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Technical Data Analyst

Boise, ID, US • Posted 1 day ago • Updated 13 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Organizational Skills
Presentations
Project Management
Data Flow
Data Quality
Analytical Skill
Collaboration
Product Development
Innovation
Cloud Computing
Big Data
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Database Design
Data Warehouse
Programming Languages
Java
Python
VBA
Data Manipulation
Data Cleansing
Data Governance
Data Management
Continuous Improvement
Cross-functional Team
Data Mining
Microsoft Office
Attention To Detail
Documentation
Communication
Problem Solving
Conflict Resolution
Statistics
Accounting
Computer Science
Data Analysis
Reporting
Visualization
SQL
NoSQL
Database
Data Integration
Microsoft Exchange
Data Visualization
Tableau
Microsoft Power BI
D3.js

Summary

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:

Deep understanding of investment data.
Familiarity with cloud platforms and big data technologies (e.g., AWS, Google Cloud Platform, 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.
5+ 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91121376
Position Id: dde800061719b4edfb04f8f327a43e4
Posted 1 day ago

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