Associate Data Analyst

Summary

SRP (Salt River Project) is seeking a Human Resources (HR) Data & Reporting Analyst to join the Human Resource Operations team. This role delivers actionable workforce insights and scalable reporting solutions that enable data-informed decisions across HR and the business.

The HR Operations team provides technical expertise in data analytics, HR systems administration, communications, and process improvement, enabling HR partners to focus on strategic and advisory work in support of the business. You will be part of a dynamic and collaborative team and partner with HR functional areas (Benefits, Compensation, Employee Relations, Talent Management), and enterprise partners (Information Technology Services, Accounting, and Payroll).

In this role you will partner with business stakeholders to understand key questions, translate needs into analytical approaches, and deliver high-quality dashboards, reports and interactive visualizations. You will build and maintain reporting solutions in SuccessFactors and related HR data sources, apply sound governance and communicate insights through clear data storytelling to drive action. As a Data & Reporting Analyst at Salt River Project, your role is to be an expert at collaborating with our business groups to first understand their business needs, questions, and issues and then draw insight from SRP’s many data sources to design the best solution.

Finally, you will create reports, interactive visualizations, and dashboards to support both Human Resources and SRP. You will build reporting solutions, directly within SuccessFactors as legacy Human Capital Management databases. If you can focus on details, identify patterns and connections in complex datasets, innovate to resolve tricky problems, know how to tell a story using data, and love working with people, this is a fantastic opportunity for you!

What You'll Do

• Partner with HR and business stakeholders to translate questions into analytics and reporting solutions.
• Define, develop and monitor HR and workforce KPIs aligned to business and operational outcomes.
• Analyze and interpret results using statistical and analytical techniques to identify trends, risks, and opportunities.
• Recommend solutions and strategies to address business challenges

• Work with management to prioritize business and information needs

• Enable the enterprise to understand data, reporting and analytical methods
• Develop tools, templates, and models to support consistency and data quality
• Source and quickly understand datasets for a given analysis
• Ensure data quality through validation, cleansing, documentation and ongoing monitoring.
• Present insights to diverse audiences using effective visualization and narrative techniques.
• Create reports, interactive dashboards, and effective visualizations of data
• Explore reporting best practices and leverage this knowledge for reports and data analysis
• Analyze and interpret results using statistical techniques
• Tell a story with your solutions to influence behavior at all levels of the company
• Present information using data visualization techniques
• Share knowledge and skills with teammates to increase the team’s skill set & performance

Education

Experience

Our ideal candidate will meet the below experience:

Level I — Associate: In lieu of a degree, 4 years of relevant experience or an equivalent combination of education and experience totaling 4 years may be considered.

Additional Requirements and Qualifications

• Minimum 1-2 years of relevant experience in data analytics, data visualization, business analytics, business intelligence, or data warehousing
• Experience with PowerBI, SuccessFactors Employee Central Canvas Reporting, People Analytics, Tableau, or equivalent tool
• Experience with Strong Microsoft Excel skills
• Data Security/Classification knowledge
• Excellent verbal and written communication skills, and comfort with presenting to a wide range of audiences
• Knowledge of data privacy, security, and classification practices when handling confidential/sensitive HR data.
• Demonstrated customer orientation and ability to build trusted partnerships.
• Ability to explain complicated or technical information in an uncomplicated way to non-technical audiences
• Sensitivity to clients' needs and ability to develop trusted client relationships
• Curiosity and passion around data, data visualization, and problem solving
• Creativity to determine novel solutions for a real-world problem with quantitative data
• Strong analytical skills with attention to detail, accuracy and willingness to challenge assumptions and data integrity.
• Willingness to question the validity and accuracy of data and assumptions
• Enjoyment from collaborating with others in a team environment
• Eagerness and strong ability to learn in a fast-paced environment
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Preferred Knowledge of:

• Experience with descriptive statistics, probability, and cleansing big datasets
• History working with Confidential/Sensitive data
• Knowledge of SQL (HiveQL, T-SQL, PL/SQL, ABAP, etc.) to write complex, highly optimized queries across large volumes of data
• Data Science Concepts and Tools such as SAS, R, and/or Python
• Data Analyst experience in an HR or IT department