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- Tasks: As a Data Analyst, you'll validate and merge data, ensuring quality and supporting business needs.
- Company: Join a forward-thinking company in Glasgow focused on data-driven solutions and innovation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and offers impactful projects in the tech space.
- Qualifications: Experience with data analysis, Python, SQL, and familiarity with Master Data Management tools is essential.
- Other info: Candidates without all qualifications but with relevant experience are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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 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.
Data Analyst employer: Hellowork Consultants
Contact Detail:
Hellowork Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, PySpark, and Master Data Management tools. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data cleansing and validation processes. Be ready to share specific examples of how you've tackled data quality issues in past roles, as this is a key responsibility for the position.
✨Tip Number 4
Brush up on your SQL skills and be prepared to demonstrate your ability to write complex queries. You might be asked to solve a problem or analyse a dataset during the interview, so practice is essential.
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 related to data analysis, Python, and Master Data Management tools. Use keywords from the job description to catch the employer's attention.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities and qualifications listed in the job description. Explain how your experience aligns with their needs and express your enthusiasm for the role.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL, data cleansing, and validation processes. Mention any experience with Hadoop architecture and Big Data tools, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential for a data analyst.
How to prepare for a job interview at Hellowork Consultants
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any experience with data analysis tools. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your capability to handle the technical aspects of the role.
✨Understand Master Data Management
Familiarise yourself with Master Data Management concepts and tools. Be ready to explain how you've validated, matched, and merged data in previous roles, as this is a key responsibility for the position.
✨Prepare for Data Quality Discussions
Since data quality is crucial, think of examples where you've performed data cleansing and validation. Discuss the processes and technologies you used, as well as the outcomes of your efforts to ensure data integrity.
✨Communicate Clearly
Effective communication is vital, especially when interfacing with end-users and IT groups. Practice explaining complex technical concepts in simple terms, as this will show your ability to bridge the gap between technical and non-technical stakeholders.
