Sr Marketing Data Analyst

• 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.

• 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.

#LI-Hybrid