At a Glance
- Tasks: Transform raw data into valuable insights and build efficient data systems.
- Company: Join Clearwater Analytics, a leader in cloud-native investment management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace encouraging applicants from all backgrounds.
- Why this job: Make an impact by improving data quality and driving data-driven decisions.
- Qualifications: Experience in data analytics, SQL, and strong problem-solving skills.
The predicted salary is between 45000 - 55000 £ per year.
" Job Summary
The Technical Data Analyst is responsible for maintaining investment data for clients.
This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques.
Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs.
This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.
Responsibilities
Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.
Build efficient and robust data systems and pipelines, ensuring seamless data flow.
Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.
Showcase your findings using cutting‑edge data visualization techniques, making data come to life.
Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.
Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.
Develop and implement analytical tools and programs that empower teams to make data-driven decisions.
Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.
- Required Skills
- Familiarity with cloud platforms and big data technologies (e. g., AWS, GCP, Azure).
- Understanding of database design and data warehouse principles.
- Strong understanding of investment data, good to have Knowledge of one or more programming languages (e. g. Java, Python, VBA).
- Proficiency in data manipulation and data cleansing techniques.
- Knowledge of data governance and best practices in data management.
- Continuous improvement mindset for self and team.
- Ability to work collaboratively in a cross-functional team environment.
- Ability to work with large datasets and perform data mining tasks.
- Strong computer skills, including proficiency in Microsoft Office.
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organisational and interpersonal skills.
- Exceptional problem-solving abilities.
Education and Experience
- Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
- 4+ years of relevant experience in data analytics, reporting, and visualization.
- Hands-on experience with SQL and No SQL databases.
- Experience with data integration and exchange, transfer, load processes.
- Experience with data visualization tools such as Tableau, Power BI, or D3. js.
- Familiarity with dbt/Prophecy good to have, but not essential.
About the Company
Thank you for your interest in a career with Clearwater!
Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private markets.
While legacy systems create risk, inefficiency, and data fragmentation, Clearwater’s single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle.
The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system.
Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally.
Learn more at www. clearwateranalytics. com.
Equal Opportunity / Diversity Statement
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.
We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply!
- You may be just what we're looking for.
" - #J-18808-Ljbffr
Technical Data Analyst (SQL) employer: Clearwater Analytics, LLC
As a leading employer in the data analytics sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in a vibrant area, we offer competitive benefits, continuous professional development opportunities, and a commitment to diversity and inclusion, ensuring that every team member can contribute meaningfully and grow within the company.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Analyst (SQL)
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We think you need these skills to ace Technical Data Analyst (SQL)
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!
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How to prepare for a job interview at Clearwater Analytics, LLC
✨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!
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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 Clearwater Analytics, LLC!
✨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.
