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Data Analyst Computer Science Jobs in Nebraska (NOW HIRING)

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

New

Cnx

Senior Data Analyst

Omaha, NE · On-site

$125K/yr

Bachelor's degree inData Science, Computer Science, Statistics, Engineering, or a related field. * 7+ yearsof experience in data analytics or reporting roles. * Proven experience buildingenterprise ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
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Data Analyst Computer Science jobs near you
Data Analyst

Data Analyst

Lorven Technologies

Omaha, NE • On-site

Full-time

Posted 5 days ago

Job description

Our client is looking Data Analyst for Long term project in Omaha, NE (Onsite) Below is the detail requirement.
Job Title: Data Analyst
Location: Omaha, NE (Onsite)
Job Description:
  • Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making.
  • Design and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned with business requirements.
  • Partner with cross-functional stakeholders (Operations, DQAS, OPCC, Technology teams) to define reporting requirements, KPIs, and success metrics.
  • Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions.
  • Analyze large and complex datasets to identify trends, anomalies, performance gaps, and opportunities for operational improvement.
  • Own data quality validation processes and ensure the accuracy, consistency, and integrity of reporting outputs.
  • Translate complex datasets and analytical findings into clear, actionable insights for business and leadership teams.
  • Drive reporting standardization and automation initiatives to improve efficiency and reduce manual effort.
  • Support incident and operational analysis through data-driven root cause investigations and reporting.
  • Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements.

Required Technical Skills
  • Strong SQL expertise, including complex joins, query optimization, performance tuning, and data validation.
  • Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
  • Proficiency in data analysis, data wrangling, and automation using Python and/or R.
  • Experience working with large-scale datasets, data warehouses, and cloud data platforms such as Snowflake, Azure, and Hadoop.
  • Strong understanding of ETL/ELT processes, data integration, and data modeling concepts.
  • Advanced Microsoft Excel skills for reporting, validation, and ad-hoc analysis.
  • Experience implementing and maintaining data quality frameworks and validation methodologies.

Preferred Skills
  • Experience supporting operational and real-time reporting environments.
  • Familiarity with railroad, logistics, transportation, or similar operational datasets.
  • Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.
  • Understanding of event-driven architectures, streaming data, and real-time analytics.

Soft Skills
  • Strong stakeholder communication skills with the ability to translate technical findings into business value and impact.
  • Ability to work effectively across business and technology teams without direct authority.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Self-motivated and capable of operating in fast-paced, ambiguous, and evolving environments.

Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles.
  • Proven experience designing and delivering enterprise-scale reporting and analytics solutions.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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