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Senior Shopify Data Analyst Jobs in Romeoville, IL

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding ...

SmartIPlace

Data Analyst - IT IV

Chicago, IL · On-site

$55/hr

POSITION OVERVIEW We are seeking a Senior Data Analyst to lead the development of dashboards and analytics solutions that empower business users to make data-driven decisions. Operating as a trusted ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding ...

Lucet

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103 - $115/hr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Author and provide support analysis for quarterly and annual market intelligence reports for senior management based on assessment of external and internal data. * Support realization of select data ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL

$65K - $95K/yr

Author and provide support analysis for quarterly and annual market intelligence reports for senior management based on assessment of external and internal data. * Support realization of select data ...

S4 Market Data

Market Data Analyst

Chicago, IL · On-site

The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the ... senior stakeholders. * An entrepreneurial and self-regulating mind-set. Display a high level of ...

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All JobsShopify Data Analyst JobsSenior Shopify Data Analyst JobsSenior Shopify Data Analyst Jobs in Romeoville, IL

Senior Shopify Data Analyst information

See Romeoville, IL salary details

$56.1K

$101.2K

$138.2K

How much do senior shopify data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior shopify data analyst in Romeoville, IL is $101,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $110,600.00 per year, depending on experience, location, and employer.

What does a senior Shopify data analyst do?

A Senior Shopify Data Analyst is responsible for collecting, analyzing, and interpreting data from Shopify stores to inform business decisions and optimize e-commerce performance. They use data analytics tools to track sales, customer behavior, product performance, and marketing effectiveness. Their insights help businesses improve conversion rates, increase revenue, and streamline operations. Additionally, they often create dashboards and reports for stakeholders and collaborate with marketing, sales, and product teams to develop data-driven strategies.

How does a senior Shopify data analyst typically collaborate with marketing and e-commerce teams to drive business growth?

A Senior Shopify Data Analyst regularly partners with marketing and e-commerce teams to analyze customer behavior, track campaign performance, and identify trends that can inform strategic decisions. They provide actionable insights by creating dashboards and reports, often translating complex data into clear recommendations for optimizing product listings, pricing strategies, and promotional efforts. Effective collaboration requires strong communication skills and an in-depth understanding of both Shopify analytics tools and the business's overall objectives. These analysts often attend cross-functional meetings to ensure data-driven decisions are integrated into daily operations.

What are the key skills and qualifications needed to thrive as a senior Shopify data analyst, and why are they important?

A Senior Shopify Data Analyst should possess strong analytical skills, deep knowledge of e-commerce data, and experience with data modeling, usually backed by a degree in analytics, statistics, or a related field. Expertise in using Shopify's analytics tools, SQL, BI software like Tableau or Looker, and familiarity with data integration platforms is essential. Excellent problem-solving, communication, and stakeholder management skills help translate complex data into actionable business insights. These abilities are crucial for driving data-informed decisions that optimize store performance and support business growth in a competitive e-commerce landscape.

What is the difference between Senior Shopify Data Analyst vs Shopify Data Analyst?

AspectSenior Shopify Data AnalystShopify Data Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; experience with SQL, Excel, and Shopify analytics toolsBachelor's degree or equivalent; familiarity with Shopify platform and basic data analysis skills
Work EnvironmentMid to large e-commerce companies, often in a team setting, focusing on complex data projectsStartups or small to medium-sized e-commerce businesses, handling routine data tasks
Employer & Industry UsageUsed across e-commerce, retail, and digital marketing sectorsPrimarily in e-commerce and online retail sectors using Shopify platform

The main difference between a Senior Shopify Data Analyst and a Shopify Data Analyst lies in experience and scope. Senior analysts typically handle more complex data projects, require advanced skills, and often have leadership responsibilities. Shopify Data Analysts focus on routine data analysis and reporting within Shopify stores. Both roles are essential in e-commerce, but the senior position demands greater expertise and strategic input.

What are the most commonly searched types of Shopify Data Analyst jobs in Romeoville, IL?

The most popular types of Shopify Data Analyst jobs in Romeoville, IL are:

What are popular job titles related to Senior Shopify Data Analyst jobs in Romeoville, IL?

For Senior Shopify Data Analyst jobs in Romeoville, IL, the most frequently searched job titles are:

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The top searched job categories for Senior Shopify Data Analyst jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Senior Shopify Data Analyst jobs?

Cities near Romeoville, IL with the most Senior Shopify Data Analyst job openings:

Senior Shopify Data Analyst jobs near you
Infographic showing various Senior Shopify Data Analyst job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,177 per year, or $48.6 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL • On-site

Full-time

Re-posted 25 days ago

Key responsibilities

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs

  • Design, develop, and maintain data, reporting, and workflow automation solutions

  • Execute cross-functional data initiatives from requirements through delivery

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

Responsibilities:

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs 
  • Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
  • Execute high-impact, cross-functional data initiatives from requirements through delivery
  • Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
  • Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented data
  • Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
  • Ensure data processes align with operational risk, audit, and regulatory expectations
  • Participate in firm-wide initiatives such as system implementations and data integrations
  • Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
  • Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement 

Qualifications:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ years of experience in investment management, financial services, or a data-intensive operations environment
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
  • Advanced proficiency with SQL and Python
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
  • Demonstrated ability to analyze data issues, identify root causes, and drive crossfunctional resolution
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
  • Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
  • Demonstrated proficiency with Agile methodology and project management practices
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

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