At a Glance
- Tasks: Transform client data into scalable solutions and lead exciting data conversion projects.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to innovation and learning.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: 2+ years in tech or finance, Python skills, and a passion for problem-solving.
The predicted salary is between 58500 - 71500 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets.
The Role
A Data Migration Specialist is responsible for integrating clients’ portfolio data into Addepar, and consulting clients on their most complex data challenges. As a Data Migration Specialist, you will be responsible for executing on client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have exceptional analytical and communication skills, thrive in a fast-paced environment, and bring a solutions-oriented approach to all problems they encounter. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
What You’ll Do
- Translate unique client requirements into flexible and scalable data solutions
- Lead data conversion projects with Addepar clients to ETL historical portfolio data from their legacy system into Addepar
- Prioritise and context-switch effectively to complete simultaneous projects, seeing each through to the finish line
- Identify and drive opportunities to improve our current processes and tools to better streamline, scale and automate workflows
- Effectively set, lead, and communicate expectations both internally and externally
- Communicate with clients in a proactive, consultative and professional manner
- Collaborate with internal Services, Sales, Product and Engineering teams
Who You Are
- Minimum 2+ years experience working in technology, finance, or consulting
- Proficient in Python programming language
- Experience with financial products and securities modeling
- Solution-oriented mentality and passion for problem solving
- Excellent communication, organisational, and time-management skills
- Strong work ethic, proactive and a high contributing teammate
- Highly organised, close attention to detail and driven to make processes more efficient
- Independent, adaptable and can thrive in a fast-paced environment
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Migration Specialist employer: Addepar1
Addepar is an exceptional employer, offering a dynamic work environment in Edinburgh where innovation and collaboration thrive. Employees benefit from a culture that champions learning and inclusivity, alongside opportunities for professional growth through mentorship and technical leadership. With a commitment to driving impactful solutions in the financial sector, Addepar empowers its team members to make significant contributions while enjoying the advantages of working within a global data and AI platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Addepar1!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Migration Specialist at Addepar1.
✨Leverage Professional Networks
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 Addepar1.
✨Apply Directly through Our Website
When you find a suitable opening like Data Migration Specialist at Addepar1, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Migration Specialist
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 Addepar1, 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 Addepar1. 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 Addepar1
✨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 Addepar1!
✨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.