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Essential Shopify Data Analyst Jobs Near Me

EASE Logistics

Senior Data Analyst

Dublin, OH

$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 ...

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 ...

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

As of Aug 29, 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

$81K - $102K/yr

Full-time

Re-posted 21 days 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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