Offer summary

Qualifications:

7-10 years of experience in B2B marketing analytics., Advanced degree or equivalent experience in statistics, applied mathematics, or a related field., Expert knowledge in statistical analysis tools such as SAS, SPSS, R, Python, and SQL., Proficient in data visualization tools like Tableau and Power BI..

Key responsabilities:

Analyze market trends and campaign performance to optimize marketing strategies.

Develop predictive models and perform behavioral segmentation for ABM strategies.

Create dashboards to track KPIs and communicate insights to clients.

Mentor and manage team members while participating in leadership training.

Job description

Role: Senior Marketing Data Analyst

Location – United States

Experience: Data-driven professional with strong analytical skills and 7-10 years of experience in B2B marketing analytics.

Remuneration: Competitive and benefits commensurate with experience.

NowVertical is a publicly listed company on the TSXV headquartered at Toronto, Canada. We are a growing team, with operations in tow regions - NA & EMEA and LATAM. We help clients transform data into business value with AI, fast. NowVertical Group empowers organizations to transform their data into actionable insights, driving strategic growth and innovation. At NowVertical, we provide advanced data solutions and services designed to achieve key objectives across various business functions. Our tailored approach ensures that we address the unique challenges and opportunities within each function, driving innovation, efficiency, and growth. Explore our specialized solutions and see how we can help your business thrive.

Know more about NowVertical - https://www.nowvertical.com/

We are seeking an experienced Senior Marketing Data Analyst to join our analytics & AI Solutions & Services company, specializing in B2B and Account Based Marketing (ABM) for technology clients.

Requirements

What you’ll do…

This Sr. Marketing Analyst will analyze market trends, contact and account behavior, and campaign performance to optimize marketing strategies. Key responsibilities include:

Data Analysis and Modeling:

o Utilize statistically rigorous methodology to perform marketing analysis using demographic, sociographic, credit, and proprietary client-supplied consumer data

o Develop predictive response models using accepted statistical procedures for B2B marketing and ABM strategies

o Apply best practices in data preparation, cleansing, and create predictive and descriptive derived concepts from raw data

o Implement behavioral segmentation and perform market analysis to identify high-value accounts and decision-makers for ABM strategies

Campaign Optimization:

o Analyze campaign performance and conduct funnel analysis to optimize lead generation and conversion rates

o Apply experimental design methodology to develop multi-variate testing strategies in B2B marketing contexts

o Provide data-driven recommendations for improving campaign effectiveness and ROI

Reporting and Communication:

o Create and maintain dashboards to track KPIs and visualize marketing performance for technology clients

o Communicate program performance results and insights to marketing and business staff of client companies

Strategic Recommendations:

o Evaluate and recommend martech solutions to enhance clients' B2B marketing capabilities

o Translate complex B2B data and analytical insights into actionable marketing strategies

Leadership:

o Mentor and manage at least one direct report, fostering their B2B analytics skills and professional growth

o Participate in leadership and development training for the global team

Skills and Qualifications:

Ability to work with clients to determine the best approach to answer business questions and identify actionable insights. Experience applying statistical procedures to database marketing or market research. Advanced degree or equivalent experience in statistics, applied mathematics, scientific, or engineering field. Expert knowledge in experimental design, SAS programming, SPSS, R, Python, SQL, or other statistical analysis tools. Advanced use of Tableau, PowerBI, Business Objects. Experience with Google Analytics, Google Search Console and automated data extract procedures. Ability to work with client side contacts, present results in professional meetings, communicate business opportunities resulting from analytical work.

Additional Skills:

· Proficient in coding SQL to analyze multiple data sources and extract results

· Expertise in R or Python coding

· Model development

· Experience with AI and ML tools

· Experience in database design, structure creation, data cleansing algorithms

· Extensive experience in data visualization tools such as Microsoft Power BI or Tableau

· Comfortable communicating directly with RA staff about client needs and objectives

· Ability to critically think through client requests: identify objective, troubleshoot obstacles, and deliver in timely manner

You’ll fit in by…

• Thinking like an owner (Founder’s Mindset)

• Communicating with honesty, candour, and respect