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Remote Data Analyst Jobs in Lafayette, IN (NOW HIRING)

Amteck, LLC

BIM Technician - Electrical

Lafayette, IN · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Ability to analyze and interpret design information * Attention to detail and ability to work ...

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Lafayette, IN

Remote Data Analyst information

See Lafayette, IN salary details

$32.7K

$79.5K

$130.8K

How much do remote data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data analyst in Lafayette, IN is $79,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Lafayette, IN?

The most popular types of Data Analyst jobs in Lafayette, IN are:

What job categories do people searching Remote Data Analyst jobs in Lafayette, IN look for?

The top searched job categories for Remote Data Analyst jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Remote Data Analyst jobs?

Cities near Lafayette, IN with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Lafayette, IN as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution, with an average salary of $79,511 per year, or $38.2 per hour.

Hardware Security and Vulnerability Analyst - Hybrid (Office/Remote)

EndoSec LLC

Lafayette, IN • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

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.
Description
Hardware Security and Vulnerability Analyst - (Hybrid-Office/Remote)
  • EndoSec LLC,
  • Hybrid (On-Site Office on Purdue University Campus/ some 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%.

Full Time
Must be able to apply for and maintain a U.S. Government Security Clearance
Job Description
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, as well as 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
  1. System Analysis: Analyze systems to understand functionality, failure points, and consequences of failure.
  2. 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.
  3. 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.
  4. Side-Channel Analysis and Fault Injection: Setup and perform side-channel analysis to recover sensitive data, e.g. cryptographic keys, sensitive plaintext, etc. Setup and perform fault injection attacks to bypass security measures and/or recover sensitive data.
  5. Exploit Development: Develop custom and novel exploits to bypass security measures, recover sensitive data, or gain elevated privileges in embedded systems.
  6. Documentation: Prepare detailed documentation, including physical setups, testing procedures, and user guides, for reproducibility of found results and maintenance.
  7. Continuous Learning: Stay current with the latest advancements in reverse engineering and hardware security to continually refine and enhance skills.

Position Requirements
Position Requirements
  1. Ability to obtain and maintain a US government security clearance.
  2. Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
  3. Experience reverse engineering embedded systems including using standard tools such as IDA Pro, Ghidra, etc.
  4. Experience working with FPGAs, hardware description languages (VHDL, Verilog), microcontrollers, SoCs, and related hardware (Flash, SRAM, DRAM, etc.).
  5. Strong programming skills in scripting languages (Python, JavaScript, bash) and C/C++ for hardware/software integration.
  6. Experience standard interfaces (AXI, SPI, UART, JTAG).
  7. Strong analytical and problem-solving skills, with the ability to understand complex software and hardware designs.
  8. Strong documentation skills and the ability to convey complex information clearly and effectively.
  9. Collaborative mindset and excellent communication skills to work effectively with cross-functional teams.
  10. 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.

Full-Time/Part-Time
Full-Time
This position is currently accepting applications.
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About EndoSec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2013

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