Technical Data Analyst (SQL)

Clearwater Analytics; City of Edinburgh; On-site; GBP 50,000 - 75,000; Full time

Job summary

Clearwater Analytics is seeking a Technical Data Analyst to manage and analyze investment data, build data systems, and present insights through visualization. You will collaborate with clients and product teams to understand needs and drive data-driven decisions.

The role requires strong SQL/NoSQL experience, cloud platforms (AWS, GCP, Azure), and proficiency in visualization tools like Tableau or Power BI. A 4+ year track record in analytics is expected.

Qualifications

• 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 NoSQL 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

Responsibilities

• Analyze and organize raw data, transforming it into valuable insights.
• Build efficient data systems and pipelines for seamless data flow.
• Dive into complex datasets, conduct thorough analysis and deliver insightful reports.
• Showcase findings using data visualization techniques.
• Harness multiple data sources to create actionable insights.
• Continuously improve data quality and reliability.

Skills

AWS

GCP

Azure

SQL

NoSQL

Python

Data manipulation

Data governance

Communication

Team collaboration

Data mining

Excel

Education

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

Tools

Tableau

Power BI

D3.js

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. 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 NoSQL 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