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Remote Computer Forensics Analyst Jobs in Iowa (NOW HIRING)

Support the annual budgeting cycles and run rate revenue analysis to ensure funds' financial ... Our Regulatory, Risk, & Forensic Operate offering support to clients by delivering Operate services ...

Support the annual budgeting cycles and run rate revenue analysis to ensure funds' financial ... Our Regulatory, Risk, & Forensic Operate offering support to clients by delivering Operate services ...

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Remote Computer Forensics Analyst information

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$95.5K

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How much do remote computer forensics analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote computer forensics analyst in Iowa is $95,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a Remote Computer Forensics Analyst job?

A Remote Computer Forensics Analyst is a cybersecurity professional who investigates digital evidence to uncover cybercrimes, data breaches, or unauthorized system access. Working remotely, they analyze compromised devices, recover lost or deleted data, and follow forensic protocols to maintain the integrity of evidence. These professionals often collaborate with law enforcement, businesses, or legal teams to provide investigative reports and expert testimony. Their work requires proficiency in forensic tools, cyber investigation techniques, and a strong understanding of legal procedures related to digital evidence.

What are the key skills and qualifications needed to thrive in the Remote Computer Forensics Analyst position, and why are they important?

To excel as a Remote Computer Forensics Analyst, you need expertise in digital investigations, evidence handling, and a strong understanding of operating systems and cybersecurity principles, often supported by a relevant degree or certifications like GIAC, EnCE, or CFCE. Familiarity with forensic analysis tools such as EnCase, FTK, X-Ways, and network monitoring applications is essential. Outstanding analytical thinking, written communication, and attention to detail help professionals stand out, especially when presenting findings or collaborating with remote teams. Mastering these skills ensures accurate forensic investigations, credibility in legal settings, and effective teamwork within a distributed work environment.

What are some of the unique challenges faced by Remote Computer Forensics Analysts, and how can they be managed?

Remote Computer Forensics Analysts often encounter challenges such as securing remote access to digital evidence, coordinating across time zones, and maintaining chain-of-custody protocols without direct on-site access. To manage these issues, professionals rely on secure communication channels, advanced remote access software, and strict adherence to documentation and evidence management procedures. Building strong relationships with on-site IT staff and law enforcement partners is also key to ensuring smooth investigations. While these challenges require adaptability, they also offer opportunities to develop highly sought-after technical and collaboration skills in a flexible, remote work environment.
What are the most commonly searched types of Computer Forensics Analyst jobs in Iowa? The most popular types of Computer Forensics Analyst jobs in Iowa are:
What are popular job titles related to Remote Computer Forensics Analyst jobs in Iowa? For Remote Computer Forensics Analyst jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Computer Forensics Analyst jobs in Iowa look for? The top searched job categories for Remote Computer Forensics Analyst jobs in Iowa are:
What cities in Iowa are hiring for Remote Computer Forensics Analyst jobs? Cities in Iowa with the most Remote Computer Forensics Analyst job openings:
Infographic showing various Remote Computer Forensics Analyst job openings in Iowa as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 72% Full Time, 20% Part Time, and 3% Temporary. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $95,497 per year, or $45.9 per hour.
Principal Data Analyst

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies


Job description

Position Summary
The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross‑functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise‑grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) – health and dependent
Position Responsibilities may include, but not limited to
  • Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack
Required Skills and Experience
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8–10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines
  • Versioning & Reproducibility: Git‑based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts’ craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade‑offs, and uphold high quality standards
Preferred Skills and Experience
  • Master’s degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman’s HCG
  • Product management training or analytics product delivery experience
Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

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