Programming Work, Jobs in Pathhead, Fif (with Salaries)

Technical Data Analyst
Clearwater Analytics, LLC —Edinburgh
- Writing skills
- Java
- Databases
Quick apply
1d
Software Engineer
Ion Beam Services —Bathgate
- Microsoft Powerpoint
- Microsoft Word
- Up to 50% travel
9h
Clinical Data Manager
Charles River Laboratories —Tranent
- Up to £40,000 a year
- Full-time
- Computer literacy
- Bachelor's degree
- Organisational skills
12d
Facility Attendant Forester Park
Enjoy East Lothian Ltd —Tranent
- £13.45 an hour
- Part-time
- First Aid Certification
- Organisational skills
- Cleaning
- Employee assistance programme
- Employee discount
1d

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Software Engineer
Ion Beam Services —Bathgate
Provide technical support to customers both on-site and remotely. Be part of cross company project teams working with engineers from our French facility.
9h
Software Engineer (SAP + AI)
Scottish Power —Glasgow
Options to purchase dental insurance, private medical insurance, health cash plan and annual health assessments. Payroll giving and charity matched funding.
From £52,400 a year

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Technical Data Analyst

Clearwater Analytics, LLC -
Edinburgh

Quick apply

Job details

1 day ago

Qualifications

Investment
Power BI
Data integration
Data mining
Report generation
Stakeholder collaboration
D3.js
Data quality analysis
Big data
Writing skills
NoSQL
Microsoft Office Suite
Tableau
Data and database experience
Java
Databases
Power BI data visualisation
ETL data integration
Bachelor's degree
Continuous improvement
Data analytics
Organisational skills
Cloud computing
Computer skills
Multidisciplinary collaboration
Data visualisation
Accounting
Communication skills
Data warehouse

Full job description

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 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

Quick apply

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