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- Tasks: As a Data Analyst, you'll validate and merge data, ensuring quality and supporting business needs.
- Company: PURVIEW is an innovative IT services company based in Glasgow, focused on data solutions.
- Benefits: Enjoy hybrid work flexibility with three days in the office and competitive contract terms.
- Why this job: Join a dynamic team where your data skills can make a real impact in the tech industry.
- Qualifications: Experience with Python, SQL, and data management tools is essential; we value talent over strict qualifications.
- Other info: This role is perfect for mid-senior level candidates looking to grow in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
PURVIEW Glasgow, Scotland, United Kingdom
Data Analyst
PURVIEW Glasgow, Scotland, United Kingdom
1 week ago Be among the first 25 applicants
Direct message the job poster from PURVIEW
Role : Data Analyst
Location : Glasgow
Type of work: hybrid work (3 days in a week)
Mode of work: Contract
Job Description:
Our company is searching for experienced candidates for the position of technical data analyst. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for technical data analyst
- Primary skills : Data, Python, pyspark
- Experience working with enterprise Master Data Management tools to validate, match, and merge various master data sources into a common view
- Experience with data cleansing and validation processes and technologies
- Master Data Management tools, technologies and the latest trends
- Produce all technical deliverables to be consumed by modelers, developers, and design documents for projects
- Query and profile the data for data quality and ensure it provides what is required and perform data analysis to support the Business
- Data Analysis & Design – Requirement Analysis, functional and technical specification development for projects
- Provide Software Design, Business Requirement Document
- Proficient in understanding cobol/mainframe programs, proc, subroutines, jcl and libraries and converting them in into Technical Specification and mapping document
- Proficient in Writing SQLs and analyzing data for analysis/profiling
- Understands Hadoop Architecture and Big Data Tools and Technologies especially Java, Scala or Python to write efficient reverse engineering mapping and specification documents
Qualifications for technical data analyst
- Interface with reference data end-users within company units, business aligned IT groups and Data Operations
- Draft requirement specifications based on end-user needs
- Draft and document required changes to reference data applications PDP, RDM and QDB
- Extract business logic from code
- Structured documentation of user requirements
- Candidates requiring visa sponsorship will not be required for this position
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Contract
Job function
-
Job function
Information Technology
-
Industries
IT Services and IT Consulting
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Data Analyst employer: PURVIEW
Contact Detail:
PURVIEW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python and PySpark. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work at PURVIEW or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with Master Data Management tools during interviews. Be ready to share specific examples of how you've validated, matched, and merged data sources in previous roles.
✨Tip Number 4
Stay updated on the latest trends in data analysis and big data technologies. Being knowledgeable about current developments can demonstrate your commitment to the field and your ability to adapt to new challenges.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description for the Data Analyst position. Focus on your proficiency in Python, SQL, and any Master Data Management tools you've used.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses how your background aligns with the responsibilities listed in the job description. Mention your experience with data cleansing, validation processes, and any relevant projects you've worked on.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially those related to data analysis, such as your understanding of Hadoop architecture and Big Data tools. Provide examples of how you've applied these skills in previous roles.
Highlight Problem-Solving Abilities: Demonstrate your problem-solving skills by including specific examples of challenges you've faced in data analysis and how you overcame them. This will show potential employers your analytical thinking and adaptability.
How to prepare for a job interview at PURVIEW
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any experience with Master Data Management tools. Be prepared to discuss specific projects where you've used these skills to solve data-related problems.
✨Understand the Company’s Data Needs
Research PURVIEW and understand their business model and data requirements. This will help you tailor your answers to demonstrate how your skills can directly benefit their operations.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges or describe how you would approach data cleansing and validation. Practising these scenarios can help you articulate your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the projects you might be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
