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Data Analyst Computer Science Jobs in Ohio (NOW HIRING)

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred. * Typically requires a minimum of 5 years of related ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · On-site

$57/hr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Proven 3-5 years of experience in a Data Analyst role. * Strong proficiency in AWS services (S3, Redshift, Lambda ...

Collabera

Data Analyst

Hilliard, OH

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

centralins

Data Analyst

Dublin, OH · Hybrid

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

centralins

Data Analyst

Dublin, OH · Hybrid

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

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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 Computer Science jobs near you
Senior Data Analyst

Senior Data Analyst

Narwal

Mason, OH • On-site

$80K - $102K/yr

Full-time

Re-posted 9 days ago

Job description

Responsibilities:

  • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
  • Interprets and communicates insights to product, service and business management.
  • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
  • Develops in-depth understanding of underlying data, data structures, and business uses of data.
  • Develop functional understanding of the business and apply towards building business facing marts
  • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
  • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
  • Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
  • Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
  • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
  • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
  • Experience in data mining and root cause analysis preferred
  • Ability to work in a fast-paced and dynamic environment
  • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.