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Remote Mobile Analytics Engineer Jobs (NOW HIRING)

Remote Travel Requirements : 2 to 4 times per year Job Summary We are seeking an experienced and visionary Senior Analytics Engineer to design, build, and own end-to-end data solutions for our Core ...

Analytics Engineer Sr - Remote

Home, WA · Remote

$108K - $184K/yr

Job Posting Title Analytics Engineer Sr - Remote The Senior Analytics Engineer is an integral member of the data analytics organization and is responsible for managing, optimizing, overseeing and ...

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How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Staff Analytics Engineer

$159K - $187K/yr

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve ... Within the Data Engineering organization, Analytics Engineering turns raw, domain-owned data into a ...

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$130K - $170K/yr

Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy ... Remote friendly (anywhere in the US) and office friendly - you pick the schedule * Flexible time ...

As Senior Analytics Engineer, you will work alongside the Analytics and Visualization team and ... Ability to work effectively in a remote-first environment, ensuring high-quality virtual ...

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... The Analytics Engineer will turn raw voter, district shape, and product data into clean, well ...

We are looking for an Analytics Engineer to support our mission to awaken and fuel the lifelong ... Flexible + Remote Work Opportunities * Unlimited Paid Time Off (PTO) * Employer Assistance Program ...

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Remote Mobile Analytics Engineer information

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How much do remote mobile analytics engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote mobile analytics engineer in the United States is $60.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $78.37 per hour, depending on experience, location, and employer.
What cities are hiring for Remote Mobile Analytics Engineer jobs? Cities with the most Remote Mobile Analytics Engineer job openings:
What are the most commonly searched types of Remote Analytics Engineer jobs? The most popular types of Remote Analytics Engineer jobs are:
What states have the most Remote Mobile Analytics Engineer jobs? States with the most job openings for Remote Mobile Analytics Engineer jobs include:
Infographic showing various Remote Mobile Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $125,095 per year, or $60.1 per hour.
Lead Analytics Engineer (REMOTE)

Lead Analytics Engineer (REMOTE)

Dick's Sporting Goods

Coraopolis, PA • On-site, Remote

$97K - $128K/yr

Full-time

Re-posted 3 days ago


Dick's Sporting Goods rating

6.5

Company rating: 6.5 out of 10

Based on 1,144 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers


Job description

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!
OVERVIEW:
Job Purpose:
As a Lead Analytics Engineer, you will act as a SME in Analytics Engineering, BI, and data domain to support enterprise business needs. Mentor and advise Analytics Engineering team members and lead design and development standards and practices for data modeling and BI dashboards, data visualizations, and applications and ensure adoption by the team.
Job Responsibilities:
Data Modeling and Visualization
  • Drive the design of highly complex data models and BI applications to enable easy consumption and analysis.
  • Select appropriate data and BI tools and technologies to implement solutions, implementing and documenting industry best practices to be used by the team.

Functional/Technical Requirements
  • Leverage advanced experience, knowledge, and skillset in Analytics Engineering and data domain to drive functional and technical requirements for Analytics Engineering as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers.
  • Act as a SME for data and business needs within domain.

Program/Portfolio Management Support
  • Contribute to the management of a portfolio of programs while reporting to and in partnership with senior teammates.
  • Support production processes and advise team on troubleshooting and resolutions to reduce incidents.
  • Train engineering teammates in coding, data modeling, and BI development best practices and conduct code review ensuring repeatable and easy-to-maintain processes are implemented amongst the team.

Technical Developments Recommendation
  • Discuss and recommend advanced and innovative data and BI solutions to better meet business, performance, and/or quality needs.
  • Recognize opportunities for better process improvements and work with senior teammates to implement.

Ongoing Learning and Development
  • Explore and develop detailed understanding of external developments or emerging issues and evaluate impact to the organization and team. Identify gaps in current solutions and BI tools and technologies.
  • Recommend new technologies needed to accelerate the business.
  • Develop cost/benefit analysis and assist in implementation of new tools and platforms.

Technology Experience
  • Expert-level experience with: Business Intelligence (BI) tools (e.g. Microsoft Power BI, Qlik Sense, Looker, Tableau); Cloud platforms (e.g. Microsoft Azure, Google Cloud Platform (GCP); Cloud data warehouses (e.g. Snowflake, Google BigQuery); Databases (e.g. Oracle); Version control systems and CI/CD (e.g. GitHub, GitHub Actions)
  • Expert development experience in SQL required.
  • Fully competent-level of Python development and data architecture experience preferred.

QUALIFICATIONS:
  • Bachelor's Degree or Equivalent Level Preferred
  • 6-10 years of experience

#LI-FD1
VIRTUAL REQUIREMENTS:
At DICK'S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
  • Cameras must be on during all virtual interviews.
  • AI tools are not permitted to be used by the candidateduring any part of the interview process.
  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone!

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