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Job Details

Skills

Amazon Web Services
Cloud Computing
Data Analysis
Dashboard
Data Modeling
Data Science
Database
Forecasting
Decision-making
Google Cloud
Microsoft Azure
Snow Flake Schema
Machine Learning (ML)

Summary

We are seeking a Data Intelligence Analyst to support data-driven decision-making by collecting, analyzing, interpreting, and presenting business data. The ideal candidate will work with structured and unstructured data, identify trends and patterns, develop reports and dashboards, and provide actionable insights to business and technical teams.

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Develop and maintain reports, dashboards, and data visualizations.
Analyze business and operational data to identify trends, patterns, and opportunities.
Write and optimize SQL queries for data extraction and analysis.
Work with databases, data warehouses, and cloud-based data platforms.
Use Excel, Power BI, Tableau, or similar BI tools to communicate insights.
Perform data quality checks and resolve data inconsistencies.
Translate business requirements into data analysis and reporting solutions.
Prepare regular and ad-hoc analytical reports for stakeholders.
Collaborate with business analysts, data engineers, software teams, and management.
Support KPI development, performance tracking, and business intelligence initiatives.
Document data sources, processes, reports, and analytical methodologies.
Assist with automation and improvement of recurring reporting processes.

Required Skills

Strong analytical and problem-solving skills.
Knowledge of SQL and relational databases.
Proficiency in Microsoft Excel.
Experience or knowledge of Power BI, Tableau, or other BI platforms.
Understanding of data analysis, data visualization, and reporting.
Basic knowledge of data warehousing and ETL concepts.
Ability to work with large datasets and identify meaningful insights.
Strong communication and presentation skills.
Attention to detail and ability to manage multiple priorities.

Preferred Skills

Python or R for data analysis.
Knowledge of AWS, Azure, or Google Cloud.
Familiarity with data modeling and business intelligence concepts.
Knowledge of statistical analysis and forecasting.
Experience with tools such as Snowflake, Databricks, or BigQuery.
Understanding of AI/ML concepts and their application to business data.

Education

Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Business Analytics, or a related field.
Master's degree is a plus but not required.

Experience

Entry-level candidates and entry level candidates are encouraged to apply.
Internship, academic, project, or hands-on experience with data analysis is a plus.

Core Technologies

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: 91165400
Position Id: #4314
Posted 1 day ago

Company Info

About NET2ASPIRE LLC

We offer IT consulting across a broad range of specialty areas and industry verticals, driving success in both private enterprises and the public sector. When you partner with Idea Integration, you gain access to the collective expertise and dedication of our nationwide consulting team, ensuring comprehensive support tailored to your unique needs.

As an innovative Information Technology Consulting and Services company, we specialize in Custom Application Development, Software Engineering, Enterprise Solutions, E-Business, System Integration, Technology Consulting, and Offshore Delivery. Our proven track record of delivering quality solutions with exceptional efficiency and flexibility stems from our deep understanding of industry domains and extensive knowledge of diverse technologies. Our mission is to help you achieve your business goals and maximize your return on investment by developing and executing a robust implementation plan—delivered within a fixed timeframe and budget or on a Time & Material Basis, with options for both On-Site and Off-Site development.

In addition, we are an IT staffing agency that provides flexible staffing solutions. Many companies are leveraging our services to access top talent and adjust their workforce according to their business’s cyclical needs. We offer Contract-to-Hire, Direct Hire, Flexible Hiring, and Permanent Staffing options to help you swiftly scale your workforce up or down as required.

Job Details

Skills

Amazon Web Services
Cloud Computing
Data Analysis
Dashboard
Data Modeling
Data Science
Database
Forecasting
Decision-making
Google Cloud
Microsoft Azure
Snow Flake Schema
Machine Learning (ML)

Summary

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Develop and maintain reports, dashboards, and data visualizations.
Analyze business and operational data to identify trends, patterns, and opportunities.
Write and optimize SQL queries for data extraction and analysis.
Work with databases, data warehouses, and cloud-based data platforms.
Use Excel, Power BI, Tableau, or similar BI tools to communicate insights.
Perform data quality checks and resolve data inconsistencies.
Translate business requirements into data analysis and reporting solutions.
Prepare regular and ad-hoc analytical reports for stakeholders.
Collaborate with business analysts, data engineers, software teams, and management.
Support KPI development, performance tracking, and business intelligence initiatives.
Document data sources, processes, reports, and analytical methodologies.
Assist with automation and improvement of recurring reporting processes.

Required Skills

Strong analytical and problem-solving skills.
Knowledge of SQL and relational databases.
Proficiency in Microsoft Excel.
Experience or knowledge of Power BI, Tableau, or other BI platforms.
Understanding of data analysis, data visualization, and reporting.
Basic knowledge of data warehousing and ETL concepts.
Ability to work with large datasets and identify meaningful insights.
Strong communication and presentation skills.
Attention to detail and ability to manage multiple priorities.

Preferred Skills

Python or R for data analysis.
Knowledge of AWS, Azure, or Google Cloud.
Familiarity with data modeling and business intelligence concepts.
Knowledge of statistical analysis and forecasting.
Experience with tools such as Snowflake, Databricks, or BigQuery.
Understanding of AI/ML concepts and their application to business data.

Education

Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Business Analytics, or a related field.
Master's degree is a plus but not required.

Experience

Entry-level candidates and entry level candidates are encouraged to apply.
Internship, academic, project, or hands-on experience with data analysis is a plus.

Core Technologies

Dice Id: 91165400
Position Id: #4314
Posted 1 day ago

Company Info

About NET2ASPIRE LLC

Gen AI/ML Engineer - Entry Level

Remote

•

17d ago

We are seeking an entry-level Gen AI / Machine Learning Engineer to join our technology team. The ideal candidate will work on developing, integrating, testing, and deploying machine learning and Generative AI solutions. This role provides an opportunity to work with modern AI technologies, large language models, data pipelines, and cloud platforms. Key ResponsibilitiesDevelop, train, test, and optimize machine learning models for business applications. Build and integrate Generative AI and LLM-

Easy Apply

Contract

33 - 40

Data Intelligence Analyst

Skills

Summary

Key Responsibilities

Required Skills

Preferred Skills

Education

Experience

Core Technologies

Dice Job Match Score™

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Data Intelligence Analyst

NET2ASPIRE LLC

Job Details

Skills

Summary

Key Responsibilities

Required Skills

Preferred Skills

Education

Experience

Core Technologies

Company Info

About NET2ASPIRE LLC

Dice Job Match Score™

Similar Jobs