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Data Analyst II

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Appcast
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 57500 - 114000 USD Yearly USD 57500.00 114000.00 YEAR
Job Description & How to Apply Below

Company Description

Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers, Appcast’s technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job.

  • Compensation: USD 57,500 - USD 114,000 - yearly
Job Description

The Data Analyst II on the Appcast Data & Insights Team works at the convergence of data, recruiting strategy, and product insights. This role focuses on turning complex recruitment marketing data into clear, actionable recommendations and compelling narratives. Data Analyst II operates with a high degree of independence and is responsible for delivering analyses, dashboards, and client-facing insights end-to-end.

Data Analyst I supports Account Managers, Product teams, and internal stakeholders to understand performance trends, identify key drivers, and communicate data into meaningful customer context that supports client strategy. This includes not only reporting on what is happening but also helping explain why it matters and how it informs strategic decisions. They also lead or own components of client business reviews, build dashboards and reporting tools, and translate labor market and performance data into clear narrative-driven insights.

This role requires strong analytical skills, comfort working with large datasets, and the ability to communicate complex findings clearly to both technical and non-technical audiences.

Job Responsibilities
  • Analyze Performance Data and Identify Insights: Work with large and complex datasets to identify trends, performance gaps, and opportunities for optimization. Apply independent judgement to interpret findings and deliver actionable insights that support client strategies and internal decision-making.
  • Create Client-Facing Insights and Business Reviews: Lead the development of analyses and visualizations for client presentations (e.g., QBRs, custom reports). Craft clear, compelling narratives that connect data to business outcomes, helping clients understand performance trends, labor market dynamics, and strategic opportunities.
  • Build and Maintain Dashboards and Reporting: Design, build, and own dashboards and automated reporting tools using platforms such as Tableau or Streamlit. Ensure reporting is accurate, scalable, and aligned to support decision-making.
  • Collaborate Across Teams: Partner closely with Account Management and Product teams to translate data into clear, actionable insights. Provide analytical direction and input into product initiatives, internal tools, and cross-team projects.
  • Improve Analytics and Reporting Processes: Proactively identify and implement improvements to enhanced data workflows, reporting efficiency, and automation. Contribute to advancing the team’s analytical capabilities using tools such as SQL, Python, or R.
  • Manage Analytical Projects and Documentation: Track projects and maintain documentation using systems such as Salesforce, JIRA, Git Hub, and Confluence to ensure transparency and reproducibility. Independently manage moderately ambiguous analytical requests from intake through delivery, applying structured problem-solving and sound judgment to deliver clear, reliable outputs.
Qualifications
  • Strong analytical foundation in statistics, economics, data science, or a related quantitative field
  • Proficiency in SQL and experience working with relational databases
  • Experience with Python (preferred) or R for data analysis (e.g., pandas, numpy)
  • Experience with data visualization tools such as Tableau or Streamlit
  • Advanced Excel and spreadsheet analysis skills
  • Demonstrated ability to exercise independent judgment in analyzing data and making recommendations
  • Ability to manage multiple projects, prioritize effectively, and work independently in a fast-paced environment
  • Ability to independently scope, execute, and…
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