> Markdown version of [/jobs/ext/1731366-data-analyst](https://www.wearedevelopers.com/jobs/ext/1731366-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Inspyr Solutions - **Location:** Orlando, FL, United States - **Experience:** Experienced - **Salary:** $145,600.0 - $151,840.0 - **Contract:** Temporary contract - **Skills:** A/B Testing, Data Analysis, Analysis of Variance (ANOVA), Big Data, Data Integrity, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, SciPy, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Git, Pandas, Adobe, Information Technology, Statistics Packages, Power Analysis (Cryptography), Optimizely, Looker Analytics, Software Version Control - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/22525b5f-b969-4ffa-a833-9d8871ad558b ## About the Role 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., * 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., * 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. ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)