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- Tasks: Shape the future of data management and drive innovation across the data lifecycle.
- Company: Join a diverse and inclusive company that values your unique talents.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data is accurate, accessible, and secure.
- Qualifications: Six years in data-related fields and expertise in SQL and Python.
- Other info: Collaborative environment with strong focus on automation and emerging technologies.
The predicted salary is between 60000 - 80000 £ per year.
Shape the future of data management by ensuring the right data is accurate, accessible, and secure. Be at the heart of analytics and operations by defining critical data and improving how it flows across the business. Unlock your potential as you partner with technology and stakeholders to reduce data risk and improve quality. Make your mark by driving innovation and automation across the data lifecycle.
Job Responsibilities
- Develop and implement plans for delivering product data that supports strategic objectives, operations, analytics, and reporting.
- Identify and document critical data elements with clear definitions and metadata to improve understanding and reuse.
- Lead publishing of curated data to the data lake and drive toward scalable, governed data products.
- Execute processes to identify, monitor, and mitigate data risks across protection, retention, destruction, storage, use, and quality.
- Create operational procedures for data development and delivery that standardize quality and controls.
- Collaborate with partners to define, document, and socialize data usage, providing subject matter expertise on content and application.
- Partner with technology and business teams to investigate root causes of data issues and recommend remediation.
- Build relationships with data providers and consumers across Business, Technology, Analytics, Operations, Risk, and Control.
- Drive automation and innovation by identifying and executing opportunities to apply emerging technologies.
Required Qualifications, Capabilities, and Skills
- Six years of industry experience in a data‑related field.
- Five years of experience in technology engineering and cloud modernization for data analytics on platforms such as AWS.
- Expertise in SQL (e.g., SQL Server, Oracle) and strong understanding of database design and data manipulation.
- Subject matter expertise in business or product data and processes.
- Demonstrated ability to manage delivery timelines and keep teams on track to meet goals.
- Ability to execute through strong internal partnerships.
- Strong interpersonal and communication skills.
- Analytical thinking and problem‑solving skills with solid business acumen.
- Proficiency in Python for data management, automation, and analysis.
Preferred Qualifications, Capabilities, and Skills
- Technical knowledge of data management and governance, big data platforms, and data architecture.
- Experience with real‑time data movement in cloud environments.
- Experience with machine learning, artificial intelligence, and cloud‑native technologies.
- Familiarity with ETL processes and data warehouses.
- Experience with data visualization tools.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Data Management Senior Associate employer: NaSPA, Inc.
Contact Detail:
NaSPA, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Senior Associate
✨Network Like a Pro
Get out there and connect with people in the data management field! Attend industry events, join online forums, and don’t be shy about reaching out on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
When you land an interview, make sure to showcase your expertise in SQL, Python, and data governance. Bring examples of your past work or projects that demonstrate your problem-solving skills and ability to drive innovation. We want to see how you can make an impact!
✨Ask Smart Questions
During interviews, ask insightful questions about the company’s data strategy and challenges they face. This shows you’re genuinely interested and helps you understand how you can contribute. Plus, it gives you a chance to highlight your knowledge in data management.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Data Management Senior Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data management, SQL, and any relevant technologies like AWS. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to our team. Be sure to mention any innovative projects you've worked on that relate to the role.
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you have experience with Python or data visualization tools, include specific examples of how you've used these in past roles. We love seeing practical applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NaSPA, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data management and governance. Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in past roles. This will show that you understand the core responsibilities of the position.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in the past. Think about situations where you identified data issues, proposed solutions, and successfully implemented changes. This will demonstrate your analytical thinking and ability to manage delivery timelines.
✨Highlight Collaboration Experience
Since this role involves working with various teams, be ready to talk about your experience collaborating with technology and business partners. Share specific instances where you’ve built relationships and how that led to successful data projects.
✨Stay Updated on Emerging Technologies
Familiarise yourself with the latest trends in data management, such as machine learning and cloud-native technologies. Being able to discuss how these innovations can be applied to improve data quality and automation will set you apart from other candidates.