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Product Analytics Specialist

2 weeks ago

Atlanta, Georgia, United States Inclusively Full time

Inclusively is partnering with a major airline to hire a Product Analytics Specialist. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and vete
rans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Job Overview

As a Product Ops Reporting Analyst within the company's Reservations Customer Experience Design and Technology team, you'll play a critical role in shaping how the company designs, implements, and evaluates technologies that impact both customers and frontline specialists. This role sits at the intersection of analytics and product operations, with a focus on surfacing meaningful insights from across the product lifecycle—how a product is conceived, built, deployed, adopted, and ultimately, how much measurable value it creates.

You'll actively participate in efforts to connect the dots across design intent, real-world usage, operational feedback, and business impact. From evaluating the effectiveness of virtual assistants to understanding how UI changes influence agent handle time or customer satisfaction, your work will help ensure that enterprise tools are not only functional—but exceptional. You'll build bridges between data and action by delivering reporting and insight that influence prioritization, performance standards, and continuous improvement.

This is a hands-on, high-impact role ideal for someone who thrives on data manipulation, statistical modeling, and data storytelling. You'll develop intuitive dashboards and performance frameworks, dig into metrics that matter, and present results in a way that guides decision-making at every level of the organization. Your ability to organize complex ideas, communicate clearly, and operate in a fast-paced, collaborative environment will be essential to success.

Summary of responsibilities (not comprehensive of all tasks):

  • Analyze and Model: Leverage structured and unstructured data to model customer and agent interactions, identify friction points, and optimize service workflows.
  • Build KPIs and Dashboards: Define success metrics in collaboration with business stakeholders; build automated dashboards that reflect product usage, customer satisfaction, and employee experience outcomes.
  • Evaluate Product Impact: Establish closed-loop feedback mechanisms to measure the effectiveness of new features and system changes, including adoption, usability, and downstream service impacts.
  • Communicate Findings: Translate complex analytical insights into compelling visual and written narratives for business audiences; recommend interventions or opportunities for enhancement.
  • Collaborate Cross-Functionally: Act as a connective tissue between data engineering, product, and operational teams to ensure the accuracy, timeliness, and relevance of insights.
  • Continuously Improve: Stay current with evolving tools in data science, cloud infrastructure, and AI/ML; proactively apply new methods to improve efficiency, prediction accuracy, or business alignment.

What you need to succeed (minimum qualifications)

  • 2+ years of experience in analysis, business intelligence, data visualization, or other relevant quantitative fields
  • Proficiency in working with relational databases (SQL)
  • Proficiency in Analytics and Machine Learning techniques (Python, SAS)
  • Must be performing satisfactorily in present position
  • Consistently prioritizes safety and security of self, others, and personal data
  • Embraces diverse people, thinking, and styles
  • Possesses a high school diploma, GED, or high school equivalency
  • Is at least 18 years of age and has authorization to work in the United States

What will give you a competitive edge (preferred qualifications)

  • Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience
  • Experience with AI enabled products and automation
  • Experience with AWS and cloud infrastructure