Data Analyst jobs in United States
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Jobs via Dice · 3 hours ago

Data Analyst

INNOVIT USA INC is a client of Dice, seeking a Data Analyst to support data-driven decision-making across the organization. This role involves collecting, processing, and analyzing large datasets to transform raw data into meaningful insights through reports and visualizations.

Computer Software
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H1B Sponsorednote

Responsibilities

Collect, clean, validate, and prepare data from multiple internal and external sources
Analyze datasets to identify trends, patterns, correlations, and anomalies
Develop interactive dashboards, reports, and visualizations for business stakeholders
Collaborate with business users to define metrics, KPIs, and reporting requirements
Perform statistical analysis, forecasting, and basic modeling to support decision-making
Ensure data accuracy, integrity, and security across reporting and analytics processes
Document data definitions, methodologies, workflows, and reporting logic
Translate complex analytical results into clear, actionable insights and recommendations
Maintain, enhance, and optimize data visualization tools and reporting platforms
Support ad-hoc reporting requests and executive-level analytics
Validate data sources and reconcile discrepancies between systems
Participate in data governance initiatives and promote best practices in data usage
Identify opportunities to improve data quality, automation, and reporting efficiency
Work with cross-functional teams to support strategic initiatives and performance analysis

Qualification

SQLData visualizationData analysisPythonExcelStatistical modelingETL processesStakeholder managementCritical thinkingProblem-solvingCommunication skills

Required

Bachelor s degree in Data Science, Statistics, Computer Science, or a related field
2-4 years of experience in data analysis or business intelligence roles
Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI
Strong analytical, critical thinking, and problem-solving skills
Experience working with structured datasets and relational databases

Preferred

Knowledge of Python or R for data analysis, automation, and statistical modeling
Experience with big data platforms such as Hadoop, Spark, or cloud-based analytics tools
Ability to translate business requirements into data models and reporting solutions
Familiarity with ETL processes and data warehousing concepts
Excellent communication, presentation, and stakeholder management skills

Company

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Current Stage
Early Stage
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