Digital Analyst

C5i; Minneapolis (MN); On-site; USD 70,000 - 110,000; Full time

Job summary

C5i is seeking a data analytics professional to lead a team of analysts within the Enterprise Data, Analytics, & Insights group. The role focuses on driving tangible business results through analysis of digital marketing initiatives and collaboration with senior marketing leaders on strategic initiatives.

You will oversee KPI reporting, dashboards, and self-service analytics enablement, partnering with multiple product teams and stakeholders to translate data into actionable recommendations.

Qualifications

• 2-5 years of relevant experience.
• Experience with digital analytics, KPIs, reporting and interpreting results.
• Experience with Adobe Analytics and Adobe Customer Journey Analytics.
• Ability to present insights to C-suite audiences.
• Strong communication and relationship-building skills.
• Experience leading enablement and self-service analytics initiatives.

Responsibilities

• Perform online reporting, collection, and analysis of complex digital qualitative and quantitative metrics from multiple sources; administer the site analytic reporting system; manage the collection and synthesis of data from multiple sources.
• Provide digital analytics support to several business stakeholders/teams - customer acquisition, product management, on-site user experience, website experimentation and optimization, project management, and IT.
• Assist in dataset creation by developing measurement plans and technical requirement documents for tagging; data extraction and quality control processes.
• Manage workload within the team by partnering with analytics department lead and senior marketing leaders; prepare for weekly team agile meetings and leadership prioritization discussions.
• Own the creation and reporting of monthly KPIs and dashboards; perform analysis and build processes for best practices in marketing performance.
• Be a subject matter expert for analytic tools owned by the analytics team and maximize their benefits and effectiveness.
• Identify opportunities for operational excellence within the team such as process optimization, role clarity, agile implementation, QA enhancements, speed to market, and self-service enablement.

Skills

Digital analytics

KPIs & reporting

Stakeholder management

Executive storytelling

Analytics enablement

Agile collaboration

Tools

Adobe Analytics

Adobe Customer Journey Analytics

SQL

Python

Pyspark

PowerPoint

Job description

This person will play a key role within EDAI (Enterprise Data, Analytics, & Insights) to drive tangible business results by providing actionable insights and recommendations through the analysis of digital marketing initiatives. This role will lead a group of analysts supporting several web or mobile app product teams. You will collaborate closely with Senior Director and VP-level marketing leaders on strategic initiatives, prioritization, and resourcing needs.

Key Responsibilities

• Perform online reporting, collection, and analysis of complex digital qualitative and quantitative metrics from multiple sources; administer the site analytic reporting system; manage the collection and synthesis of data from multiple sources. Discover issues, developing trends, or areas to investigate further. Pro-actively identify opportunities to drive tangible business results. Present data in a clear and compelling way to communicate insights, tell a story, and influence strategy.
• Providing digital analytics support to several business stakeholders / teams - customer acquisition, product management, on-site user experience, website experimentation and optimization, project management and IT
• Assist in dataset creation by developing measurement plans, technical requirement documents for tagging. This may include data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
• Manage workload within the team by partnering with analytics department lead and senior marketing leaders. This includes preparing for a series of weekly team agile meetings, bi-weekly marketing alignment meetings, leading analytics self-service and enablement initiatives, and monthly leadership prioritization discussions.
• This role will own the creation and reporting of monthly KPIs and dashboards, as well as perform analysis and build processes that ensure best practices in marketing performance.
• Responsible for one or more analytic tools owned by the analytics team. Be a subject matter expert for those tools and create a strategy for maximizing their benefits and effectiveness.
• Identify opportunities for operational excellence within the team. Some examples include optimizing operational process, clarifying roles and responsibilities, implementation of agile methodologies, standardization across the board, enhancing QA process, identifying opportunities to improve speed to market, self-service enablement for the business, etc.

Required Qualifications

• 2-5 years of relevant experience
• Digital analytics experience developing meaningful KPIs, Solution Design References (SDR), reporting, insights, and interpreting results
• Experience conducting analyses of digital data using Adobe Analytics, Adobe Customer Journey Analytics
• Experience leading and coaching employees
• Ability to share compelling insights using MS PowerPoint to C-suite audiences
• Strong relationship & communication skills working with colleagues and business partners; influencing customers on recommendations.
• Experience with leading enablement, COE, self-service analytics initiatives

Preferred Qualifications

• 3+ years of experience working in a big data environment (AWS, Azure) for data wrangling or analysis
• Experience working with Customer Data Platforms (CDP) such as the Adobe Experience Platform or Adobe Real Time CDP
• Experience coding in Pyspark, Python, SQL
• Ability to work and thrive in collaborative work environment as well as independently to drive results
• Proven track record of driving Analytics into actionable business outcomes
• Experience in financial services with knowledge of products, customers, transaction and interaction data, including source systems
• Demonstrated understanding of statistical analyses methodologies