Dice is the leading career destination for tech experts at every stage of their careers. Our client, Radiansys, Inc., is seeking the following. Apply via Dice today!
Responsibilities:
Collaborate with Research departments to develop and implement a robust data strategy and architecture
Partner with IT and other subject matter experts to develop foundational, robust, high quality, integrated data sets and metrics/KPIs to be used for visualization and advanced analytics
Bridge business needs with technical development by supporting the development of the metrics/KPI hierarchy throughout Research and compiling a data directory of various databases
Understand user requirements, underlying business processes, and source data to perform any required analysis and create powerful user-friendly reports.
Build and improve automated and ad hoc data visualizations and dashboards (Tableau, ThoughtSpot, etc.) to enable businesses to use data to maximize their value.
When relevant, collaborate with and/or lead a limited number of prioritized initiatives that align with and support Research s organizational goals.
Qualifications :
Preferred Majors: Business degree - Computer Science, Data Science, Analytics, Engineering, Statistics, Math or Operations Research
Skills:
Business acumen and ability to translate business needs into metrics
Experience with consulting diverse teams
Experience with data visualization (Tableau, ThoughtSpot, etc.)
Experience with developing and defining metrics/KPIs
Experience with leveraging AI to identify actionable insights
Proficient with organizing data collected from various sources
Working knowledge with database, table design joins, data collection, data mining, data aggregation, data validation, data analytics etc.
Proficient with Microsoft Office Suites and/or Google Suites
Core Competencies:
Ability to work independently and proactively; Excellent written, presentation, and verbal communication skills.
Eager to solve complex problems; Excellent organizational and interpersonal skills.
Attention to detail, time management, self-motivated and a positive attitude.
Strong business focus and mentality.
Flexibility and ability to interact well within both team-oriented and ambiguous settings
- Please Note - This is a W2 ROLE ONLY **
Responsibilities:
Collaborate with Research departments to develop and implement a robust data strategy and architecture
Partner with IT and other subject matter experts to develop foundational, robust, high quality, integrated data sets and metrics/KPIs to be used for visualization and advanced analytics
Bridge business needs with technical development by supporting the development of the metrics/KPI hierarchy throughout Research and compiling a data directory of various databases
Understand user requirements, underlying business processes, and source data to perform any required analysis and create powerful user-friendly reports.
Build and improve automated and ad hoc data visualizations and dashboards (Tableau, ThoughtSpot, etc.) to enable businesses to use data to maximize their value.
When relevant, collaborate with and/or lead a limited number of prioritized initiatives that align with and support Research s organizational goals.
Qualifications :
Preferred Majors: Business degree - Computer Science, Data Science, Analytics, Engineering, Statistics, Math or Operations Research
Skills:
Business acumen and ability to translate business needs into metrics
Experience with consulting diverse teams
Experience with data visualization (Tableau, ThoughtSpot, etc.)
Experience with developing and defining metrics/KPIs
Experience with leveraging AI to identify actionable insights
Proficient with organizing data collected from various sources
Working knowledge with database, table design joins, data collection, data mining, data aggregation, data validation, data analytics etc.
Proficient with Microsoft Office Suites and/or Google Suites
Core Competencies:
Ability to work independently and proactively; Excellent written, presentation, and verbal communication skills.
Eager to solve complex problems; Excellent organizational and interpersonal skills.
Attention to detail, time management, self-motivated and a positive attitude.
Strong business focus and mentality.
Flexibility and ability to interact well within both team-oriented and ambiguous settings