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Learning Analytics Remote Jobs in Iowa (NOW HIRING)

Cardinal Health

Senior Data/AI Engineer

Des Moines, IA · Remote

$103.40K - $140.50K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Bachelor's degree in Computer Science, Machine Learning, Analytics, Engineering, or a related field ...

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EnthuZiastic

Growth Hacker - Remote

Clinton, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Waterloo, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Iowa City, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Sioux City, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Des Moines, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Cedar Rapids, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Davenport, IA · Remote

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

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Learning Analytics Remote information

What are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What is a Learning Analytics Remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.
What are popular job titles related to Learning Analytics Remote jobs in Iowa? For Learning Analytics Remote jobs in Iowa, the most frequently searched job titles are:
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What cities in Iowa are hiring for Learning Analytics Remote jobs? Cities in Iowa with the most Learning Analytics Remote job openings:
Learning Analytics Remote jobs near you
Hardware Security and Vulnerability Analyst - Remote

Hardware Security and Vulnerability Analyst - Remote

Delphi Technologies

Des Moines, IA • Remote

Full-time

Posted 21 days ago

Job description

Hardware Security and Vulnerability Analyst - Remote EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. EndoSec LLC, Remote.

Preferred Skills: C/C++, Python, assembly, IDA Pro, Ghidra, FPGA, cryptography, hardware, embedded software, hardware security, reverse engineering, side channel attacks, fault injection. Travel required up to 20%. Must be able to apply for and maintain a U.S.

Government Security Clearance. The EndoSec Hardware Security and Vulnerability Analyst is responsible for extracting and analyzing firmware and data at rest, identifying vulnerabilities in software, firmware, and hardware, and developing proof‐of‐concept exploits. The candidate will collaborate with other engineers and security experts to find and exploit security flaws and vulnerabilities within devices and designs as well as to build secure and efficient systems, contributing to our products and services' ongoing security and privacy.

This is a remote position. Key Responsibilities System Analysis: Analyze systems to understand functionality, failure points, and consequences of failure. Security Measure Circumvention: Bypass implemented security measures to gain access to sensitive data, including enabling debugging, forging or bypassing signatures, gaining elevated privileges, and simulating environmental and working conditions.

Binary Code Extraction and Analysis: Extract firmware, executables, and other sensitive data from embedded systems and analyze the extracted code for possible vulnerabilities and sensitive data, e.g. passwords, cryptographic keys, etc. Side‐Channel Analysis and Fault Injection: Setup and perform side‐channel analysis to recover sensitive data, e.g.

cryptographic keys, sensitive plaintext, etc. Perform fault injection attacks to bypass security measures and/or recover sensitive data. Exploit Development: Develop custom and novel exploits to bypass security measures, recover sensitive data, or gain elevated privileges in embedded systems.

Documentation: Prepare detailed documentation, including physical setups, testing procedures, and user guides, for reproducibility of results and maintenance. Continuous Learning: Stay current with the latest advancements in reverse engineering and hardware security to continually refine and enhance skills. Position Requirements Ability to obtain and maintain a US government security clearance.

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. Experience reverse engineering embedded systems using standard tools such as IDA Pro, Ghidra, etc. Experience working with FPGAs, hardware description languages (VHDL, Verilog), microcontrollers, SoCs, and related hardware (Flash, SRAM, DRAM, etc.).

Strong programming skills in scripting languages (Python, JavaScript, bash) and C/C++ for hardware/software integration. Experience with standard interfaces (AXI, SPI, UART, JTAG). Strong analytical and problem‐solving skills, with the ability to understand complex software and hardware designs.

Strong documentation skills and the ability to convey complex information clearly and effectively. Collaborative mindset and excellent communication skills to work effectively with cross‐functional teams. Experience in hardware security and reverse engineering techniques.

Preferred Qualifications Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, or a related field. Knowledge of cryptographic algorithms and experience implementing mathematical algorithms in hardware or software.

Experience in tamper detection and anti‐reverse engineering techniques. #J-18808-Ljbffr

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