Data Analyst

Northwestern Mutual is a leading financial services company, and they are seeking a Data Analyst to facilitate the Finance Governance framework and provide analysis to drive governance improvements. The role involves summarizing data into actionable reports, collaborating with teams, and implementing best practices in data governance.

Responsibilities

• Facilitates the Finance Governance framework/processes at the direction of the Data Governance & Rptg Sr Dir and other Finance leaders
• Provides quantitative and qualitative analysis and reporting of patterns, insights, and trends to decision-makers in order to drive stronger Governance
• Summarizes analysis into user-friendly deliverables by translating detailed data into business-appropriate communication and recommendations
• Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
• Ability & desire to learn the business domain supported
• Applies this understanding towards analysis & deliverables for Data Governance
• Ability to communicate acquired knowledge within applicable teams, such as Finance and Technology
• Seeks to understand business process, user tasks, and as necessary, document processes, findings, etc
• Implementing best practices, methodologies, standards and processes for Data Governance
• Takes initiative to design and develop deliverables based on interpretation of findings and business client needs and based on enterprise standards
• Collaborates with team for speed, agility and innovation in work
• Occasionally contributes to the growth & development of the organization through actively sharing result & insights with cross-functional teams
• Identifies & captures business requirements, contributes to KPI framework
• Embraces continuous learning, curiosity, and ambiguity
• Occasionally applies new perspectives, creative problem solving, and inter-departmental connections to improve analytical capabilities
• Occasionally contributes to the growth & development of the organization through actively sharing result & insights with cross-functional teams

Skills

• Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business or related field
• At least 1-3 years of experience/knowledge in data analysis or data governance
• Expertise in one or more development or analytical tools such as SAS, SQL, MS Excel, SPSS or other tool. Visualization tooling like PowerBI or Tableau
• Ability to deliver results and recommendations in written, verbal and presentation form for business and technical audiences
• Skills in problem solving, research, quantitative analysis and analytical working techniques
• Strong aptitude and desire for learning new platforms, development, analytic and presentation tools
• Demonstrated ability to gather information systematically; consider a broad range of issues or factors and use accurate logic in analysis
• Initiative to independently design and develop own deliverables while still being a team player
• Ability to manage and prioritize concurrent assignments, and handle ambiguity
• Creative and innovative in problem solving and formulating solutions
• Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences
• Analytical Thinking: Organizes and compares various aspects of a situation to comprehend and identify key or underlying complex issues through the use of quantitative data and analysis; leverages strong business acumen, problem solving, and interpersonal skills to think critically about situations from multiple perspectives and consistently seeks ways to improve processes
• Business Acumen: Applies knowledge of both general and organization-specific business issues/financial implications for the organization to problem solve
• Data Literacy: Utilizes appropriate data for a particular purpose by thinking critically about information yielded by data analysis; applies data analytics tools/methods and their appropriate purposes and recognizes when data is being misrepresented to resolve issues or escalate to the appropriate party
• SQL: Applies clear, logical codes for small and large-scale projects using the language constructs and object-oriented approach of SQL to manage data in a database management system
• Storytelling through Data: Communicates insights and opportunities from a dataset, using narratives, visualizations, and analysis
• Tableau or Power BI: Applies data visualization functionalities in Tableau or PowerBI to display data in consumable format

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