Data Analyst II

Job Overview 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 enhance 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, GitHub, and Confluence to ensure transparency and reproducibility. Independently manage moderately ambiguous analytical requests from intake through delivery, applying structured problem‑solving and sound judgement 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 deliver analytical work with minimal guidance Strong written and verbal communication skills, including the ability to translate data into clear narratives for non‑technical audiences Experience presenting data insights to stakeholders or clients Education and Experience Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field 3-5 years of experience in data analysis, reporting, research, or analytics roles Familiarity with recruiting analytics, labor market data, or digital marketing performance data Travel Requirements This role requires periodic travel to attend internal meetings, client engagements, and company events. Travel frequency may vary based on business needs and opportunities. Fair Labor Standards Act Status Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a workweek. Supervisory Responsibilities This position has no supervisory responsibilities. Expected Salary Range: $57,500 - $114,000 USD All your information will be kept confidential according to EEO guidelines. Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. E-Verify® is a registered trademark of the U.S. Department of Homeland Security. This employer does not use E-Verify to pre‑screen job applicants and will not discriminate based on national origin, citizenship, or immigration status. #J-18808-Ljbffr