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Full Time Data Analytics Jobs in Iowa (NOW HIRING)

Data Scientist 1

Des Moines, IA · On-site +1

$81K - $124K/yr

One year of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described ...

Data Engineer

West Des Moines, IA

$112K - $135K/yr

Proactively monitor pipelines, perform root cause analysis for performance issues, and implement ... every full-time employee's 401k. This means, even if you're not in a position to set money aside ...

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Full Time Data Analytics information

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in data analytics depends on skills such as data interpretation, statistical knowledge, and proficiency with tools like Excel, SQL, or Python, regardless of personality type. Many personality types, including ISFJs, can excel in data analysis with appropriate training and experience.

Is a data analyst a full-time job?

A data analyst position is typically a full-time role, involving standard working hours such as 40 hours per week. Many data analysts work in office or remote environments, utilizing tools like Excel, SQL, and data visualization software, and may require relevant certifications or skills. However, some organizations also offer part-time or contract opportunities depending on their needs.

What are the key skills and qualifications needed to thrive as a Full Time Data Analytics professional, and why are they important?

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data environment.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What are Full Time Data Analytics jobs?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

Is 40 too late for data science?

Full Time Data Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, R, and SQL, along with gaining certifications or practical experience, can help offset age concerns and improve job prospects.

What are some common challenges faced by professionals in full-time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.
What are the most commonly searched types of Data Analytics jobs in Iowa? The most popular types of Data Analytics jobs in Iowa are:
What cities in Iowa are hiring for Full Time Data Analytics jobs? Cities in Iowa with the most Full Time Data Analytics job openings:
Data Analyst - Iowa

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Ruan Transportation Management Systems rating

7.2

Company rating: 7.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

172nd of 341 rated logistics


Job description

This is a full-time position working on-site at Ruan Center located downtown Des Moines, IA
PowerBI and SQL experience is a must.
This position is responsible for collecting, analyzing, and interpreting data to transform it into valuable information that enhances data-informed, business decision-making. This role involves working with large datasets, developing complex reports and dashboards, and providing actionable insights to support the company's customers and operations. It collaborates with various business operations to support and improve operational efficiency. By leveraging advanced analytical techniques and tools, the position ensures data integrity and delivers meaningful insights that drive strategic initiatives. This role requires a commitment to learning and growing in analytical skills, while adhering to the company's values and guiding principles.
Responsibilities:
Carrying out the Company's organizational values and operating in accordance with applicable laws, regulations, and Company policies are required functions. Essential and other important responsibilities and duties may include, but are not limited to, the following:
  • Data Collection and Transformation: Extract, clean, and transform data for complex analyses and large datasets. Automate repetitive tasks in data preparation, applying best practices in coding and documentation. Ensure data integrity and accuracy by maintaining databases and performing regular audits.
  • Power BI Development: Build, develop, and maintain reports and dashboards, leveraging reporting tools to perform advanced data field transformations and to create sophisticated and streamlined data models. Provide meaningful insights to leadership and other stakeholders using data from a variety of sources to tell a compelling story for data-informed decision-making.
  • Data Exploration and Analysis: Conduct in-depth analysis to uncover deeper insights and actionable recommendations for business units. Apply statistical techniques and advanced exploratory data analysis (EDA) to provide nuanced insights that answer key business questions to improve operations through descriptive and diagnostic analytics.
  • Cross-Functional Collaboration: Work with operations teams to establish business needs and to develop and understand product specifications. Present insights and visualizations to stakeholders, explaining the methodology and business implications of findings. Develop awareness of and familiarity with issues and events affecting the organization, department, and/or customer. Collaborate closely with data engineering teams to communicate data requirements and address data quality issues.
  • Report Presentation and Documentation: Present findings in a clear, concise format, preparing visualizations and summaries for stakeholder meetings. Document methods used and steps taken in analyses, maintaining organized records of data sources and transformations. Ensure accuracy and clarity in all reports and documentation.
  • Database Applications: Use and support database applications and analytics tools. Assess data systems and programs.
  • Continuous Improvement: Identify opportunities for process improvements and assist in implementing solutions. Research new data sources and analytical tools, exploring new data collection and analysis processes.
  • Perform other job-related duties and special projects as required.

Job Requirements/Minimum Qualifications:
Education: Bachelor's Degree or equivalent work experience
Course(s) of Study: Mathematics, Statistics, Computer Science, Data Analytics, or a related field.
Experience: 3-5 years
Type of Experience: Experience in data analysis and reporting.
Required Knowledge, Skills, and Abilities:
  • Must be able to commit to Ruan's value statement by acting with integrity in everything we do.
  • Must be able to meet behavioral expectations and perform in alignment with our guiding principles: safety, people, customer, performance, and continuous improvement.
  • Demonstrate strong analytical and problem-solving abilities, with the ability to conduct in-depth data analysis and generate actionable insights independently.
  • Proficient in SQL, data querying, and data visualization tools, such as Power BI. Advanced skills in data cleaning, transformation, and automation.
  • Exhibit clear communication skills, both written and oral, and interpersonal skills with the ability to convey analytical findings to non-technical audiences and collaborate effectively with cross-functional teams.
  • Maintain detailed and accurate documentation of methods and processes, ensuring clarity in all reports and records.
  • Develop an intermediate understanding of the company's core services and how data analysis supports business operations.
  • Show flexibility and adaptability in handling changing business needs and priorities, and in learning new tools and techniques to enhance data analysis capabilities.

Physical Demands of the Job:
Team member must be able to twist, bend, pull, push and lift up to 25 pounds. May work in excess of 8 hours per day, 40 hours per week, as required to perform essential functions. Team member will be required to stand, walk, sit, use fingers, reach with hands and arms, stoop, kneel, and crouch. Team member will present a neat, clean appearance of self, and use professional business etiquette and language. Must be able to operate office equipment; including telephone, copy/fax machine, personal computer, have reasonable accuracy and speed on ten key skills or/and keyboarding.
Environmental Demands of the Job:
Typical office environment
Reporting Relationships:
Reports To: Manager, IT or Director, IT
Direct Reports: None
Benefits:
Ruan provides benefits which include: Medical, Dental, Vision, Disability, Life, as well as 401k and Paid Time off.

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