1

Essential Shopify Data Analyst Jobs in Portland, OR

Associate Resource Operations Analyst

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze operational data and prepare reports, metrics, and summaries to support operational ... essential functions of the position with or without accommodation. PacifiCorp is proud to be an ...

Director, Provider Data Management

Portland, OR · On-site

$155.43 - $189.97/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Essential Responsibilities**## Technical/Operational Leadership* Provide strategic leadership for ... Effectively use business intelligence and data analytics to monitor network data accuracy, forecast ...

Director, Provider Data Management

Portland, OR · On-site

$155.43 - $189.97/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Please use the internal Workday site to submit an application for this job.-Essential ... Effectively use business intelligence and data analytics to monitor network data accuracy, forecast ...

Director, Provider Data Management

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Essential Responsibilities Technical/Operational Leadership * Provide strategic leadership for ... Effectively use business intelligence and data analytics to monitor network data accuracy, forecast ...

Director, Provider Data Management

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Please use the internal Workday site to submit an application for this job. ----- Essential ... Effectively use business intelligence and data analytics to monitor network data accuracy, forecast ...

Financial Analyst

Portland, OR · On-site

$94K - $100K/yr

Essential Functions Description * Works with department leadership to plan, execute, and analyze ... Maintain the Adaptive Planning system, ensuring data accuracy, supporting reporting needs, and ...

Showing results 41-60

Essential Shopify Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

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

As of Aug 17, 2026, the average yearly pay for essential shopify data analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What does an Essential Shopify Data Analyst do?

An Essential Shopify Data Analyst specializes in collecting, analyzing, and interpreting data from Shopify stores to help businesses make data-driven decisions. They track key performance indicators such as sales, conversion rates, customer behavior, and marketing effectiveness. Their insights help optimize product listings, improve marketing strategies, and increase overall store performance. They often use Shopify’s built-in analytics tools as well as external data platforms to provide actionable recommendations for growth.

What are the key skills and qualifications needed to thrive as an Essential Shopify Data Analyst?

To thrive as an Essential Shopify Data Analyst, you need strong analytical skills, experience with e-commerce data, and proficiency in data interpretation, typically supported by a degree in statistics, business, or a related field. Familiarity with Shopify analytics tools, SQL, Excel, and data visualization platforms like Tableau or Power BI is important, and certification in data analysis or e-commerce analytics can be beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable business strategies. These skills ensure that data-driven decisions optimize store performance, enhance customer experiences, and drive business growth.

How does an Essential Shopify Data Analyst typically collaborate with marketing and sales teams to drive business growth?

As an Essential Shopify Data Analyst, you will regularly work with marketing and sales teams to interpret and share actionable insights from store data. This often involves analyzing customer behavior, sales trends, and the effectiveness of marketing campaigns to recommend data-driven strategies for customer acquisition and retention. Collaboration usually includes cross-functional meetings, sharing dashboards or reports, and providing recommendations to optimize campaigns and improve sales performance. Effective communication and the ability to translate complex data into actionable steps are crucial skills in this collaborative environment.

What is the difference between Essential Shopify Data Analyst vs Shopify Data Specialist?

AspectEssential Shopify Data AnalystShopify Data Specialist
Required CredentialsProficiency in data analysis, Shopify platform knowledge, basic SQL, Excel skillsSimilar skills, often with additional focus on data visualization tools
Work EnvironmentRetail e-commerce teams, digital marketing agencies, online storesData-driven e-commerce companies, Shopify app developers, analytics firms
Employer & Industry UsagePrimarily in e-commerce, retail, and digital marketing sectors using ShopifyIn e-commerce, Shopify app development, and analytics consulting

The Essential Shopify Data Analyst and Shopify Data Specialist roles share many skills, including data analysis and Shopify platform familiarity. However, the Data Specialist may have a broader focus on data visualization and advanced analytics. Both roles are common in e-commerce environments, with the Analyst often working directly within retail teams and the Specialist supporting more technical or consulting functions.

What job categories do people searching Essential Shopify Data Analyst jobs in Portland, OR look for?

The top searched job categories for Essential Shopify Data Analyst jobs in Portland, OR are:

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Portland, OR • On-site

$121K - $145K/yr

Full-time

Re-posted 18 days ago


Job description

Job Title: Senior Software Engineer- Big Data & MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing - optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.

Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search & Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend & Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.

Education: Bachelor's Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.