Data Analyst Jobs in Chicago, IL

About The Position

Requirements

• 5+ years of top-tier experience in data analytics, business analytics, product analytics, business operations, strategy & operations, support operations or other highly analytical roles at a fast-growing company.
• Exceptional data analysis skills. Expert in SQL, Tableau, and Excel.
• Entrepreneurial self-starter. Thrives in a fast-moving, ambiguous environment, and is independently capable of seeking information, corralling resources, and delivering results without waiting for direction.
• Influential communicator. Moves seamlessly from deep-dive analytics to succinct, stakeholder-ready storytelling; tailors communication to technical and non-technical audiences and builds alignment across teams.
• High bar for quality and clarity. Cares about trusted metrics, clear definitions, effective data visualization and scalable self-serve insights—building confidence in data products and the decisions they enable.
• High-energy, positive team player. Proven ability to build strong working relationships with business partners; this is a highly cross-functional role, so a low ego and a high instinct for collaboration are musts.
• Bachelor’s degree in a relevant field such as Data Science, Economics, Statistics, Math, Finance or equivalent experience.

Nice To Haves

• Familiarity with consumer internet, media ecosystem, and/or support operations is a plus.
• Knowledge of Python, R and AI tools is a plus.

Responsibilities

• Own the analytics roadmap for self-serve support, automation and tooling. Anticipate what we need to measure next, “look around the corner” for emerging priorities, and ensure we’re answering the most important questions with the right data and insights.
• Design, build and maintain Tableau dashboards, recurring analyses, and/or AI solutions that provide a clear, trusted view of self-serve support, automation and tooling performance. Define and socialize metric definitions and KPIs (e.g., self-serve CSAT, automated resolution rate, cost deflection, self-serve adoption), and translate trends into actions in partnership with key stakeholders.
• Tackle ambiguous, high-impact problems—from measuring the impact of automation initiatives to evaluating new self-serve experiences. Frame the problem, establish success metrics, run deep-dive analyses, and craft clear recommendations for stakeholders and leadership.
• Partner with cross-functional teams to design and evaluate pilots and experiments (e.g., self-serve journey changes, tooling/automation interventions). Ensure measurement plans are sound, results are interpretable, and learnings are captured and reused.
• Build models and decision frameworks to support prioritization and planning (e.g., estimating self-serve CSAT, projecting adoption, explaining gaps between expected vs. observed performance).
• Act as a trusted analytics partner to our Systems, Automation & Tooling, Help & Community, and Journey Design teams through clear scoping, strong analytical rigor, and high-quality storytelling.
• Help build out processes for a small (but mighty) team.
• Help build our influence across the organization to tackle each of the above for your coverage area.

Benefits

• Flexibility to do your best work
• Career opportunities