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Data Analyst at STV | JobVerse
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Data Analyst
STV
Website
LinkedIn
Data Analyst
United States
Full Time
1 week ago
$45,113 - $60,151 USD
H1B Sponsor
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Key skills
Python
SQL
R
Analytics
BI
Business Intelligence
Power BI
Project Management
About this role
Role Overview
Transform project data into actionable insights through advanced analytics and visualization techniques.
Develop comprehensive dashboards and reports using Power BI to communicate key performance metrics effectively.
Collaborate with cross-functional teams to identify data-driven opportunities and establish best practices.
Automate data workflows using Python or R to improve efficiency in reporting and analytics.
Maintain data integrity by identifying and resolving inconsistencies across project management information systems (PMIS).
Support the integration of multiple data sources within PMIS platforms to create unified reporting solutions.
Create visualizations that clearly communicate project performance to technical and non-technical stakeholders.
Document analytical methodologies for knowledge transfer and reproducibility.
Engage directly with clients to understand needs and respond effectively to impromptu reporting and analysis requests with minimal supervision.
Requirements
Bachelor’s degree in Analytics, Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
2+ years of experience in data analysis or business intelligence, preferably in project-driven environments.
Advanced proficiency in Power BI, including dashboard design and interactive reporting.
Strong experience with Python or R for data processing and automation.
Working knowledge of SQL for querying and data manipulation.
Experience with Project Management Information Systems (PMIS).
Demonstrated ability to translate complex datasets into compelling narratives and present insights effectively.
Strong problem-solving skills with experience handling large, multi-source datasets.
Ability to work independently in a client-facing environment with minimal supervision.
Master’s or PhD in Analytics, Computer Science, Engineering, or related STEM field (Preferred but not Required).
Tech Stack
Python
SQL
Benefits
Health insurance, including an option with a Health Savings Account
Dental insurance
Vision insurance
Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable)
Disability insurance
Life Insurance and Accidental Death & Dismemberment
401(k) Plan
Retirement Counseling
Employee Assistance Program
Paid Time Off (16 days)
Paid Holidays (9 days)
Back-Up Dependent Care (up to 10 days per year)
Parental Leave (up to 80 hours)
Continuing Education Program
Professional Licensure and Society Memberships
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