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Remote Analytics Engineer Jobs in Lawrence, KS (NOW HIRING)

Booz Allen Hamilton, Inc.

ARCHER Engineer

Leavenworth, KS · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0244060 Location: Leavenworth,KS,US Share job via: Share ARCHER ... analytics and rich visual products that drive exercise management, leader briefs, and After Action ...

asrcfh

Appian Analyst

Leavenworth, KS · Remote

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint ...

NinjaOne

Senior Site Reliability Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Perform Root Cause Analysis (RCA) and provide recommendations for application teams * Improve ...

Kiewit Corporation

Lead Electrical Engineer

Lenexa, KS · On-site +1

$150K - $156K/yr

... remote work from home within the Continental US, with up to 20% travel to Kiewit offices ... Perform ETAP analysis and simulation, system modeling, protection coordination, reliability studies ...

New

NinjaOne

Senior Software Engineer, Java | Backup

Kansas, KS · Remote

$110K - $145K/yr

Debug and profile production Java services using tools like New Relic and structured log analysis ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The Director will manage a small team of data analysts and engineers and will work closely with an ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

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Showing results 21-40

All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Lawrence, KS

Remote Analytics Engineer information

See Lawrence, KS salary details

$42.9K

$87.9K

$127.8K

How much do remote analytics engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote analytics engineer in Lawrence, KS is $87,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $111,300.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What are popular job titles related to Remote Analytics Engineer jobs in Lawrence, KS? For Remote Analytics Engineer jobs in Lawrence, KS, the most frequently searched job titles are:
What cities near Lawrence, KS are hiring for Remote Analytics Engineer jobs? Cities near Lawrence, KS with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Olathe, KS • Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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