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Data Analyst Computer Science Jobs in Iowa (NOW HIRING)

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Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science or related field ... analytics * Experience with cloud providers (AWS preferred). What will set you apart? * A track ...

Berkshire Hathaway Energy

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

The sr data scientist is a member of the Data and Analytics Information Technology team, having a ... Qualifications Bachelor's degree in computer science, mathematics, software engineering or a ...

Wellmark, Inc.

Data Science Associate

Des Moines, IA · On-site

$21/hr

... computer science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics ...

Wellmark, Inc.

Data Science Associate

Des Moines, IA · On-site

$57K - $58K/yr

... computer science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics ...

Deloitte

Data Product Analyst

Davenport, IA · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... As an experienced Data Product Analyst - Analyst, you will have the opportunity to share new ideas ...

Deloitte

Data Product Analyst

Des Moines, IA · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... As an experienced Data Product Analyst - Analyst, you will have the opportunity to share new ideas ...

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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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What job categories do people searching Data Analyst Computer Science jobs in Iowa look for? The top searched job categories for Data Analyst Computer Science jobs in Iowa are:
What cities in Iowa are hiring for Data Analyst Computer Science jobs? Cities in Iowa with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Data Scientist

Data Scientist

U.S. Department of Agriculture (USDA)

Urbandale, IA • On-site

$61K/yr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Public Service Loan Forgiveness Program and Creditable Service for Annual Leave Accrual are available.
This position is in the FSIS Office of Planning, Analysis and Risk Management (OPARM), which leads FSIS efforts related to data analysis and advanced analytics.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and/or education, as defined below.
Applicants must have one year of specialized experience equivalent to the GS-07 grade level in the Federal service or equivalent responsibility in the private sector/pay systems. This specialized experience must include all the following:
  • Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL.
  • Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc.
  • Training or experience extracting and transforming data from relational databases using Python, R, SAS, or SQL.
To substitute education for experience, you must meet at least one of the individual occupational requirements identified in the education section of the announcement.
AND
You must possess a master's or equivalent graduate degree or 2 years of progressively higher-level graduate education leading to a master's degree. This education demonstrates the knowledge, skills, and abilities necessary to do the work of this position.
OR
Combination of Experience and Education: You must have an appropriate combination of successfully completed graduate level education and experience. The quality of the combination of education and experience must be sufficient to demonstrate that you possesses the knowledge, skills, and abilities required to perform work in the occupation. To determine your combination, first compute your experience as a percentage of the experience listed in the job announcement (1 year of specialized experience); then determine your education as a percentage of the education listed above; then add the two percentages. The total percentages must equal at least 100 percent. Only graduate education in excess of 1 year (18 semester hours) may be used to qualify.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Basic Requirements:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
or
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Click here for more information on this series: OPM Data Science Series 1560Employment Type: OTHER

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