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- Tasks: Analyze data quality and ensure accuracy in reporting.
- Company: Join a dynamic tech company focused on innovative data solutions.
- Benefits: Enjoy flexible work hours, remote options, and a vibrant team culture.
- Why this job: Make an impact by improving data integrity and supporting decision-making processes.
- Qualifications: No prior experience needed; just a passion for data and problem-solving skills.
- Other info: Opportunity for growth and learning in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
Data Quality Analyst 12 months FTCReading Hybrid working – 3 days per week in OfficeMain Purpose of the Role:To own and develop Data Quality Reports, to set up and maintain automated data processes and support the business in fixing data. To provide information and data out to the business whilst acting as an outward ambassador for the BI Team.Working with the Business to develop and plan data quality improvements inline with the data strategy and framework.Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and qualityContribute and apply best practice and expertise knowledge in all areas under remit of supporting the strategic roadmap for Data GovernanceKey ResponsibilitiesDeliver BAU work and report production including review and continual development of the daily and overall Data Governance processes/controls to improve the performance and reliability of Data and deliver business efficiencies.Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services. Support the development and maintenance of an end to end data lifecycle management approachResponsible for applying data governance framework including the management of data, data operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the company Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes. Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies. Deliver status updates on data quality by updating a Data Quality dashboard Follow standards, policies and processes regarding data quality management Operate data remediation plans where data fails to meet required standardBuild & maintain effective working relationships with Company teams and Shareholders Work closely with clients to gather business requirements, understand data and communicate project plans/ updates etcSkills BI tools best practice Agile and waterfall project practice Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms Experience in the use of data catalogues and data quality technologies Experience in the use of reporting and data quality tools; for example Power BIUnderstanding of Master Data Management technology landscape, processes, and design principlesDesirable Proven track record in operating data governance programs Hands-on operational management and change managementTo apply for the Data Quality Analyst please send your CV to Jagadeshwar.Sandhi@projectpeople.com
Data Quality Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Familiarize yourself with common data quality frameworks and methodologies. Understanding concepts like data profiling, cleansing, and validation will help you demonstrate your expertise during the interview.
✨Tip Number 2
Brush up on your SQL skills! Being able to write complex queries and manipulate data is crucial for a Data Quality Analyst role. Consider practicing with sample datasets to showcase your abilities.
✨Tip Number 3
Prepare to discuss real-world examples of how you've improved data quality in previous roles. Having specific metrics or outcomes to share can really set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data quality field. Engaging with industry groups or attending relevant webinars can provide insights and connections that may lead to job opportunities.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand what a Data Quality Analyst does. Familiarize yourself with key responsibilities, such as data validation, quality assurance processes, and the tools commonly used in the industry.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your analytical skills, attention to detail, and any experience with data management or quality assurance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and your understanding of its importance in decision-making. Use specific examples from your past experiences to demonstrate how you can contribute to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at LinkedIn
✨Understand Data Quality Metrics
Make sure you are familiar with key data quality metrics such as accuracy, completeness, consistency, and timeliness. Be prepared to discuss how these metrics impact business decisions and how you have applied them in previous roles.
✨Showcase Your Analytical Skills
During the interview, highlight your analytical skills by discussing specific examples of how you've identified data quality issues and implemented solutions. Use real-life scenarios to demonstrate your problem-solving abilities.
✨Familiarize Yourself with Tools
Research the tools and technologies commonly used in data quality analysis, such as SQL, Python, or data visualization software. Be ready to talk about your experience with these tools and how they can be leveraged to improve data quality.
✨Prepare Questions for the Interviewers
Prepare insightful questions to ask the interviewers about their data quality processes and challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their team.
