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Data Analytics Jobs in Pocatello, ID (NOW HIRING)

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data across the Credit Union. This role involves monitoring all stages of data processing to ...

... analytics outputs during testing and ongoing operations to ensure data accuracy and usability. * Execute testing, training, and operational readiness for platform changes by leading business user ...

Compliance Skills in Data Analytics and AI (Entry-Level Focus) * Use basic data collection methods to support compliance monitoring efforts. * Assist with maintaining records related to AI and ...

Data Analytics: Utilize spreadsheets and basic analytics tools (e.g., Excel, Power BI) to organize, analyze, and report financial data relevant to compliance functions. * Risk Assessment: Participate ...

Data Analytics: Utilize spreadsheets and basic analytics tools (e.g., Excel, Power BI) to organize, analyze, and report financial data relevant to compliance functions. * Risk Assessment: Participate ...

Data Analytics: Utilize spreadsheets and basic analytics tools (e.g., Excel, Power BI) to organize, analyze, and report financial data relevant to compliance functions. * Risk Assessment: Participate ...

Power BI Intern

Pocatello, ID ยท On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

2027 Intern - Technology

Pocatello, ID ยท On-site

$14.75 - $19.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

New

You will be responsible for collecting and analyzing a variety of intelligence data, and processing, tracking and inputting warrants into the National Crime Information Center (NCIC) database. Duty ...

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Data Analytics information

See Pocatello, ID salary details

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How much do data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics in Pocatello, ID is $51.47, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $58.32 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Pocatello, ID?

The most popular types of Data Analytics jobs in Pocatello, ID are:

What job categories do people searching Data Analytics jobs in Pocatello, ID look for?

The top searched job categories for Data Analytics jobs in Pocatello, ID are:

What cities near Pocatello, ID are hiring for Data Analytics jobs?

Cities near Pocatello, ID with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Pocatello, ID as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,955 per year, or $53.8 per hour.

Data Quality Analyst

ICCU

Chubbuck, ID โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data across the Credit Union. This role involves monitoring all stages of data processing to identify and resolve data quality issues, ensuring compliance with data governance policies, and supporting data driven decision-making.
Duties and Responsibilities Include:
  • Define and track data quality assurance activities to ensure that data processing meets quality standards.
  • Create detailed, well-structured data validation and quality control test cases based on project specifications to address all potential data quality scenarios.
  • Work closely with data engineers, data scientists, and the Enterprise Data and Department Data analysts to ensure data quality processes are comprehensive in design and coverage.
  • Conduct research in data quality tools and technologies to improve efficiency and capability.
  • Create data quality plans to mitigate risks associated with data processing and integration.
  • Update data validation rules and test cases when data requirements change.
  • Maintain a repository of data quality test cases in an organized fashion.
  • Coordinate data quality test execution with other resources.
  • Execute data validation and quality control test cases.
  • Develop and execute exploratory and automated tests to ensure data quality.
  • Provide training on data quality processes, validation rules, and quality assurance techniques.
  • Update ICCU Data Quality procedures and processes to ensure effectiveness.
  • Isolate, replicate, and report data quality issues to applicable management.
  • Verify data quality issue fixes.
  • Hold and facilitate data quality plan/case reviews with cross-functional team members.
  • Oversee all data quality testing including functional, regression, and system testing of data processing projects, data integration, and data migration.
  • Work closely with project teams to ensure data quality requirements, solutions, and execution meet quality objectives, project scope, and delivery dates.
  • Provide input on data requirements and potential data quality issues.
  • Data processing sign-off, including outstanding data quality issues and analyst recommendation on promotion to production.
  • Manage data quality projects from inception to delivery, including defining scope, deliverables, requirements and/or functional specification documentation, schedules, resources, budget, and success metrics.

Qualifications:
  • Bachelor's degree and 5+ years of relevant experience is required. Preference is given for degrees in Data Science, Computer Science, Information Systems, or related fields, or a data quality assurance certificate.
  • The candidate should have strong leadership and analytical skills, experience managing data quality projects, and advanced knowledge of data quality concepts and tools.
  • Excellent math skills and computer knowledge. Excellent communication and interpersonal skills. Ability to always maintain the confidentiality of Credit Union and member records.

Performance Standard:
  • A demonstrated cooperative and positive attitude toward members and other Credit Union staff.
  • Dedicated to serving our internal team members and holding team accountable for the Credit Union's service standard. Be able to diagnose and solve complex problems.
  • Professional appearance, and dependable with attendance, quality, and quantity of work performed.
  • Must comply with the Bank Secrecy Act and USA Patriot Act as implemented by Idaho Central Credit Union.

Physical Requirements:
  • Perform tasks requiring manual dexterity (processing paperwork, filing, stapling, sorting, collating, typing, counting cash, etc.).
  • Sit for extended periods of time.
  • Lift 20-40 pounds of applicable supplies including but not limited to copy paper, cash drawers, marketing material, etc.
  • Repetitive motion using wrists, hands, and fingers.
  • Reach keyboards.
  • Ability to operate basic office machines (calculator, computer, telephone, copy machine, fax machine, etc.).

The above statements reflect the general details considered necessary to describe the essential functions of the job and should not be construed as a detailed description of all the work requirements that may be inherent of the job.
Must be eligible for membership at ICCU to obtain employment.
ICCU is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, age, disability, protected veteran status or other characteristics protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.