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Temporary Adobe Data Analyst Jobs (NOW HIRING)

INSPYR Solutions

Data Analyst

Almont, CO · On-site

$70 - $73/hr

  • Medical

  • Retirement

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Desired Qualifications * Experience with experimentation platforms (e.g., Adobe [preferred ...

PSECU

Digital Tagging Analyst

Harrisburg, PA · Hybrid

$97K - $115K/yr

By managing tags through Adobe Data Collection and supporting legacy Google Tag Manager ... The role involves close collaboration with marketing, analytics, and development teams to define ...

PSECU

Digital Tagging Analyst

Harrisburg, PA · On-site

$97K - $115K/yr

By managing tags through Adobe Data Collection and supporting legacy Google Tag Manager ... The role involves close collaboration with marketing, analytics, and development teams to define ...

HAYS

Sr. Business Data Analyst

Richmond, VA · On-site

$54 - $58/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Excel, Power Point, Adobe Acrobat, Visio, Jira and others. Highly skilled in curating and applying ... Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the ...

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Temporary Adobe Data Analyst information

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How much do temporary adobe data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for temporary adobe 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.

What is the difference between Temporary Adobe Data Analyst vs Temporary Tableau Data Analyst?

AspectTemporary Adobe Data AnalystTemporary Tableau Data Analyst
Required CredentialsProficiency in Adobe Analytics, data analysis skills, possibly certifications in Adobe toolsProficiency in Tableau, data visualization skills, possibly Tableau certifications
Work EnvironmentDigital marketing, analytics teams, advertising agenciesBusiness intelligence, data visualization teams, consulting firms
Employer & Industry UsageMarketing, advertising, e-commerceBusiness intelligence, data consulting, corporate analytics
Search & Comparison IntentComparing roles involving Adobe analytics toolsRoles focusing on Tableau data visualization

The main difference between a Temporary Adobe Data Analyst and a Temporary Tableau Data Analyst lies in the tools and focus areas. Adobe Data Analysts specialize in Adobe Analytics for marketing insights, while Tableau Data Analysts focus on creating visualizations with Tableau. Both roles require data analysis skills but cater to different industry needs and tool expertise.

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Temporary Adobe Data Analyst jobs near you
Infographic showing various Temporary Adobe Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

INSPYR Solutions

Almont, CO • On-site

$70 - $73/hr

Other

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title: Data Analyst
Location: Orlando, FL (Hybrid 4/1)
Duration: 12+ month contract
Compensation: $70.00 - $73.00/hr
Work Requirements: , Holders or Authorized to Work in the U.S.
Data Analyst
The ideal candidate combines strong statistical fundamentals with hands-on experience with statistics, machine learning and AI; and is comfortable owning experiments end-to-end (design, instrumentation review, analysis, readout), and can clearly communicate methodology and results to both technical and non-technical audiences.
Responsibilities
  • Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives.
  • Apply causal inference techniques — including difference-in-differences, propensity score matching, synthetic control, regression discontinuity, and instrumental variables — for scenarios where randomized experiments aren''t feasible.
  • Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context.
  • Calculate sample size and power requirements, and advise stakeholders on minimum detectable effect, test duration, and experiment feasibility before launch.
  • Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy, statsmodels) to standardize experiment analysis and reduce time-to-insight.
  • Write and optimize SQL to extract, transform, and validate experiment and behavioral data from large, complex datasets.
  • Partner with Product Managers, Engineers, and Marketers to scope experiments, define success metrics and guardrail metrics, and ensure proper randomization and instrumentation.
  • Proactively identify data quality issues, sample ratio mismatches, novelty effects, and other threats to experiment validity, and flag them before they affect decisions.
  • Communicate experiment design, methodology, and results clearly to stakeholders with varying levels of technical expertise, through written reports and presentations.
  • Build dashboards and visualizations (e.g., in Tableau, Looker, or Python plotting libraries) to track experiment health and results in near real time.
  • Contribute to the evolution of the company''s experimentation platform, standards, and playbooks.
Required Qualifications
  • Bachelor''s or Master''s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of hands-on experience in data analysis, with 3+ years specifically designing and analyzing A/B tests or experiments in an industry setting.
  • Strong proficiency in Python for statistical analysis and data manipulation (pandas, numpy, scipy, statsmodels, or similar).
  • Demonstrated expertise in statistical hypothesis testing (t-tests, chi-square, ANOVA) and in causal inference methods beyond simple A/B testing (e.g., diff-in-diff, matching methods, regression discontinuity, uplift modeling)
  • Practical understanding of experimental design concepts: randomization, power analysis, minimum detectable effect, novelty/primacy effects, network effects, and common pitfalls (e.g., peeking, multiple comparisons, Simpson''s paradox).
  • Ability to translate ambiguous business questions into rigorous, testable analyses and communicate the resulting trade-offs clearly.
  • Experience presenting technical findings to non-technical stakeholders, including executives, in a clear and compelling way.
  • Comfort working with large, sometimes messy, real-world data and identifying/troubleshooting data integrity issues.
Desired Qualifications
  • Experience with experimentation platforms (e.g., Adobe [preferred], Optimizely, Statsig, GrowthBook, or in-house tooling) and/or building internal experimentation frameworks.
  • Familiarity with Bayesian statistics and sequential/always-valid testing methods.
  • Experience with version control (Git) and writing production-quality, reusable analysis code.
  • Background in a consumer product, subscription, streaming, or e-commerce environment.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Exposure to experimental design in marketing (e.g., geo-testing, media mix modeling) in addition to product experimentation.
 
Our benefits package includes: 
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • …and much more!
 
About INSPYR Solutions
 
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 
 
 

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