Responsibilities Web Analytics & Tagging Implement Tracking :

Design and deploy robust data layer specifications across digital properties.

Tag Management :

Manage container setups, triggers, and variables using tag management systems.

Organize and manage analytics tagging:

Address known gaps in our current tagging process Improve our overall tagging process by implementing custom tags as needed

Adobe Analytics :

Build custom eVars (Custom Insight Conversion Variables), props, events, and complex segmentation models.

Data Quality :

Conduct regular audits to detect and fix broken tags or data leakage.

User Feedback & Experience Analytics Qualtrics VoC :

Design, deploy, and maintain Voice of Customer (VoC) feedback intercepts.

Survey Integration :

Connect survey response data with behavioral analytics behavioral datasets.

Insight Generation :

Analyze open-text feedback using text analytics to uncover user pain points.

Service Design Support:

Provide research and analytics insights that help QPP HCD team identify user needs, pain points, and improvement opportunities.

System Performance Monitoring Datadog Observability :

Configure dashboards to monitor application performance metrics and error rates.

Correlate Data :

Link technical performance drops (e.g., slow load times) to user conversion impacts.

Alerting :

Set up real-time anomaly detection alerts to proactively identify tracking failures. Perform regular site analysis, including data analysis on page views or data downloads.

LLM-based Product Performance Monitoring User Data Analysis :

Perform continuous tagging and analysis of user data to determine product performance against key established metrics and trends in user behavior.

Process Automation :

Develop scripts and test other automation approaches to make the performance data analysis process more efficient and scalable.

Trend and Insight Reporting :

Synthesize and communicate user behavioral trends and metric performance to the product team and stakeholders to inform product direction and decision-making. Reporting Create complex dashboards and analysis from scratch based on ad hoc user requests and needs This responsibility includes integrating multiple qualitative data sources such as: ServiceNow helpdesk tickets, survey results from Qualtrics, Datadog heatmaps, and email distribution sign ups. Extract, transform, and load data from various sources for reporting and/or dashboarding purposes. Identify opportunities to leverage data to solve programmatic needs and problems for the team.

KPI Development:

Help team define meaningful KPIs and indicators to measure product and service performance.

Mixed-Methods Analysis:

Combine surveys, interviews, help desk tickets, and web analytics to answer questions and identify actionable insights.

Technical Skills Adobe Analytics :

Advanced workspace creation, report suite configuration, and tool administration.

Tagging :

Deep expertise in Tag Management Systems (e.g., Adobe Launch/Tags, Google Tag Manager).

Qualtrics :

Experience with Site Intercepts, target logic, and reporting dashboards.

Datadog :

Proficient in building APM dashboards, log management, and synthetics.

Languages :

Solid understanding of JavaScript, HTML, and CSS selectors for tagging validation and JavaScript and SQL for data analysis and automation.

Data Science :

Strong understanding of statistical methods and approaches to sample, analyze, and interpret large datasets with a mixture of structured and unstructured data. We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the teams needs and strengths, the unique strengths and interests of the selected candidate, and an evolving understanding of the delivery environment. Basic qualifications A Masters Degree is required for this position A minimum of 5 years of relevant analytics experience (dashboarding, reporting, and data analysis) is required for this position; an advanced degree is equivalent to 3 years of experience Ability to weigh the pros and cons of a particular set of analytics tools and confidently select the best solution for the problem Solution-oriented mindset and proactive approach to solving complex problems Experience working with large quantities of data and answering complex analytics questions using at least one of the following tools: R, Python, SQL, and/or Excel Demonstrated extract, transform, load (ETL) experience Experience working with both semi-structured and unstructured data and with data manipulation and cleaning Hands-on experience with analytics tagging and website analysis Hands-on experience with Adobe Analytics or a similar web analytics/business intelligence analytics platform Ability to apply strong analysis practices across a wide variety of reporting, dashboarding, and analytics platforms Ability to work independently on high complexity tasks Experience working on an Agile team and demonstrating an Agile mindset Have lived and worked in the United States for 3 out of the last 5 years Additional desired qualifications Experience with statistical analysis and R, Python, SAS, or a similar language Additional holistic experience with data, including data architecture, data modeling, and standardization Experience with SQL (complex joins, window functions, common table expressions) Experience with Excel (especially with pivot tables and vlookups) Familiarity with the

US Web Design System Agile Mindset:

Experience working in Scrum or Kanban frameworks (Jira/Confluence).

Data Storytelling:

Ability to translate complex data into simple, actionable business recommendations.

Detail-Oriented:

Strong focus on QA testing and data governance Experience working with government agencies At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. Were eager to meet people who believe in our mission and who can contribute to our team in a variety of ways. Salary and Sixer Benefits As a small and growing government contractor, our open roles are tied to the contracts we support and the funding available. We aim to offer compensation thats competitive and fair, reflecting the scope of the role, your experience, and the market. The salary for this position is $132,464. Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say We build better by putting people first.

All Sixers Enjoy:

Self-managed work/life balance and flexibility Competitive salary Employee Stock Ownership (ESOP) for all employees! 401K matching Medical, dental, and vision insurance Employer paid short and long term disability insurance Employer paid life insurance Self-managed and generous paid time off Paid federal holidays and two floating holidays Paid parental leave Self-managed professional development spending Self-managed wellness days Hiring practices Agile Six is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor protected by applicable federal, state or local laws.

Note:

We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time. If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com . We want to ensure you have the ability to apply for any position at Agile Six. Please read and respond to the application questions carefully. 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