Role: Data Analyst/Data Engineer
Job Type: Full Time
Location: Seattle, Washington, United States (Onsite)
Job Description:
Roles & Responsibilities,
Data Analysis: Proficiency in analyzing large datasets, identifying patterns, and extracting meaningful insights using tools like SQL, Excel, or other data analysis software.
Data Visualization: Ability to create visually appealing and informative dashboards, reports, and charts using data visualization tools such as Tableau.
Database Management: Knowledge of database concepts, including data modeling, data warehousing, and SQL querying to extract and manipulate data from relational databases.
ETL (Extract, Transform, Load): Understanding of ETL processes to extract data from various sources, transform it into a suitable format, and load it into a data warehouse or reporting system.
Business Intelligence Tools: Familiarity with business intelligence tools like Cognos to develop and maintain reports, queries, and data cubes.
Data Mining: Knowledge of data mining techniques to discover patterns, correlations, and trends in large datasets.
Data Quality Assurance: Understanding of data quality concepts and experience in data cleansing, data profiling, and data validation to ensure accuracy and reliability of data.
Data Governance: Familiarity with data governance principles and practices to ensure data integrity, security, and compliance with regulations.
Programming Skills: Basic programming skills in languages like Python can be beneficial for automating tasks, building data pipelines, or developing custom analytics solutions.
Roles & Responsibilities,
- Lead the design of information models, dashboards, metrics and reports utilizing standard. technologies and methodologies that meet business objectives.
- Update the dashboard content to accurately reflect the source data.
- Transfer data fromsources such as Clarity/ITG, ADO, Gitlab, Excel files hosting relevant source data.
- Incorporate Boeing-identifiedKPIs into dashboards to convey key business intelligence views.
- Experience in data visualization, data cleaning, data manipulation (extract, transform, load), and tool usage of Talend, SSIS, DataStage, Oracle Data Integrator
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Databases - MS SQL/Oracle/Teradata/NoSQL DB
- Strong analytical skills and ability to interpret complex data
- Familiarity with the Azure Cloud ecosystem
