Data Analyst III

Principal Financial Group

1d • $90,000 - $134,000 • Hybrid

About The Position

We’re looking for a Data Analyst to join our Decision Analytics team. In this role, you’ll look to deliver actionable insights for our distribution teams with data. Whether through data aggregation, report development or statistical analysis, our team strives to find new ways to solve the problems our partners face. Sales teams work fast, and we look to meet them where they are by finding new and creative ways to make their job easier using data.
You'll be responsible for conducting general analytics and statistical modeling on data sets across different business areas. This includes data aggregation, insight development, data analysis, and communicating findings. Identifying patterns and trends in the data to address business questions and support improved decision-making. Demonstrated skills in these areas:
Data Preparation: Incorporates standard processes in data preparation, UX, and data analytics to deliver highly informative and actionable insights to our business partners. Partner with data engineers to define & build data pipelines.
Modeling Skills: Performs statistical modeling on existing data sets. Develop analytic models that support business initiatives. Effectively apply advanced tools/technologies to mine data sources and deliver relevant information in an easily understandable format. Familiar with common statistical methods and applications (A/B testing, probability, regression)
Examines and identifies data patterns and trends to help answer business questions, provide insights, and improve data-driven decision making.
Decision Making and Critical Thinking: Collaborating with our business partners to use the data available to investigate issues facing the business, without always having a well-defined hypothesis. Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately and reach productive decisions.
Visualization Skills: Capable of clearly communicating findings to assist collaborators in addressing key queries. Create compelling written, numerical and visual summaries.
Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.
As Principal continues to modernize its systems, this role will offer you an exciting opportunity to build solutions that will directly impact our long-term strategy and tech stack, all while ensuring that our products are robust, scalable, and secure!

Requirements

• Bachelor’s degree in a Business or Technical field or equivalent experience, plus 3+ years of related analytics, consulting, project management preferred
• Business intelligence applications and/or cloud services (e.g., Alteryx, Domo, Looker, PowerBI, Qlik, Tableau, SiSense).
• No/Low code ETL and Orchestration platforms such as AWS Glue DataBrew or SAS.
• Data querying, transformation, and processing languages such as SQL, Python, Power BI DAX/M Query, or SAS.
• Operational, enterprise, and analytical relational/non-relational data stores such as PaaS cloud technologies, SQL Server, Oracle, and DB2.
• Knowledge of cloud platforms and surrounding ecosystems (AWS, Azure).

Nice To Haves

• Demonstrable ability to collaborate with colleagues to brainstorm ideas, solve problems, and drive projects to completion.
• Effectively communicate complex ideas and information to both technical and non-technical partners
• Ability to quickly adapt to changing priorities, business needs, and new technologies to meet evolving demands.
• Actively seek out and stay informed about emerging technologies and industry trends, demonstrating a strong willingness to learn and adapt.

Responsibilities

• Conducting general analytics and statistical modeling on data sets across different business areas.
• Data aggregation
• Insight development
• Data analysis
• Communicating findings
• Identifying patterns and trends in the data to address business questions and support improved decision-making.
• Data Preparation
• Modeling Skills
• Decision Making and Critical Thinking
• Visualization Skills

Benefits

• Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don’t accrue a bank of time off under FTO and there is no set number of days provided.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees