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Remote Google Data Analyst Jobs in Lansing, IL (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Data Analysis Tutor

Chicago, IL · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Analysis Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

... reporting/analytics, big data, and cloud. The Data Architect should understand the system ... Experience designing and scaling databases on cloud computing platforms like Google Cloud Platform ...

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Advanced proficiency in Excel or Google Sheets (formulas, data manipulation, analysis) * Experience ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 21-40

Remote Google Data Analyst information

See Lansing, IL salary details

$33.2K

$80.6K

$132.7K

How much do remote google data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote google data analyst in Lansing, IL is $80,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What does a remote Google Data Analyst do?

A Remote Google Data Analyst is responsible for collecting, processing, and analyzing data to help businesses make informed decisions, all while working from a remote location. They primarily use Google tools like Google Analytics, BigQuery, and Google Data Studio to interpret data and generate actionable insights. Their tasks may include creating reports, visualizing trends, and supporting teams with data-driven recommendations. Effective communication and strong analytical skills are essential for this role. Working remotely, they often collaborate virtually with team members across different locations.

What skills and qualifications are needed to thrive as a remote Google Data Analyst?

To thrive as a Remote Google Data Analyst, you need strong analytical skills, proficiency in data visualization, and a background in statistics or a related field, often supported by a relevant degree or Google Data Analytics Certificate. Familiarity with tools such as Google Analytics, BigQuery, SQL, Tableau, and Excel is crucial for managing and interpreting large datasets. Excellent communication, problem-solving, and self-motivation enable effective collaboration and independent work in a remote setting. These skills ensure accurate data-driven insights, clear reporting, and successful teamwork across distributed teams.

How does a remote Google Data Analyst typically collaborate with team members across different time zones?

As a Remote Google Data Analyst, collaboration often occurs through virtual meetings, shared dashboards, and cloud-based project management tools. You’ll regularly coordinate with cross-functional teams such as marketing, engineering, and product managers by providing data-driven insights and visualizations. Effective communication and flexibility in scheduling are essential, as meetings may be held at varied times to accommodate global teams. Staying proactive in sharing updates and documenting your analyses helps ensure everyone stays aligned despite the distance.

Can I work for Google as a data analyst?

A remote Google Data Analyst role involves analyzing large datasets to support business decisions, often requiring skills in SQL, Excel, and data visualization tools like Tableau or Looker. These positions typically require a relevant degree, experience with data analysis, and the ability to work independently in a remote environment.

What cities near Lansing, IL are hiring for Remote Google Data Analyst jobs?

Cities near Lansing, IL with the most Remote Google Data Analyst job openings:

Infographic showing various Remote Google Data Analyst job openings in Lansing, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,648 per year, or $38.8 per hour.

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 15 days ago


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

117th of 1,064 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: System Pharmacy

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $41.88 - $62.40 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Are you passionate about using data to improve patient care, medication safety, and pharmacy operations? Rush University Medical Center is seeking a Medication and Pharmacy Data Analytics Specialist to help transform complex healthcare data into actionable insights that drive clinical, operational, and strategic decision-making across our growing pharmacy enterprise. 

In this highly collaborative role, you will serve as a key partner between Pharmacy Operations, Pharmacy Informatics, Knowledge Management, and Information Technology teams, leveraging data to optimize medication-use processes, improve clinical workflows, and support enterprise-wide pharmacy initiatives. You will design and develop analytics solutions, build and maintain data integrations, create dashboards and reports, and uncover meaningful trends that help improve patient outcomes and operational performance. 

This position is ideal for a data professional who enjoys solving complex problems, working directly with stakeholders, and translating data into compelling stories and actionable recommendations. You'll have the opportunity to work with leading healthcare technologies, electronic health records, pharmacy systems, and advanced analytics tools while helping shape the future of pharmacy services at a nationally recognized academic health system. 

The ideal candidate combines strong technical expertise in healthcare analytics, data management, and reporting with a passion for collaboration, innovation, and continuous improvement. Experience with healthcare data, pharmacy operations, Epic, SQL, Tableau, and data warehousing environments will position you for success in this role. 

Join Rush and play a critical role in advancing data-driven pharmacy care, improving medication safety, and supporting innovative healthcare solutions that make a meaningful difference for patients and providers every day. The identified candidate exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Responsibilities:
Collaborative Problem Solving

  • Produces deliverables for leadership and communicates with all levels of stakeholders.
  • Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data.

Pharmacy Informatics

  • Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies.
  • Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making.

Data Management and Integration

  • Gather business and data requirements from stakeholders.
  • Captures, develops, and documents data definitions, business rules, and data quality requirements.
  • Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions).
  • Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making.

Data Analysis and Reporting

  • Conducts data analysis in support of a variety of analytic solutions.
  • Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership.
  • Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.

Systems Development and Automation

  • Identifies and defines both process and data improvements.
  • Build and maintain systems to process, integrate, and transform data into robust analytics.
  • Create algorithms or models to predict medication utilization.
  • Work with software developers to integrate data solutions into existing healthcare platforms.

Stakeholder, Regulatory and Clinical Support

  • Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Ensure data accuracy, security, and compliance with regulations.
  • Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives.

Required Job Qualifications:

  • Education: Bachelor’s degree in information science, computer science or related field.
  • Experience: 3 years of data analysis, query design, and reporting experience.
  • Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle.
  • Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment.
  • Strong analytical, multi-tasking and problem-solving skills.
  • Demonstrated experience in requirements gathering and using relational databases.
  • Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
  • Good visual aesthetic sense relative to report development and presentation to the user.
  • Excellent written and verbal communication, facilitation, and customer facing skills
  • Must have a strong customer service orientation and excellent organizational skills.

Preferred Job Qualifications:

  • Experience: Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner).
  • Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification.
  • Microsoft SQL Server, Oracle, T-SQL; PL/SQL.
  • Familiarity with ERP information systems.
  • Familiarity with EMR information systems.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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