Data Analytics Lead

Description

Agency:

Critical Mass

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

As a Data Analytics Lead, your curiosity never ends. The next question is always on your mind, helping you demonstrate the value of marketing science to internal and external stakeholders. You bring in 5 to 8 years of experience, leading others in delivering Data Analytics projects across a broad range of initiatives, with a demonstrated expertise in at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience optimizing digital marketing efforts by systematically using data-driven insights, enjoy collaborating with others, and excel at leading and training juniors to translate findings into clear, actionable and executable insights.

Gaining leadership experience through supervising and developing a passionate team of analysts (including managing their work priorities, timelines, deliverables, and training) is definitely something you’re looking for. And you’ll expose your analyst to all Marketing Science sub-disciplines to help develop their expertise.

Responsibilities

• Ensure that the analyses, reports, dashboards and other deliverables created by the team fulfill client needs.
• Shape analytics content and provide point of view on methodology and technology.
• Lead the ideation, development and execution of measurement strategies and frameworks.
• Assist in mapping and implementing data flows and ensure compliance with data governance protocols.
• Manage, develop and motivate analysts: participate in resourcing, hiring and training planning.

Requirements

• B.S. degree in a quantitative or technical field. Including but not limited to economics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
• Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, considerable experience presenting directly to clients.
• Extensive experience in data science and advanced analytics applied to solving business problems.
• Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
• Experience with two or more visualization platforms: Tableau, Domo, PowerBI, etc., and knowledge of the strengths and weaknesses of the market leaders.
• Experience providing task direction and/or mentoring junior analysts.
• Media/Marketing:
• Reporting or analytics experience with at least 2 media platforms (e.g.: Google Campaign Manager, Google Ads, Facebook Insights, Search Ads 360, etc.).
• An understanding of traditional advertising and how it is planned and executed.
• Experience with Market Research techniques, and how they can be leveraged to support Digital Marketing initiatives.

Benefits

• Global maternity and parental leave
• Competitive benefits packages
• Vacation, compassionate leave, personal/sick days, and flex days
• Access to online services for families and new parents
• Early Dismissal Friday’s (off at 3:00 PM local time every Friday)
• 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 2 days a week.
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• Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.