At a Glance
- Tasks: Source and manage data partnerships to enhance Enigma's data assets.
- Company: Join a forward-thinking company with a hybrid-remote culture.
- Benefits: Flexible work schedule, generous parental leave, and community volunteering opportunities.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be a key player in shaping data strategies that drive innovation.
- Qualifications: Strong SQL skills, relationship management expertise, and a proactive mindset.
The predicted salary is between 44010 - 53790 £ per year.
We’re looking for someone who will anticipate Enigma’s data needs based on the company strategy and near‑term goals. You’ll source new data partners to strengthen Enigma’s data assets and overall product, both opportunistically and as requested by internal product and engineering teams. You’ll be responsible for the management and ongoing growth of our internal source of truth data. You’ll also be responsible for evaluating the data quality of new partners’ data and owning the integration of that data. You’ll manage relationships with data partners - all the way from sourcing data, negotiating contracts, and managing data budgets to assessing data partner performance and negotiating renewals. You’ll collaborate with Legal, Finance, Product, and Engineering. This is a role with a high level of accountability. You will need to anticipate the data needs of internal teams well before they need the data to make sure they are not blocked. You’ll need to drive forward conversations and evaluations with data partners, even when these are not high priority in the near term for other stakeholders.
Benefits:
- Adoption Assistance
- Family Medical Leave
- Flexible Work Schedule
- Generous Parental Leave - Enigma offers 12 weeks paid leave for all new parents and 20 weeks of paid leave for birthing parents
- Daily sync
- Friends outside of work
- Volunteer in local community
- Pair programming
- Team owned deliverables
- Group brainstorming sessions
- Team based strategic planning
- Eat lunch together
- Remote Work Program - Enigma has a hybrid-remote working culture. Our employees work from anywhere but are always welcome at our office in NYC
Has very strong negotiating chops - you understand how to “give and take” to get the best deal. Translates the product roadmap into tangible data requirements and ensures internal teams are never waiting on new data to achieve their goals. Is fluent in SQL, passionate about analyzing data, and knows the difference between data that only looks good in a sample and data that holds up once it’s in production. Is opportunistic - stays up-to-date with new data sources, rather than relying on knowledge of what’s worked in the past. Is an expert at relationship management. Operates with a sense of urgency and perseveres through difficulties and setbacks.
Senior Data Acquisition Analyst employer: Enigma
Enigma is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and hands-on leadership in cutting-edge AI technologies. Our commitment to creating explainable AI solutions in healthcare not only drives meaningful impact but also ensures that our team members are at the forefront of technological advancements in a supportive and collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Acquisition Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Enigma.
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We think you need these skills to ace Senior Data Acquisition Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Enigma, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Enigma. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Enigma
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Enigma!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
