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Senior Data
2 months ago
- Provides a holistic view of full-funnel marketing performance across brand and performance media, owned channels, and branch team tools and strategies.
- Produces deep-dive ROI and attribution analysis in marketing programs, including campaign matchback.
- Designs automated reports and dashboards - lead marketing, technology, and analytics teams, as well as external vendors, to define and deliver.
- Leads prioritization, scope description, and definition documentation for Growth Marketing's needs from other internal Insights & Measure, Data, and Analytics team
- Analyze behavioral and financial data to demonstrate return on investment.
- Support the development of innovative solutions to measure and evolve omnichannel marketing performance, such as CRM implementation, website journey optimization and multi-touch attribution.
- Clean, transform and prepare data for analysis in visualization and reporting tools.
- Create impactful, data-driven stories that answer business questions and inform decision-making for marketing campaigns, product development and experience design.
- Develop and manage business relationships with marketing strategists, product owners, channel managers, content strategists, and Marketing and Technology leaders.
- Proactively identify new business, marketing or efficiency opportunities, propose solutions and drive implementation of solutions with support from leader.
- Serve as a subject matter expert and clearly communicate complex analytical information to non-technical audiences, including senior leadership.
- Exchanges straightforward information, asks questions and checks for understanding
- Explains complex information to others in straightforward situations
- Explains difficult or sensitive information; works to build consensus
Hiring Maximum: $164262 Skills/Requirements What You'll Need:
- 5-7 years' experience in relevant field
- At least 4 years of analytics experience
- Bachelor's Degree with an emphasis in business, economics, math, engineering, or analytics preferred (or relevant work experience)
- Advanced Degree or Certification preferred
- Requires conceptual knowledge of theories, practices, and procedures within a job discipline
- Requires expanded conceptual knowledge in own job discipline and broadens capabilities
- Proficiency interacting with various database and file storage systems (Examples: Oracle, Hadoop, NoSQL). Understanding of join types.
- Intermediate experience with data manipulation languages, such as SQL, required
- Understanding of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, various regression techniques, machine learning, exploratory analysis, and variance analysis techniques.
- Ability to determine if particular analytic problem requires capabilities that don't reside in the division. Proficiency in applying descriptive statistics, univariate analysis, forecasting, economic modeling, and class variance analysis.
- Ability to use special statistical software for appropriate use cases
- Ability to perform univariate analytic analytical techniques
- Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements; May coach, mentor or provide guidance within or across teams
- Ability to work effectively both independently and in a team environment, independently organize, plan & prioritize individual effort needed to ensure overall success of cross-functional projects. Occasionally lead cross-functional teams responsible for divisional objectives.
- Takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
- Ability to identify the question(s), what data is needed, analyze and interpret the results to recommend solutions to senior & executive division leaders for a broad spectrum of business improvement opportunities in a clear and concise manner
- Execute on projects of a moderate complexity which involve cross-functional teams, collaborate well with associates and leadership throughout the division (and potentially firm leadership and/or external vendors)
- Proficiency with reporting using tools like Salesforce Marketing Cloud, Data Cloud, Marketing Cloud Intelligence, and Google Analytics
- Experience measuring and optimizing customer journeys, marketing programs & campaigns, marketing automation and personalization.
- Experience with a CRM system, especially Salesforce Financial Services Cloud is a big plus.
- Proficiency with data visualization tools such as: Tableau, Power BI, Salesforce Marketing Cloud Intelligence (PKA Datorama), Google Data Studio, Excel
- Experience with web analytics and optimization tools such as Google Analytics, Tag Manager, Optimize, Contentsquare.
- Understanding of data storage platforms such as Snowflake.