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Offshore Data Analyst Jobs in Iowa (NOW HIRING)

Cloudious

Guidewire PolicyCenter Developer

Urbandale, IA · On-site

$70 - $80/hr

Review the Offshore Development work in Areas of PCF Configuration Business Rules and Data Model ... Interact with Analysts and Business Users to translate functional specifications into technical ...

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Offshore Data Analyst information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do offshore data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for offshore data analyst in Iowa is $77,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is an offshore data analyst?

Offshore data analysts are professionals who analyze and interpret data related to offshore operations, such as oil and gas exploration, maritime activities, or renewable energy projects located at sea. They collect, process, and evaluate data from various offshore sources to help companies make informed decisions about safety, efficiency, and productivity. Offshore data analysts often work with specialized software and may collaborate with engineers, geologists, or project managers to provide actionable insights. Their role is crucial in ensuring that offshore projects are both cost-effective and compliant with industry regulations.

What skills and qualifications are needed to thrive as an offshore data analyst?

To excel as an Offshore Data Analyst, you need strong analytical abilities, a solid background in statistics or mathematics, and often a relevant degree such as in data science, computer science, or engineering. Familiarity with data processing tools like SQL, Python, R, and data visualization software, as well as experience with industry-specific databases and possibly certifications like Microsoft Certified Data Analyst Associate, are typically required. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with onshore teams and presenting findings clearly. These competencies ensure accurate data interpretation, effective remote collaboration, and actionable insights that drive decision-making in offshore operations.

What are common challenges faced by offshore data analysts and how can they be addressed?

Offshore Data Analysts often encounter challenges such as time zone differences, communication barriers, and aligning with onshore teams' expectations. To address these, it's important to establish clear communication channels, document processes thoroughly, and participate in regular meetings to stay aligned with stakeholders. Leveraging collaboration tools and proactively seeking feedback can also help ensure that work meets quality standards and deadlines, fostering strong working relationships across locations.

What is the difference between Offshore Data Analyst vs Data Analyst?

AspectOffshore Data AnalystData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are commonSimilar credentials; often holds degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentRemote or offshore teams, often in different time zones, working for international companiesUsually on-site or remote within the same country or region
Employer & Industry UsageHired by multinational companies, outsourcing firms, or global consultanciesEmployed across various industries locally or nationally

Both roles involve analyzing data to support business decisions, but Offshore Data Analysts typically work remotely for international clients or companies, often in different time zones, whereas Data Analysts may work locally or on-site within their country. The core skills and certifications are similar, but the work setting and employer types differ.

What are popular job titles related to Offshore Data Analyst jobs in Iowa?

For Offshore Data Analyst jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Offshore Data Analyst jobs in Iowa look for?

The top searched job categories for Offshore Data Analyst jobs in Iowa are:

What cities in Iowa are hiring for Offshore Data Analyst jobs?

Cities in Iowa with the most Offshore Data Analyst job openings:

Offshore Data Analyst jobs near you

Senior IT Quality Assurance Analyst

BITCO Insurance Companies

Davenport, IA • On-site, Remote

Full-time

Re-posted 8 days ago

Job description

BITCO Corporation, headquartered in Davenport, Iowa, is seeking a Senior IT Quality Assurance Analyst to join our team. With 11 branch offices in 10 states, BITCO provides quality insurance services to special industries including Construction, Forest Products, and Oil & Gas. This position is eligible for a hybrid work schedule.
Position Summary:
Working as part of the Quality Assurance team within our Information Technology department, this position will support the accountable delivery of platforms and applications designed to enhance our users' experience and meet the needs of our business. This team conducts all forms of testing for BITCO's applications with accountability for test strategy, test planning, execution, and test metrics. This team will develop and champion a move from highly manual to highly automated testing. This role will participate in defining comprehensive quality engineering approaches that ensure robust validation of business workflows, scenarios across multiple integrated systems ensuring functional and data coverage using industry leading practices and automation. The QA team is responsible for properly and thoroughly testing and validating applications prior to any production release, while acting as a liaison across all departments to test interfaces or processes while compiling and analyzing information to make improvement recommendations-based findings.
Primary Responsibilities:
  • Define and own end to end test strategy for all platform and application releases, covering multiple aspects of testing to include functional, integration, regression, and non-functional.
  • Develop and conduct system integration and regression testing across multiple applications while ensuring optimal test coverage
  • Help develop and drive an automation-first approach across all aspects of testing relevant to modern and legacy enterprise class applications
  • Participate in the establishment and scaling of a test data strategy including synthetic test data approaches
  • Analyze business requirements/user stories of major planned deliveries to understand the expectations from end-users, review with Business Analysts/SME to design appropriate and comprehensive test scenarios
  • Monitors and updates defect metrics/reports on a regular basis to ensure timely problem identification and resolution/escalation
  • Works closely with our Digital Solutions, SI Partners, offshore teams, and vendors to collaborate on the analysis, design, development, testing, and UAT of our enterprise releases
  • Conducts functional, regression, integration, and system testing on newly designed or modified applications/systems/APIs, etc.
  • Participates and own the communication of analysis of test results and patterns through active engagement and communication using industry standards metrics across entire organization
  • Participate in the process of identifying, evaluating, recommending, implementing, and maturation of automation testing tools
  • Help provide accurate data-based transparent timelines of testing processes, risks, etc. to ensure timelines are realistic without negative impacts to release quality
  • Team responsibility for driving continuous improvement of the QA process and technologies
  • Engage Developers to help perform root cause analysis for defects/bugs and help drive resolution within established SLA
  • Ability to lead or assist with the development of procedures and strategies for Quality Assurance activities based on best practices to ensure continuous improvement
  • Commitment to ensuring end-user experience meets expectations during testing as well as post-implementation by partnering with the business, Digital Solutions, Development, and UAT teams

Qualifications:
  • Minimum 5-7 years' experience with enterprise QA methodologies and problem-solving
  • Experience in Insurance or Financial Services highly preferred
  • Experience in enterprise platforms and applications like Duck Creek, SFDC, ServiceNow, Kalepa, APIs, and EDW environments
  • Enterprise Software testing experience with insurance-based platforms and services
  • Experience with test automation solutions and moving organizations from manual to automated testing
  • Strong analytical skills with extreme comfort with industry standard metrics to communicate with business and technical audiences across key finding and learning
  • Excellent organizational, verbal, and written communication skills
  • Knowledge of lifecycle development, change control management, test planning, test data strategy, and test/defect management
  • Strong ability to multi-task and meet deadlines in a fast-paced environment across multiple projects simultaneously
  • Experience with Azure cloud deployments, CICD, DEVOPS and SOA, event driven applications
  • Capable of working independently, managing priorities, and meeting deadlines with minimal oversight

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