Senior Data Analyst
HR Tech Job
- Denver, Colorado, United States
- Denver, Colorado, United States
About
Job Description The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decisionmaking acrossAppcast. This roleis responsible forthe full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive strategic decisions. The ideal candidate brings strong technical and analyticalexpertise, critical thinking skills, and the ability to communicate complex findings clearly to both technical and non-technical audiences.
Please note that candidates for this role must be located in either CO, AZ or MA.
Job Responsibilities Stakeholder Analytics
Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions
Present findings, recommendations, and performance insights clearly to both technical and non-technical audiences
Act as a trusted advisor on analytics, measurement strategy, KPI development, performance optimization, and decision science methodologies
Support strategic decision-making through reporting, forecasting, experimentation, and ongoing business and product performance analysis
Data Exploration & Querying
Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena)
Explore,validate, and reconcile data across multiple sources to ensure accuracy, consistency, and usability
Perform deep-dive analyses toidentifytrends, anomalies, and business opportunities
Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows
Data Transformation & Analysis
Clean, manipulate, and transform complex datasets using Python (e.g., pandas,numpy)
Build analytical frameworksand scalable reporting solutions for recurring business needs
Perform advanced analyses(ie.cohort analysis, funnel analysis, attribution modeling,etc)
Advocate for data quality, governance, and scalable analytical best practices
Advanced Analytics & Modeling
Develop forecasting models forvolume, application trends, and business performance outcomes
Apply statistical methodologies to evaluate product effectiveness and support strategic initiatives
Design and support experimentation and measurement frameworks, including A/B testing and incrementality analysis
Data Product Development
Design and deliver custom data products (reports, dashboards, datasets, analytical tools)
Collaborate with stakeholders to define requirements and ensure deliverables align with business and product objectives
Own projects end-to-endfromintake and scoping to final presentation
Qualifications Analytical Thinking
Strong problem-solving skills with the ability to work through ambiguous requests
Ability to connect data insights into business outcomes
Experience with forecasting, modeling, or statistical analysisis aplus
Technical Skills
Strong SQL skills and experience querying large datasets (Athena, Snowflake,BigQuery, etc.)
Proficiencyin Python for data analysis (pandas,numpy; scikit-learn is a plus)
Experience with data visualization tools (Tableau, Looker, Power BI, or similar)
Experience with Master Data Management (MDM) concepts and data governance practices to support consistent,accurate, and scalable analytics across multiple data sources and systems
Communication & Ownership
Excellent verbal and written communication skills
Ability to present complex analyses to non-technical stakeholders
Proven ability to manage projects independently from start to finish
Education andExperience
Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field
Advanced degree (Master’s/MBA) is a plus, notrequired
4-6+ years in data analytics, data science, consulting analytics, or related field
Experience working in a client-facing or consulting environment strongly preferred
Experience in recruitment marketing, HR tech, or performance marketing
Familiarity with attribution modeling or multi-touch measurement
Experience working with large-scale event or clickstream data
AWS ecosystem experience
Travel Requirements
Travel for this position may include quarterly travel to attend internal and external meetings, however, this 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 over40 hoursin a workweek.
Supervisory Responsibilities
This position has no supervisory responsibilities
Additional Information Appcast recognized as one of Inc Magazine's "Best Workplaces" for 2024!
We’re the best at what we do. We’re the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers.
We have an amazing culture driven by great people. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, read Our Story and check out Working at Appcast on our website.
We take care of our employees. We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities.
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.
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Languages
- English
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