Data Analyst II

Principal Financial Group • Des Moines, IA

2d • Hybrid

About The Position

As a Data Analyst II, you will be a key analytics partner on a cross-functional product team comprised of Data Engineering, Data Analytics, and Product Management. In this role, you will develop insights through general analytics and statistical modeling, examine and identify data patterns and trends, and deliver presentations or dashboards that support data-driven storytelling and business decisions.

Beginner/Intermediate Data Preparation: Utilizes best practices in data preparation, data quality, analytics, and dashboard design to provide business partners with trusted and actionable insights.
Beginner/Intermediate Modeling Skills: Performs statistical modeling on existing data sets. Develop analytic models that support business initiatives. Effectively utilize sophisticated tools/technologies to mine data sources providing relevant information in a consumable manner. 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.
Beginner/Intermediate Decision Making and Critical Thinking: Consulting 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.
Beginner/Intermediate Visualization Skills: Able to effectively articulate insights to help stakeholders answer the most critical questions. Create compelling written, numeric and visual summaries.
Applies data validation and quality assurance practices to ensure analytics solutions are accurate, reliable, and aligned with stakeholder expectations.
Design, build, maintain, and continuously improve analytics products, dashboards, and reporting solutions aligned to business and product objectives.
Partner with data engineers and fellow analysts throughout the analytics lifecycle to source, validate, interpret, and communicate data that supports business decisions.

Requirements

• Bachelor's degree in a Business, Technical, or Analytical field (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Economics, or related field).
• 2+ years of Data Analytics, Business Intelligence, or related analytical experience (e.g. mathematics, engineering or financial analysis).
• Experience using data to solve complex business problems and influence decision making.
• Strong verbal and written communication skills, including the ability to present complex findings to diverse audiences.
• Proven attention to detail and commitment to data quality.
• Demonstrated ability to collaborate across technical and business disciplines, contribute to shared solutions, and incorporate diverse perspectives.
• Comfortable working in agile, cross-functional teams and contributing to shared team objectives.

Nice To Haves

• Power BI or other Business intelligence applications (Domo, Looker, Qlik, Tableau).
• 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 Snowflake, SQL Server, Oracle, and DB2.
• Version control and collaborative development practices using Git, GitHub or other tools.
• Data modeling, reporting, and self-service analytics solutions.
• Dashboard and visualization design.
• Data storytelling and executive-level communication.
• Insurance industry experience.

Responsibilities

• Utilizes best practices in data preparation, data quality, analytics, and dashboard design to provide business partners with trusted and actionable insights.
• Performs statistical modeling on existing data sets.
• Develop analytic models that support business initiatives.
• Effectively utilize sophisticated tools/technologies to mine data sources providing relevant information in a consumable manner.
• 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.
• Consulting 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.
• Able to effectively articulate insights to help stakeholders answer the most critical questions.
• Create compelling written, numeric and visual summaries.
• Applies data validation and quality assurance practices to ensure analytics solutions are accurate, reliable, and aligned with stakeholder expectations.
• Design, build, maintain, and continuously improve analytics products, dashboards, and reporting solutions aligned to business and product objectives.
• Partner with data engineers and fellow analysts throughout the analytics lifecycle to source, validate, interpret, and communicate data that supports business decisions.

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.
• Pension Eligible

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level