At a Glance
- Tasks: Lead research on data integration and engineering, providing actionable insights to clients.
- Company: Join Gartner, a global leader in technology research and consulting.
- Benefits: Competitive pay, flexible work options, and opportunities for personal growth.
- Other info: Collaborative environment with endless opportunities for career advancement.
- Why this job: Shape the future of data management and make a real impact in the tech industry.
- Qualifications: Expertise in data integration, strong communication skills, and a passion for innovation.
The predicted salary is between 80000 - 100000 £ per year.
Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Director Analyst possesses a keen eye for identifying problems and creating solutions within the technological markets they serve. They use their knowledge to help clients make better decisions, solve complex issues, and execute new practices that propel clients’ businesses toward key objectives. A Director Analyst publishes these insights as pragmatic and/or provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via virtual meetings, sales support, Gartner conferences and industry events.
The successful candidate for this role is an expert in Data Integration technology and Data Engineering discipline and understands the benefits it can bring in addition to the challenges of implementation across people, processes, and technologies. The candidate will also have a core understanding of Data Integration and its application across Data Management platforms and use cases. The candidate will focus on written and customer-facing deliverables to support Data & Analytics Leaders who face the challenges of improving/establishing Data Integration within their Organizations.
What you will need:
- Demonstrated experience working on Data Integration and Engineering initiatives.
- Bachelor's Degree, Advanced Professional Qualification, or 10+ years direct experience in a field related to Data Management.
- Subject matter expertise, with demonstrated knowledge of how to improve and sustain Data Integration and Data Engineering within Data Management disciplines.
- Primary Areas of coverage would include:
- data integration technology and markets
- data ecosystem and data management platforms
- data engineering practices and skills
- dataOps methodologies for agile engineering
- understanding of modern data integration styles like streaming, virtualization/federation of data, data replication, API integration etc.
- understanding of modern data management architectures like data fabric and data mesh
- understanding the data mesh operating principles with expertise on data products and marketplaces to federate data management.
- Modern data management architecture requirements to support AI-ready data including but not limited to the use Knowledge Graphs, Ontologies and Semantics for AI use cases and AI agents
- Hands-on experience with Data Integration and Engineering tools, is a plus.
- Hands on experience with data streaming tools, data virtualization tools, real-time data integration and application integration technology, is a plus.
- Familiarity with Chief Data and Analytics Officer (CDAO) initiatives, goals, objectives, and business value ROI.
- Strong organizational skills: ability to work under tight deadlines and produce high quality deliverables.
- Demonstrate excellence in research and writing ability.
- Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.
- Ability to represent Gartner's research methodology and strategies effectively at all levels.
- Willingness and ability to travel up to 25% (where applicable).
What you will do:
- Deliver high-quality actionable advice through a variety of media.
- Write provocative and pragmatic research that is clear and actionable.
- Provide high quality and timely research content peer review.
- Create and deliver presentations for webinars, onsite engagements, and Gartner conferences.
- Track vendors, market trends and emerging practices to remain ahead of the curve within these areas, and adjacent spaces (e.g. digital transformation, data management strategy and operating models, data engineering skills, among others).
- Deliver outstanding sales support to retain and grow the Gartner business.
- Build credibility as an industry expert to represent Gartner research, methodology and strategy.
- Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the research community.
- Identify research process improvements or develop new processes that help the team and Gartner Insights teams provide excellent service delivery.
- Be a mentor and a coach by supporting more junior team members.
Who you are:
- You came from a Data Management background and may have been a hands-on practitioner in the past but as your career progressed you may have transitioned into a leadership role, where you started leading teams or teams of teams.
- You understand the bigger picture and the full lifecycle of data management where considerations are made in data integration, data quality, metadata management, Data and analytics governance, DataOps methodologies and DBMSs.
- You are proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges.
- You enjoy learning and being challenged intellectually on new topic areas or adjustments to previously held beliefs.
- You are a strong communicator who can explain complex concepts concisely and simply.
- You are a subject matter expert who is comfortable presenting at large and small-scale speaking engagements.
- You can demonstrate executive presence and can immediately establish credibility with executives and additional stakeholders.
What makes Gartner Research a GREAT fit for you?
- You are a team player who values expert insights, bold ideas, and intellectual courage.
- You are always learning and looking to discover what’s next in technology.
- You pursue personal excellence through team collaboration and consensus.
- You love to shape ideas and business-related recommendations to solve clients’ biggest challenges.
Director Analyst, Data Integration employer: Gartner
Gartner, Inc. is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to thrive in their careers. With a strong focus on professional development, you will have access to world-class training and growth opportunities while engaging with top-tier clients in the vibrant UK market. Join us to be part of a collaborative team that values innovation and strategic thinking, making a meaningful impact in the technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Director Analyst, Data Integration
✨Tip Number 1
Network like a pro! Reach out to your connections in the data integration and engineering space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your expertise! Create content that showcases your knowledge in data integration technologies. Whether it's a blog post, a LinkedIn article, or a video, let potential employers see your thought leadership in action.
✨Tip Number 3
Prepare for interviews by practising common questions related to data management and integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your experience clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you on board!
We think you need these skills to ace Director Analyst, Data Integration
Some tips for your application 🫡
Show Your Expertise:Make sure to highlight your experience in Data Integration and Engineering. We want to see how your background aligns with the role, so don’t hold back on showcasing your knowledge of data management platforms and methodologies.
Craft Clear and Engaging Content:Since this role involves writing research and insights, focus on clarity and engagement in your application. Use straightforward language and structure your thoughts well, just like you would in a research paper or presentation.
Tailor Your Application:Don’t send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Gartner!
How to prepare for a job interview at Gartner
✨Know Your Data Integration Inside Out
Make sure you brush up on your knowledge of Data Integration technology and its applications. Be prepared to discuss specific tools and methodologies you've used, as well as the challenges you've faced in implementation. This will show that you're not just familiar with the concepts but have real-world experience.
✨Craft Your Research Narrative
Since you'll be expected to publish research, think about how you can present your insights clearly and provocatively. Prepare examples of past research or projects where you’ve delivered actionable advice. This will demonstrate your ability to communicate complex ideas simply and effectively.
✨Engage with Real-World Scenarios
During the interview, be ready to tackle hypothetical scenarios related to Data Management and Integration. Think through how you would approach common challenges faced by clients. This will highlight your problem-solving skills and your understanding of the industry landscape.
✨Showcase Your Communication Skills
As a Director Analyst, strong communication is key. Practice explaining complex data concepts in layman's terms. You might even want to prepare a mini-presentation on a relevant topic to showcase your presentation skills and executive presence during the interview.
