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About the Role

This is a critical leadership role within an expanding data organization, focused on providing in-depth analysis and building data products to improve business performance. The role involves collaborating with business leaders, representing the data team, and becoming a data expert for a specific vertical.

Responsibilities

Investigate performance, trends, forecasts and bugs across multiple traffic sources and user journeys, reporting back to stakeholders with recommendations
Proactively identify areas where the data team can add value to the business, and collaborate with business and marketing teams to action those insights.
Contribute to reporting and ad-hoc data requests from the General Manager of your dedicated business area and members of their team.
Accelerate the organization from basic reporting and analysis to predictive/prescriptive analytics by outputting data products that can be used to generate reusable insights
Act as the primary data contact for your business area, working with the General Manager and members of their team to gather requirements, prioritize projects and communicate progress on a regular basis.
Communicate and answer questions based on your findings and recommendations to an audience of technical and non-technical stakeholders of multiple seniority levels.
Support your direct reports alongside other senior members of the Insights team to answer any technical questions and prioritize work based on value driven to the business
Manage time effectively and prioritize tasks based on value driven to the business
Strike the balance between maintaining high standards of analytical work and delivering value consistently

Requirements

4+ years of experience in data analytics, with 1+ years in a leadership, management, or senior mentoring role.
Experience working in digital marketing is a plus.
Ability to translate findings into recommendations to stakeholders at multiple levels of seniority in a clear and concise manner
Ability to communicate data to non-technical audiences through the use of reports and visualizations
Able to prioritize across different projects to focus on the highest-impact work and communicate those priorities to junior team members and/or stakeholders
High level of attention to detail, along with the ability “zoom out” to consider the larger goals
Excellent communication skills and proven ability to work cross-functionally across global teams.
Expert-level SQL skills, including advanced functions and a deep understanding of how to query large, complex datasets.
Familiarity with data from Google Analytics (GA4) and Ad platforms (Google Ads, Meta, TikTok, Taboola, Outbrain etc.)
Experience working in other roles within digital marketing, such as paid search marketing or conversion rate optimization
Experience with Python on either statistical analysis or data science concepts is a plus.
Experience collaborating with data scientists on ML workflows and experimentation platforms a plus
Experience in GCP
Experience working in agile environments, including sprint planning and ticket scoping

Skills

Data Analytics
Leadership
Mentoring
Digital Marketing
Data Visualization
SQL
Google Analytics (GA4)
Google Ads
Meta Ads
TikTok Ads
Taboola Ads
Outbrain Ads
Python
Statistical Analysis
Data Science
Machine Learning Workflows
Experimentation Platforms
GCP
Agile Methodologies

Location

Remote

Work Type

Full-time

Experience Level

4+ years in data analytics
1+ years in a leadership, management, or senior mentoring role

About the Company

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Equal Opportunity

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.