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Data Intelligence Analyst Jobs (NOW HIRING)

At least 7 years of experience in data analytics, business intelligence, data engineering, or data science. * Strong hands-on experience with Power BI, including data modeling, DAX, and dashboard ...

As a Data Intelligence Analyst I, you will help transform complex Chinese- and English-language data into intelligence that enables Strider's clients to better understand economic statecraft risks to ...

As a Data Intelligence Analyst II, you will collect, analyze, enrich, and integrate data to help Strider's clients understand economic statecraft risks to their organizations. With a primary focus on ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

Data Intelligence & Analytics * Convert operational, engineering, quality, and business data into actionable insights. * Drive data quality, governance, and standardization across global sites.

Data Intelligence & Analytics * Convert operational, engineering, quality, and business data into actionable insights. * Drive data quality, governance, and standardization across global sites.

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 ... Investigate and interpret logistics data to create clear and concise executive summary memos ...

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 ... Investigate and interpret logistics data to create clear and concise executive summary memos ...

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 ... Investigate and interpret logistics data to create clear and concise executive summary memos ...

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 ... Investigate and interpret logistics data to create clear and concise executive summary memos ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Data Intelligence LLC Job Openings >> Senior Data Analyst Senior Data Analyst Summary Title: Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is ...

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About ...

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Data Intelligence Analyst information

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How much do data intelligence analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data intelligence analyst in the United States is $82,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a data intelligence analyst?

Data Intelligence Analysts are professionals who collect, analyze, and interpret large sets of data to help organizations make informed decisions. They use various data tools and methodologies to identify trends, patterns, and insights that can improve business operations, strategy, and competitiveness. Their work often involves cleaning and organizing data, creating reports or dashboards, and communicating findings to stakeholders. Data Intelligence Analysts play a crucial role in helping companies leverage data for strategic advantage.

How does a data intelligence analyst typically collaborate with other departments within an organization?

Data Intelligence Analysts frequently work cross-functionally, partnering with teams like marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often attend meetings with stakeholders to discuss business objectives, clarify reporting requirements, and present findings. Collaboration is key, as analysts must communicate complex data trends in a clear way to non-technical staff and ensure that their analyses align with broader organizational goals. This teamwork helps drive data-driven decision-making across various departments.

What are the key skills and qualifications needed to thrive as a data intelligence analyst, and why are they important?

To thrive as a Data Intelligence Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by a relevant degree. Familiarity with tools like SQL, Python, Tableau, and data warehousing systems, as well as certifications such as Certified Analytics Professional (CAP), is often required. Excellent problem-solving, communication, and critical thinking skills help analysts translate complex data into actionable business insights. These abilities are essential for driving data-driven decision-making and delivering impactful results to organizations.

Are data intelligence analysts paid well?

Data intelligence analysts typically earn competitive salaries that vary based on experience, education, and location. They often require skills in data analysis tools like SQL, Python, or Tableau, and certifications can enhance earning potential. Overall, the role is considered well-compensated within the data and analytics field.
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What states have the most Data Intelligence Analyst jobs?

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What are popular job titles related to Data Intelligence Analyst jobs?

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Infographic showing various Data Intelligence Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,454 per year, or $39.6 per hour.

Data Intelligence Analyst

Eagan, MN โ€ข On-site, Remote

Horizontal Talent
Recruiting and Staffing Servicesย โ€ขย 201 - 500 employees

Full-time

Re-posted 11 hours ago


Job description

Bring your data expertise to a high-impact analytics role focused on turning complex information into clear, actionable insights. This position offers the opportunity to build modern dashboards, shape scalable data solutions, and support AI-enabled decision-making across business and regulatory functions.

Responsibilities
  • Design and deliver interactive Power BI dashboards and semantic models that provide meaningful insights to business leaders.
  • Develop and optimize data pipelines using SQL, Python, and modern scripting approaches for structured and unstructured data.
  • Support cloud-based analytics solutions across platforms such as Snowflake, Azure Synapse, Microsoft Fabric, or Databricks.
  • Contribute to AI and machine learning initiatives, including predictive analytics, anomaly detection, natural language query, and generative AI use cases.
  • Work with APIs and JSON-based data flows to connect enterprise systems and support analytics integrations.
  • Perform data quality, governance, and metadata assessments to help ensure reliable and standards-aligned data.
  • Partner with business, master data, IT, quality, and governance teams to define KPIs, data products, and reporting needs.
  • Help promote self-service analytics by training users on Power BI, Copilot, and related tools.
  • Support cloud and AI transformation efforts, including data platform modernization and adoption of responsible AI practices.
Skills
  • Bachelorโ€™s degree in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field.
  • At least 7 years of experience in data analytics, business intelligence, data engineering, or data science.
  • Strong hands-on experience with Power BI, including data modeling, DAX, and dashboard design.
  • Proficiency in SQL and at least one programming language, with Python preferred.
  • Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric.
  • Ability to build, transform, and analyze data using tools such as Pandas or PySpark.
  • Strong problem-solving skills with the ability to translate business needs into data-driven solutions.
  • Comfort working across teams and communicating technical concepts clearly to different audiences.
Preferred Skills
  • Masterโ€™s degree in a quantitative or related field.
  • Exposure to Power BI Fabric, Copilot, or embedded analytics.
  • Experience with API integrations and JSON-based data processing.
  • Familiarity with AI/ML concepts, generative AI tools, or platforms such as Azure OpenAI or AWS Bedrock.
  • Understanding of data governance, data quality, lineage, and metadata management.
  • Experience with large-scale data analysis that supports strategic decisions and operational improvements.
  • Background in feature engineering, predictive modeling, anomaly detection, or NLP use cases.
  • Interest in streaming or near real-time data pipelines and scalable processing frameworks.

Horizontal is committed to fostering a welcoming, inclusive workplace where diverse perspectives are valued and everyone has the opportunity to contribute and grow. We encourage candidates from all backgrounds to apply and bring their unique experience, ideas, and strengths to the team.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.