledge of SSMS
  • Experience with relational database DDL and DML
  • Advanced T-SQL programming skills
  • Familiarity with T-SQL performance tuning
  • Excellent client-facing communication skills
  • Strong analytical mindset with meticulous attention to detail
  • Commitment to coding and documentation standards
  • Ability to work independently while meeting strict deadlines

Desirable Skills & Technologies (not essential):

  • Exposure to ERP-level or similar data migration projects
  • Familiarity with SSIS (SQL Server Integration Services)
  • Proficient in MS Visual Studio
  • Competence in MS Office, particularly Excel, Word, and SharePoint
  • Understanding of common business system areas (e.g., Finance, Supply Chain, CRM, HRMS, Marketing Systems)
  • Experience in technical team leadership
  • Report building skills, e.g., PowerBI

General Competency

The ideal candidate will be versatile, equally adept at technical work and client-facing analysis. They should rapidly comprehend problems and propose practical alternatives, assessing benefits to recommend solutions effectively. A sense of ownership over their work and a proactive attitude in tackling challenges are crucial. Experience collaborating with business stakeholders to set priorities and resolve issues, along with a comprehensive understanding of IT's role in client business processes, is essential. The candidate should excel in a dynamic environment, take pride in their work, and strive for excellence.

Although the role is remote there will be a need to travel to Reading 3 to 4 times a year for team meetings, normally followed by a social event the next day.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.