Sr. Technical Data Analyst

Clearwater Analytics; City of Edinburgh; On-site; GBP 65,000 - 90,000; Full time

Job summary

Clearwater Analytics seeks a Technical Data Analyst in the United Kingdom to maintain investment data for clients, build data systems and pipelines, and perform complex analyses that drive insights for projects and stakeholders.

You will integrate data from diverse sources, improve data quality, and present findings with Tableau, Power BI, or D3.js while collaborating with architects and product teams to meet client needs.

Qualifications

• Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
• 7+ years of relevant experience in data analytics, reporting, and visualization.
• Hands-on experience with SQL and NoSQL databases.
• Experience with data integration and exchange, transfer, load processes.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Responsibilities

• Utilize analytical expertise to decipher and organize raw data, transforming it into insights.
• Build efficient data systems and pipelines, ensuring seamless data flow.
• Dive into complex data sets, conducting thorough analysis and delivering insightful reports.
• Showcase findings using data visualization techniques, making data come to life.
• Harness multiple data sources, combining data into comprehensive insights.
• Continuously explore methods to improve data quality and reliability, contributing to standards.
• Develop and implement analytical tools that empower teams to make data-driven decisions.
• Collaborate with system architects and product development teams to foster innovation.
• Engage with clients and project management teams to understand needs.
• Play an integral role in creating and maintaining investment data for Clearwater's clients.

Skills

Investment data

Cloud platforms & big data

Database design

Programming languages

Data manipulation

Data governance

Cross-functional collaboration

Data mining

MS Office

Documentation

Communication

Education

Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline

Tools

Tableau

Power BI

D3.js

SQL

NoSQL databases

Job description

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. It also 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.
• Engage directly with clients and project management teams, gaining a deep understanding of customer and company needs.
• Play an integral role in creating, implementing, and maintaining investment data for Clearwater's esteemed clients.

Required Skills:

• Deep understanding of investment data.
• Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
• Understanding of database design and data warehouse principles.
• 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 organizational and interpersonal skills.
• Exceptional problem-solving abilities.

Education and Experience:

• Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
• 7+ years of relevant experience in data analytics, reporting, and visualization.
• Hands-on experience with SQL and NoSQL databases.
• Experience with data integration and exchange, transfer, load processes.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.