Data Analyst, West Midlands

tecnoempleo.com
West Midlands
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Data Engineer

DATA ANALYST / BI ANALYST (POWER BI) – North West London

Data Analyst SystmOne

Data Analyst SystmOne

Data Analyst
Job title: Data Analyst
Location : Warwick, UK (Hybrid- 2-3 days/week)
Type: Contract
Client: Wipro

About the Role:
We are seeking a detail-oriented and technically skilled Data Analyst to support our transition from an OpenText SaaS platform to a SharePoint-based data management solution. The ideal candidate will work closely with business stakeholders and technical teams to collate, catalogue, cleanse, and prepare business-critical data for migration. You will play a pivotal role in ensuring data integrity and successful migration through careful planning and coordination.

Key Responsibilities:

Data Collection Collation: Work with stakeholders to gather and consolidate structured and unstructured data from OpenText and other sources.
Data Cataloguing: Develop and maintain a data inventory to document metadata, ownership, and categorization of business content.
Data Cleansing Preparation: Analyze datasets for accuracy, completeness, and redundancy. Identify and resolve data quality issues in preparation for migration.
Migration Planning: Collaborate with IT teams to plan and coordinate the migration of data to SharePoint. Assist in developing mapping, validation, and transformation rules.

Documentation: Create detailed documentation of data processes, standards, and structures to support future data governance.
Stakeholder Communication: Act as a liaison between business units, IT, and external vendors to ensure alignment and clear understanding of migration objectives.
Reporting: Generate regular reports and dashboards to track progress, data quality metrics, and migration readiness.

Qualifications:

Proven experience as a Data Analyst, preferably in enterprise content management or system migration projects.
Strong understanding of data modelling, metadata management, and data lifecycle concepts.
Experience with SharePoint (Online or On-Premise) and familiarity with its data structure and permissions model.
Hands-on experience with OpenText or similar SaaS content platforms is a plus.
Proficiency in Excel, Power BI, or other data analysis and visualization tools.
Excellent analytical, communication, and stakeholder management skills.
Preferred Qualifications:
Experience in migration tools or scripting for data transformation (e.g., PowerShell, Python).
Knowledge of data governance and compliance frameworks.

Python, SharePoint, Power BI,

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.