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Essential Shopify Data Analyst Jobs in Baltimore, MD

Essential duties and responsibilities : * Develop visualizations using tools such as Tableau, PowerBI and/or Sisense * Use sophisticated data analysis methods to support project team in creating ...

Essential Job Functions * Analyze and define data requirements and specifications. * Collection of metrics and data trends. * Ability to read, interpret, write and modify scripts on Windows and UNIX ...

This is a Mission Essential contract that must be performed under all circumstances to achieve its DoD component missions and responsibilities. As a Data Analyst on the contract's Enterprise ...

This is a Mission Essential contract that must be performed under all circumstances to achieve its DoD component missions and responsibilities. As a Data Analyst on the contract's Enterprise ...

Splunk Data Analyst

Laurel, MD · On-site

$103K - $218K/yr

Splunk Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance ... You'll work in a collaborative environment, providing essential support and creating high ...

Sr Data Analyst

Baltimore, MD · Hybrid

$85K - $107K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Essential Job Expectations All DLA Piper employees are expected to demonstrate excellence in how we ...

Data Analyst, Segment Marketing

Owings Mills, MD · Hybrid

$82K - $102K/yr

This end-to-end view is essential in building evidence and intuition on the overall effectiveness of our marketing efforts. Role Summary Data analysts play a key role in the overall growth value ...

Usalco is the essential catalyst for clean water -- and our commercial team is on the front lines of that mission every day. As our Commercial Data Analyst, you will serve as the connective tissue ...

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Showing results 1-20

Essential Shopify Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Aug 12, 2026, the average yearly pay for essential shopify data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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.

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.

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 Baltimore, MD look for? The top searched job categories for Essential Shopify Data Analyst jobs in Baltimore, MD are:
Infographic showing various Essential Shopify Data Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Data Analyst

ASHLIN Management Group, Inc.

Bowie, MD • On-site

Full-time

Re-posted 25 days ago


Job description

ASHLIN is an Equal Opportunity Employer. ASHLIN is also an Equal Opportunity of Protected Veterans and Individuals with Disabilities.

ASHLIN Management is a VEVRAA Federal Contractor and desires for Priority Referrals of Protected Veterans

DATA ANALYST

JOB DESCRIPTION

ASHLIN Management Group is seeking a Data Analyst to join our team working with our data analytics team. This professional will start off working with ASHLIN’s cloud-based visualization platform, CompassBI, powered by Sisense, on visualizing descriptive statistics and other key performance indicators and building ASHLIN’s library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports and PowerPoint decks to present the information to senior management and clients.

Essential duties and responsibilities:


  • Develop visualizations using tools such as Tableau, PowerBI and/or Sisense
  • Use sophisticated data analysis methods to support project team in creating deliverable for client
  • Work with clients to devise methods to optimize data capturing schemes and overall program evaluation plan Perform statistical modeling (e.g. ANOVA) using statistical software applications such as R and SPSS
  • Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data
  • Perform ongoing data quality assessments, identify discrepancies/inconsistencies, and resolve them
  • Continually improve the end-to-end process of data collection, transformation, analysis, and reporting
  • Develop data management programs and forms for data entry and maintenance by end-users
  • Document data analysis and reporting architecture, designs, and write user guides
  • Other duties as defined by senior research team

Qualifications

To be successful in this position, the Data Analyst must have a minimum of 3 years’ experience in:

  • Data analysis, involved in both primary and secondary research using data to arrive at decision pertaining to marketing strategies
    • Ability to interpret complex data sets (quantitative and qualitative) into insights that lead to effective marketing strategies and frameworks
  • Strong data analysis modelling, specifically the successful candidate must be able to:
    • Conduct cross-tabular and ANOVA and other statistical analysis using R and/or SPSS
    • Interpret results of statistical analysis output and draw insights in order to make recommendations to senior management what steps to take
    • Present data, interpretation and resulting strategy in language that indicates a command of the material while at the same time making sense to lay persons who may not have a marketing and/or data analysis background
  • Develop data reports using the following tools and technologies:

  • MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)
  • Online Dashboards (e.g. Tableau, PowerBI, Sisense)
  • Expert level skills in the development of highly impactful PowerPoint slide decks
  • Development of scheduled and ad-hoc reports and analysis.
  • Working in a team environment with responsibility for delivery of timely and accurate business-critical reports and analysis:
    • Self-motivated and proactive, willing to drive a program of work to successful completion,
    • Strong oral/written communication, and presentation skills,
    • Ability to work with highly sensitive information and preserve the confidentiality of the information,
    • Detail oriented and capable of identifying and resolving data quality issues.

In addition, the following are highly desirable:

  • A minimum of 3 years’ experience with statistical analysis tools (e.g. R, SPSS)
  • A background in market research, or related disciplines
  • Working knowledge of relational databases (e.g. SQL)

Position requirements include:

  • At least a Bachelor’s Degree in Math, Probability & Statistics, or related data science field
  • Master’s degree in any of the above disciplines is highly desirable, or MBA
  • High proficiency with statistical analysis tools
  • Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US