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Essential Shopify Data Analyst Jobs Near Me

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

ESSENTIAL DUTIES Reporting & Dashboard Development * Design, build, and maintain Power BI ... Recommend and implement process improvements within the analytics function. * Uphold data ...

America's Floor Source

Ecommerce Sales

Columbus, OH · On-site

$50K - $55K/yr

Experience with Shopify * Familiarity with data analysis tools and techniques. * Previous ... essential for building relationships with customers and understanding their needs. Analytical ...

BakerHostetler

Data Solutions Engineer

Columbus, OH · On-site

$110K - $132K/yr

This role works across the data lifecycle, including data analysis, data modeling, data ... essential duties of the position with time constraints, interruptions, and under stress. OTHER ...

React Health

Business Intelligence Analyst

Dublin, OH · On-site

$75K - $95K/yr

DUTIES AND ESSENTIAL FUNCTIONS Each Employee consistently demonstrates the following essential functions: * Perform data analysis to gain insights into various aspects of business performance ...

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

As of Aug 8, 2026, the average yearly pay for essential shopify data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
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Essential Shopify Data Analyst jobs near you
A map of the United States highlighting the number of Essential Shopify Data Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Essential Shopify Data Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Senior Data Analyst

EASE Logistics

Dublin, OH • On-site

$81K - $102K/yr

Full-time

Re-posted 22 hours ago

Job description

ESSENTIAL DUTIES
Reporting & Dashboard Development
  • Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders.
  • Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS).
  • Analyze and tune underperforming reports and queries to improve load times and reliability.
  • Establish and document self-service BI standards and a shared metrics catalog.

Data & SQL
  • Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric.
  • Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting.
  • Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports.

Stakeholder Collaboration
  • Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products.
  • Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines.
  • Communicate findings clearly to non-technical audiences - written, visual, and verbal.
  • Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts.

Team & Process
  • Recommend and implement process improvements within the analytics function.
  • Uphold data governance, security, and confidentiality standards across all reporting environments.
  • Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling.

Qualifications
Education
  • Bachelor's degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems).
  • Equivalent professional experience (4+ years) accepted in lieu of degree.
  • Transportation or logistics industry background is a strong plus.

Experience
  • Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.
  • Required- Expert-level Power BI - semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines.
  • Required- Strong T-SQL - complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database.
  • Required - Proven ability to work with messy, multi-source operational data - not just clean, pre-modeled datasets.
  • Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform.
  • Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing).
  • Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry.

Knowledge, Skills, & Abilities
  • Ability to communicate complex data findings to non-technical stakeholders clearly and confidently.
  • Ability to adapt and work in a fast-paced, operations-heavy environment.
  • Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements.
  • Experience with ADF or analytics engineering practices for building and testing data models preferred.
  • Python or R for exploratory analysis and data prep preferred.
  • Azure DevOps or Git-based version control for BI asset deployment preferred.
  • Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.

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