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- Tasks: Monitor and improve data quality for clients using innovative tools.
- Company: Join Syniti, a global leader in enterprise data management trusted by Fortune 2000 companies.
- Benefits: Enjoy a supportive environment, growth opportunities, and recognition for your achievements.
- Why this job: Shape the future of data management while working in a collaborative, open culture.
- Qualifications: Keen eye for detail, knowledge of data tools, and a relevant degree or experience required.
- Other info: Bonus points for experience with SAP and data quality tools.
The predicted salary is between 36000 - 60000 £ per year.
ABOUT US Syniti is the enterprise data partner, empowering anyone who relies on data to make business-critical decisions by delivering data they can trust through a unique combination of intelligent software and experts who deeply understand the role of data in enterprise growth. Trusted by the Fortune 2000, Syniti helps leading businesses reconfigure the role of enterprise data from afterthought to foundational first step, enabling them to unlock valuable insights that ignite growth, reduce risk, and expand their competitive advantage. Syniti’s Data First philosophy and enterprise data management platform supports data migration, data quality, data replication, data matching, master data management, analytics, data governance, and data strategy in a single, unified solution. As an innovative, global leader in Enterprise Data Management, the combination of our award-winning software platform and premier consultants creates a unique advantage for leading enterprises. Syniti is also a preferred data solution used by the world’s top system integrators . Headquartered in Boston, Massachusetts, with offices in 25 countries around the world, Syniti operates in all global regions and industry verticals and maintains a 100% client success rate across thousands of complex data projects and initiatives. THE ROLE As a Data Quality Analyst, you’ll be part of the team that keeps our clients’ data in top shape. You’ll help monitor, validate, and improve the quality of data across a range of clients using cutting-edge tools. WHAT YOU WILL DO Using our unique Syniti data quality platform, connect to client systems, map their data landscape, and profile their datasets. Work with our clients to define data rules and standards, define KPIs, and then build data quality reports/dashboards to highlight their data issues. Work with them to understand the causes of their data issues and suggest improvements. Use AI tools to streamline the future data collection and analysis processes. Contribute to the development of the practice by improving our standard methodologies and processes. WHAT IT TAKES A keen eye for detail and a methodical approach to problem-solving. Knowledge of databases, spreadsheets, and/or data analysis tools – e.g., Excel, SQL, etc. (training will be given to get you to the right level in what you need). Experience with BI tools such as Power BI, Tableau, Qlik, etc. Strong communication skills, with the ability to translate complex data issues into business-friendly language. Ability to manage time effectively and work on multiple tasks at once. Enthusiasm for learning and growing in a data-focused career. Relevant degree or equivalent experience in data, IT, business, or related fields. Comfortable working in a fast-paced, client-focused consultancy environment. Bonus points for: Knowledge of SAP, particularly data sets for customers, vendors and materials. Experience with data quality and profiling tools (e.g. SAP Information Steward, Talend, Informatica Data Quality, Collibra Data Quality, Trillium, Ataccama, etc.). Previous data migration experience. Previous consultancy or client-facing experience. WHAT WE OFFER Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing. Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story. Support. We all rely on each other and enable each other to be successful. You won’t stand alone. Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all. Recognition. We are the sum of individual achievements, and we always take the time to celebrate them. An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued.41bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Quality Consultant employer: Syniti
Contact Detail:
Syniti Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Consultant
✨Tip Number 1
Familiarise yourself with Syniti's data quality platform and its features. Understanding how to connect to client systems and map their data landscape will give you a significant edge during the interview process.
✨Tip Number 2
Brush up on your knowledge of data analysis tools like Excel and SQL, as well as BI tools such as Power BI or Tableau. Being able to demonstrate your proficiency in these areas will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare to discuss your problem-solving approach and how you've tackled data issues in the past. Be ready to share specific examples that highlight your attention to detail and methodical thinking.
✨Tip Number 4
Show enthusiasm for learning and growing in the data field. Research current trends in data quality and management, and be prepared to discuss how you can contribute to improving Syniti's standard methodologies and processes.
We think you need these skills to ace Data Quality Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Quality Consultant at Syniti. Familiarise yourself with their data quality platform and the tools mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in data analysis, databases, and any BI tools you've used. Make sure to include specific examples that demonstrate your problem-solving skills and attention to detail.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Mention how your skills align with Syniti's Data First philosophy and how you can contribute to their mission of delivering trusted data.
Showcase Your Communication Skills: In your application, emphasise your ability to translate complex data issues into business-friendly language. This is crucial for a client-facing role, so provide examples of how you've successfully communicated technical information in the past.
How to prepare for a job interview at Syniti
✨Understand the Data Quality Landscape
Before your interview, make sure you have a solid grasp of data quality concepts and the tools mentioned in the job description. Familiarise yourself with platforms like SAP Information Steward and Talend, as well as BI tools like Power BI and Tableau. This knowledge will help you speak confidently about how you can contribute to maintaining and improving data quality.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've successfully identified and resolved data issues. Be ready to discuss your methodical approach to problem-solving and how you ensure data integrity. This will demonstrate your keen eye for detail and your ability to tackle complex challenges.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice explaining complex data issues in simple terms. Think of scenarios where you've had to translate technical jargon into business-friendly language, as this will show your ability to bridge the gap between data and business needs.
✨Express Your Enthusiasm for Learning
Syniti values growth and curiosity, so be sure to convey your enthusiasm for learning and developing your skills in the data field. Share any relevant courses or certifications you’ve pursued, and express your eagerness to embrace new challenges and technologies in your career.
