- Manage a team of high-energy, curious, technically skilled analysts, ensuring they have opportunities to expand their skills and commercial knowledge about the businesses and stakeholders they support.
- Develop and maintain a strategy that covers data, coding, and reporting assets that support overall marketing objectives.
- Provide actionable insights to business stakeholders based on marketing data across the entire funnel.
- Leverage a strategic mindset with proven analytical and quantitative skills to measure, interpret, and communicate marketing performance at the executive and business unit levels.
- Keep abreast of the latest industry and competitive trends to provide recommendations that align with vision for the department and organization
- Manage all phases of the project management life cycle to drive efficiency and prioritize marketing efforts.
- Oversee all analytics projects to ensure accuracy and integrity of data, robustness of analysis, and marketing insights to drive marketing’s business needs
- Be responsible for lead management, including lead scoring, lead routing, and periodic review of the lead scoring model.
- Drive integration of data platforms and data quality especially between the marketing automation platform and the CRM (Salesforce) by working collaboratively with other departments such as Engineering, and Sales.
- Ensure marketing data complies with all regulatory controls (e.g. GDPR, CCPA) and communication preferences indicated by customers and prospects.
You’ll need to have:
- Bachelor’s degree (Master’s degree a plus) in Computer Science, Business Intelligence with expertise in marketing analytics, product analytics, sales analytics, or a related field
- 10 years related hands-on experience in enterprise-level systems and software (e.g., Salesforce.com, Marketing Automation), Visualization tools (e.g. Tableau, PowerBI), Web analytics (e.g. Google Analytics, Adobe, Amplitude), Data analytics tools (e.g. SQL, Python, R) and skilled in translation of data into actionable intelligence
- Demonstrated experience leading analytics teams and working with diverse cultures and view points, and building a culture of openness where team members feel valued
- Knowledge of marketing attribution models and statistical techniques such as regression, forecasting, and data modelling
- Demonstrated experience with developing and maintaining an analytical strategy that provides data-driven campaign performance insights
- Demonstrated experience working in large organizations requiring strong networking across teams as diverse as engineering, sales, product, and finance
- Demonstrated acumen in interpreting and communicating marketing results across the entire funnel – web analytics, lead generation, lead qualification, and opportunities
- Deep experience in digital channel analytics (paid, organic) and campaign analytics
- Experience with B2B marketing, campaign development, and go-to-market strategies
- Familiarity with Agile methodologies, sprint planning, JIRA, Git Hub for code governance
- Strong knowledge of Salesforce Marketing Cloud (or other marketing automation platforms), Salesforce, AWS Redshift, Hubspot, Eloqua
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).
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What We Do
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