> Markdown version of [/jobs/ext/4583908-data-analyst](https://www.wearedevelopers.com/jobs/ext/4583908-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:** K-Tek Resourcing LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** A/B Testing, Business Analytics Applications, Data Analysis, Google Analytics, Python (Programming Language), SQL Databases, Tableau (Software), Web Analytics, Data Analytics, Looker Analytics
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/aab03eec-9462-47ef-bbdb-d869d12c57f3

## About the Role

* Experience with analyzing A/B tests, with expertise in statistical significance, sample sizing,
and experiment design best practices

 * Proficiency with analytics platforms (Amplitude, Google Analytics, or similar); ability to
create custom segments, funnels, and cohort analyses

 * Strong understanding of web tracking, event-based analytics, attribution models, and user
journey mapping

 * Experience with SQL, Python/R, or similar tools for data analysis; experience with BI tools
(Tableau, Looker, etc.) is a plus

 * Ability to translate complex analyses into clear, business-focused narratives for non-technical
stakeholders
Nice to Have

 * Experience with lifecycle marketing, retention strategies, or customer engagement
optimization

## Description

We are seeking an experienced (6+ years) Analyst/Consultant with a strong background in
experimentation, web and product analytics to join the Lifecycle Management team. You will drive
data-informed decision-making through A/B testing, experimentation frameworks, and product
analytics to optimize customer engagement and lifecycle outcomes.
Key Responsibilities

 * Design and execute A/B tests and multivariate experiments to validate hypotheses and
optimize product features

 * Develop and maintain web analytics dashboards and reporting to track KPIs, user behavior,
and lifecycle metrics

 * Analyze experimental results, generate insights, and present actionable recommendations to
product and marketing teams

 * Partner with product, engineering, and marketing to identify optimization opportunities and
prioritize experiments