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

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... Must be a registered professional engineer * 4+ years of related Geotechnical analysis and design ...

You will research vendor applications, analyze installers, and build package metadata that powers ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

You will research vendor applications, analyze installers, and build package metadata that powers ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Senior Fire Life Safety Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

Some consideration may be made for highly skilled and Lead engineers in other remote locations. We ... Perform fire hazard analysis for the site to determine hazards and appropriate active and passive ...

Analyze and develop innovative solutions to improve upon existing applications * Work within a team ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

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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:

Quality Analytics Solutions Developer / Power BI Engineer

Kiewit

Lenexa, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th of 80 rated construction


Job description

Requisition ID: 181704 

Job Level: Mid Level 

Home District/Group: Kiewit Quality 

Department: Quality 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

The Quality Analytics Solutions Developer partners with Quality, Technology, and business leaders to transform complex operational data into actionable insights that improve project performance and decision-making. This role develops dashboards, reporting solutions, and analytical tools while integrating data from multiple enterprise systems to create scalable, governed, and reliable analytics that support field teams, district leadership, and corporate stakeholders. Success in this role requires balancing technical expertise with a strong understanding of business processes, helping modernize Quality reporting from manual, fragmented data into a connected enterprise analytics environment.

District Overview

Kiewit’s Quality Group is a shared service that maintains and executes quality standards on projects across the company. Our principal quality objectives are to meet or exceed clients’ expectations and to eliminate rework by performing our work “right the first time.” We monitor our performance against these objectives and require continual improvement.

Location

Preferably this person will be located and work out of the Lenexa, KS or Houston, TX offices. Remote work may be considered.

Responsibilities
  • Design, develop, and maintain dashboards, reports, and analytical solutions that provide meaningful insights into Quality performance across projects, districts, and business units.
  • Retrieve, integrate, validate, and transform data from Snowflake and other enterprise systems to support reporting, analytics, and decision-making.
  • Develop scalable Power BI reports, semantic models, reusable datasets, measures, and visualizations while leveraging the most appropriate technology for each business need.
  • Build analytical solutions using tools such as SQL, Excel, Power Platform, Microsoft Fabric, SharePoint, Dataverse, Python, and other enterprise technologies.
  • Partner with Quality leaders and project teams to understand business processes and translate operational needs into reporting requirements, KPIs, dashboards, and workflow improvements.
  • Identify inconsistencies in source data, reporting definitions, and business processes while developing standardized, governed solutions that improve data quality and reporting accuracy.
  • Validate reporting outputs against source systems and troubleshoot discrepancies to ensure the integrity and reliability of analytics.
  • Support data governance initiatives by documenting definitions, maintaining reporting standards, and promoting consistent metrics across the organization.
  • Develop dashboards and analytical products that highlight trends, risks, leading indicators, and actionable insights rather than simply reporting historical data.
  • Manage reporting environments, including security, access controls, refresh schedules, testing, deployment, and ongoing support.
  • Collaborate with Technology, Data Architecture, and business stakeholders to continuously improve Quality analytics capabilities and reporting solutions.
  • Independently manage multiple priorities while delivering practical, scalable solutions in a fast-paced environment.
Qualifications Required Qualifications
  • Bachelor\'s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Analytics, or a related field, or equivalent professional experience.
  • 5+ years of experience developing business intelligence solutions, dashboards, reports, and enterprise analytics.
  • Advanced SQL experience, including querying, joining, transforming, and validating data within Snowflake or similar cloud-based data platforms.
  • Experience developing Power BI dashboards, semantic models, DAX measures, Power Query transformations, and reusable datasets.
  • Strong understanding of data modeling principles and business intelligence best practices.
  • Advanced Microsoft Excel skills, including Power Query, PivotTables, structured tables, analytical models, and complex formulas.
  • Experience integrating data from multiple enterprise systems, databases, APIs, spreadsheets, SharePoint, and other business applications.
  • Experience with Microsoft Power Platform, including Power Apps and Power Automate.
  • Ability to translate business requirements into scalable reporting and analytical solutions.
  • Strong communication and collaboration skills with both technical and non-technical stakeholders.
  • Demonstrated ability to manage multiple projects and deliver high-quality solutions independently.
Preferred Qualifications
  • Experience with Microsoft Fabric, Azure data services, Dataverse, or similar enterprise data platforms.
  • Experience using Python, R, notebooks, or other analytical programming languages.
  • Understanding of data governance, reporting standards, metadata management, and enterprise data quality practices.
  • Experience developing enterprise dashboards that communicate trends, operational risk, performance metrics, and actionable insights.
  • Background supporting construction, engineering, project execution, quality management, inspections, nonconformance reporting, or operational risk.
  • Experience working with data across multiple business systems where processes, definitions, and data quality vary.

Other Requirements:

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  • Regular, reliable attendance 
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  • Work productively and meet deadlines timely
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  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
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  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
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  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
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  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 


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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884