Manager of Data & Analytics

Job Description

Job Title: Manager of Data & Analytics

Team: Digital Delivery

Reports to: VP Digital Delivery

Direct Reports: Yes

Effective Date: May 2025

FLSA Status: Exempt

Salary Range: $106,742-198,234

 

The Manager of Data & Analytics is a member of the Digital Delivery team at Meyocks, leading a small multidisciplinary team of marketing analysts and marketing researchers. This hands-on hybrid leadership/contributor role involves guiding the team while directly contributing to client projects focused on marketing analytics, market research, and performance insights.

 

The ideal candidate brings leadership experience, paired with a strong background in marketing analytics, marketing research, and technical execution. You will collaborate with account service, paid media, web development, creative, and leadership teams to deliver data-driven solutions that enhance client marketing efforts.

 

A curious mindset, commitment to innovation, and proficiency in both research and analytics disciplines will be key to success in this role.

 

Key Responsibilities:

Data Analysis & Insights
Analyzing paid, social, earned, and organic media performance data to assess effectiveness, identify trends, and optimize marketing strategies.
Analyzing survey data, customer feedback, and market trends to inform strategic marketing decisions.
Translating complex data into visually compelling, actionable insights and presenting findings to internal teams and clients.
Data Infrastructure & Technology Oversight
Overseeing and supporting the MarTech and data stack, including pipelines, APIs, ELT tools (e.g., Fivetran), and Snowflake data warehouse.
Optimizing data structure, warehouse organization, and naming conventions to improve reporting efficiency and consistency.
Writing and reviewing SQL queries and Snowflake views, ensuring scalability and efficiency in data transformation.
Building and maintaining Tableau dashboards to deliver actionable insights for internal teams and client stakeholders.
Advanced Analytics & Research
Leading development of advanced analytics solutions, including machine learning models, regression analysis, and factor analysis to solve business challenges.
Leading and supporting original primary research initiatives, both qualitative and quantitative, including survey design, fielding, and analysis.
Team Mentorship & Development
Leading and mentoring the data and analytics team ensuring excellence in execution.
Fostering a culture of collaboration, growth, and excellence within the agency.
Establishing and refining team workflows, best practices, and training programs to elevate team performance and efficiency.
Mentoring and guiding team members, fostering professional growth and skill development​.
Conducting regular one-on-ones and performance evaluations, setting individual and team goals.
Addressing challenges and providing constructive feedback to ensure team motivation and cohesion​​.
Contributing thought leadership content and representing Meyocks in professional communities, conferences, or publications.
Additional responsibilities and supporting tasks as needed.

 

Required Skills/Abilities:

Strong technical knowledge of SQL, Python, and/or R with the ability to write and support team members using these tools for data modeling, querying, and automation.
Proficiency in business intelligence tools such as Tableau, with a strong ability to interpret and synthesize data into strategic, actionable insights for clients and internal teams.
Familiarity with modern MarTech ecosystems and marketing data sources, including Google Analytics, Meta Ads, Google Ads, and CRM platforms, to support informed strategy and integration efforts.
Experience with data infrastructure and access technologies, including APIs, ELT/ETL tools (e.g., Fivetran, Zapier), and data warehouse platforms like Snowflake.
Experience leading cross-functional teams in data, analytics, and research—ensuring alignment between business objectives, technical execution, and marketing strategy.
Experience with statistical methods (e.g., hypothesis testing, experimental design) to support strategic decisions and model interpretation.
Awareness of data privacy and governance standards (e.g., GDPR, CCPA) and ability to oversee compliant data practices within the team.
Understanding of research tools and practices, including survey platforms (e.g., Qualtrics, Alchemer), market segmentation approaches, and competitive analysis.
Basic understanding of machine learning concepts and the ability to evaluate and direct team efforts involving segmentation models, predictive analytics, and automation tools.
Strong attention to detail and judgment, with the ability to oversee the accuracy, integrity, and confidentiality of data and insights delivered to stakeholders.

 

Education and Experience:

Bachelor's degree in marketing, data analytics, statistics, business, or a related field.
10+ years of professional experience in data analysis, marketing analytics, or market research, with at least 3 years of leadership experience.
Agency experience preferred.
Certifications in Tableau, Python, or SQL (preferred but not required).
Adobe Analytics and/or Google Analytics certification(s) preferred.

 

Other Requirements:

Occasional travel will be required for client meetings, conferences, professional training, or team collaboration sessions.
Availability for occasional after-hours work to meet deadlines or accommodate client needs.