Primary Duties & Responsibilities:
Provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers in order to drive business decisions and address business questions.
Creates and is accountable for high quality, value driven work that drives business outcomes; places the user in the center of decision making; and collaborates with team for speed, agility and innovation in work.
Creates and produces forecasts, reports, dashboards, etc. to tell a story through data.
Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc).
Deliver results to Department leaders and Stakeholders.
Delivers results, insights and recommendations (written, verbal, presentations, etc) to business audience to support business decisions.
Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems.
Deep expertise in at least one business area or domain, with a broad understanding of the business and domains surrounding the main focus.
Takes & applies design direction. Applies data visualization best practices to work deliverables.
Seeks to understand business process, user tasks, and, as necessary, captures refined process documents.
Implements best practices, methodologies, standards and processes to share across teams.
Takes initiatives to design and develop deliverables based on interpretation of findings and business client needs on a wide range of analytical topics.
Provides consultation to business clients and may participate in cross-functional teams to address business issues.
Contributes to the growth & development of the organization through actively sharing results & insights across the teams and with Stakeholders.
Identifies & captures business requirements, develops KPI frameworks.
Regularly applies new perspectives, creative problem solving, and inter-departmental connections to improve analytical capabilities.
Embraces continuous learning, curiosity, and ambiguity.
Provides strategic direction and support for advanced analytics focused on answering detailed questions and telling a story around the data to support pre-client, client and field marketing initiatives.
Helps define and implement consistent measurement standards and reporting across all programs, leverage data to inform key business decisions, and make recommendations on how to move programs forward.
Provides data to drive actionable insights while making informed decisions.
Supports Ad Hoc analytics requests from marketing stakeholders and builds out reports as needed.
Qualifications:
Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business, Marketing or related field.
At least 4-5 years of professional experience.
At least 4 years of experience working in marketing analytics related field.
At least 3 years of hands-on experience doing marketing analytics work.
At least 5 years of progressively responsible experience in research and data analysis, application of statistical research techniques, report or application development that support business decisions/outcomes.
Expertise in development and application of analytical tools such as SAS, SQL, MS Excel, SPSS, R, Python, or other tool.
Visualization tooling like PowerBI or Tableau.
Familiarity with web analytics tools, Adobe Analytics preferred, and experience navigating various media partners and vendor UIs.
Ability to access, gather, and analyze data from multiple internal and external sources to drive insights into business problems, decisions, and performance.
Ability to articulate this knowledge as an expert at the department level and may be called on to provide insight at the enterprise level to provide detailed analysis.
Strong understanding of marketing strategies across the customer life cycle.
Subject matter expertise with marketing KPIs and a high degree of expertise with marketing programs.
Ability to convey analytical and technical concepts to non-analytical and non-technical staff.
Experience with strategic development and/or building propensity, media mix, multi-touch attribution, regression, predictive, or uplift models is a plus.
Experience with campaign management tools and analytical platforms.
Strong communication skills with a proven ability to build rapport and interact with cross-functional teams.
Excellent analytical skills, and strong detail orientation with an ability to handle and deal with large amounts of data, unstructured business problems, and synthesize data for others.
Compensation Range:
Pay Range - Start:
$76,650.00
Pay Range - End:
$142,350.00
Geographic Specific Pay Structure:
195 - Structure 110: 84,350.00 USD - 156,650.00 USD 195 - Structure 115: 88,130.00 USD - 163,670.00 USD
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
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Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
FIND YOUR FUTURE
We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging.
- Flexible work schedules
- Concierge service
- Comprehensive benefits
- Employee resource groups
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