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Data Analyst Computer Science Jobs in Kentucky (NOW HIRING)

Bachelor''s or Master''s degree in Analytics, Information Systems, Data Science, Business, or a related discipline. * Strong experience with Power BI, data visualization, and business intelligence ...

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Data Analyst Computer Science information

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst II

Contractor

Posted 29 days ago


Job description

Data Analyst II | Lexington, Kentucky, United States [About the Role] Join our dynamic team in Lexington, KY, as a Data Analyst II. In this hybrid contract position, you'll work onsite during training, then transition to a flexible schedule. You'll play a pivotal role in transforming raw data into actionable insights that drive business decisions for critical ERP management processes. This is a fantastic opportunity to develop your skills with leading technologies like Oracle, SAP, and Maximo, while gaining exposure to impactful business operations. [Responsibilities] - Aggregate, cleanse, and analyze complex datasets from multiple sources to support ERP management - Build and report on key business performance indicators related to financials, material tracking, and end-to-end communication - Support regulatory and customer reporting, ensuring accuracy and compliance - Collaborate with project teams to provide business-critical data analyses and reporting - Extract meaningful insights to inform strategic business decisions [Required Skills and Experience] - Bachelor's degree in data science, computer science, or a similar field - 2-5 years of hands-on experience in data analytics or data science - Proficiency with Microsoft Office Suite, Oracle, and SAP - Proven ability to compile, cleanse, and prepare large datasets for analysis - Strong analytical mindset with a track record of deriving insights from complex data [Preferred Skills] - Experience with Maximo - Background in warehousing or inventory analytics - Engineering or technical training [Benefits] - Hybrid work model after initial training - Exposure to advanced ERP systems and high-impact business projects - Professional growth opportunities in data analytics and business intelligence - Collaborative and supportive team environment [How to Apply] Ready to advance your data analytics career? Submit your updated resume and a brief cover letter detailing your relevant experience. We're excited to see how you can make a difference in our data-driven organization! :

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US