Senior Data Analyst - AI-Driven Insights & Dashboards

Dayforce

United States

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Dayforce, a global HCM leader, seeks a Principal Data Analyst to turn data into strategic insights. You will drive decision intelligence initiatives, build advanced Power BI dashboards, and collaborate with cross‑functional teams to align analytics with growth and financial goals.

This role offers exposure to senior leaders and opportunities to implement AI‑driven analytics across the enterprise. Ideal candidates have 10+ years in data analytics/BI with expertise in Power BI, SQL, data modeling,

Qualifications

Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Business Analytics, or a related analytical field; Master’s degree preferred.
10+ years of progressive experience in data analytics, business intelligence, data science, decision science, econometrics, or similar analytical roles, preferably within an enterprise SaaS, technology, consulting, or complex business environment.
Deep expertise in Power BI and SQL, including scalable semantic models, executive dashboards, reporting, and self‑service analytics.
Strong understanding of data modeling, KPI design, data quality, and governance practices.
Demonstrated ability to translate ambiguous business questions into structured analytical approaches, identify root causes, quantify business impact, and recommend practical actions.
Experience partnering with senior leaders and cross‑functional stakeholders to define success metrics, interpret performance trends, and connect analytics to financial, operational, customer, and growth outcomes.
Proven experience leading complex analytics initiatives from concept through implementation with minimal oversight.
Working knowledge of AI, machine learning, and advanced analytics concepts including regression, clustering, classification, forecasting, segmentation, anomaly detection, and predictive modeling.
Ability to identify opportunities to leverage AI, automation, and advanced analytics to improve reporting efficiency, forecasting, and business decision support.
Exceptional communication and storytelling skills with the ability to present complex data to executive and non‑technical audiences.
Strong business and financial acumen with the ability to prioritize analytical initiatives based on business value.
High degree of curiosity, ownership, sound judgment, and attention to detail.
Experience in the Human Capital Management (HCM) industry is preferred.

Responsibilities

Translate business questions into analytical solutions that go beyond stated needs by proactively surfacing insights that guide executive strategy and operational excellence.
Design, build, and maintain advanced Power BI dashboards that visualize performance metrics, automate reporting, and democratize access to insights across teams.
Partner with business leaders across designated departments to define key metrics, interpret performance results, and connect analytics to financial and growth objectives.
Collaborate with the Data Science team to build and maintain predictive and prescriptive models, including regression, clustering, decision trees, customer segmentation, and revenue optimization.
Champion data quality and governance by identifying data gaps, implementing cleansing and validation best practices, and partnering with Engineering teams to strengthen data integrity.
Continuously evaluate AI tools, techniques, and platforms that enhance automation, forecasting, and insight generation across business functions.
Present complex analyses as clear, compelling narratives and actionable recommendations for senior leadership.
Stay current on emerging analytics technologies, visualization trends, and AI innovations that can drive competitive advantage.