

Tandym Group
Senior Manager Commercial Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Manager, Commercial Analytics, requiring 5+ years of experience in data analytics and statistical modeling. The contract lasts over 6 months, with a pay rate of “$X/hour”. Work is onsite 3 days/week in New York City.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Strategy #Big Data #AWS (Amazon Web Services) #Predictive Modeling #Storytelling #Statistics #Mathematics #SQL (Structured Query Language) #Data Storytelling #Python #ML (Machine Learning) #Data Engineering #"ETL (Extract #Transform #Load)" #Leadership #Neural Networks #Visualization #Propensity Scoring #Redshift #Data Science #Forecasting #Transformers #Computer Science #Tableau #Databricks
Role description
A top client in media industry is seeking a Senior Manager, Commercial Analytics to join our dynamic team on a long term contract basis. This is an individual contributor opportunity.
This position requires an onsite presence 3 days per week in New York City.
Responsibilities:
• Lead and manage advanced analytics projects from concept to execution, delivering innovative solutions that drive business growth and operational efficiency
• Drive advanced analytics initiatives that accelerate subscriber and revenue growth
• Partner with marketing and cross-functional teams to design and evaluate A/B and multivariate experiments, providing robust statistical analysis and insights
• Oversee high-impact projects involving experimental design, predictive modeling, and machine learning solutions
• Guide the development and implementation of best-in-class machine learning and statistical models to support key business initiatives
• Translate complex quantitative analyses into clear, actionable insights through compelling data storytelling and visualization
• Collaborate with data scientists, big data engineers, and business stakeholders
• Engage with senior business stakeholders to shape strategy, define success metrics, and influence data-driven decision-making across the organization
• Present findings and recommendations to executive leadership, articulating the business impact of analytical initiatives
• Foster strong partnerships with data science, engineering, and business teams to advance analytics maturity and innovation
Qualifications:
• 5+ years of progressive experience in Data Analytics, Experimental Design, and Statistical Modeling
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, or a related quantitative discipline
• Advanced proficiency in SQL and Python
• Experience with Tableau, Databricks, AWS Redshift, and other data visualization and big data platforms
• Experience with modern ML techniques: Causal ML (Meta Learners, forecasting), Neural networks, transformers, Sequential modeling (e.g., LSTM, transformers), Recommendation engines, advanced models beyond basic propensity scoring
• Demonstrated expertise in statistical testing, randomized experiments, and predictive modeling algorithms
• Proven ability to manage complex projects, lead cross-functional teams, and deliver high-quality results under tight deadlines
• Strong communication, presentation, and storytelling skills
• Excellent organizational, time management, and prioritization skills in a fast-paced, dynamic environment
• Strong commitment to collaboration, internal client service, and continuous improvement
A top client in media industry is seeking a Senior Manager, Commercial Analytics to join our dynamic team on a long term contract basis. This is an individual contributor opportunity.
This position requires an onsite presence 3 days per week in New York City.
Responsibilities:
• Lead and manage advanced analytics projects from concept to execution, delivering innovative solutions that drive business growth and operational efficiency
• Drive advanced analytics initiatives that accelerate subscriber and revenue growth
• Partner with marketing and cross-functional teams to design and evaluate A/B and multivariate experiments, providing robust statistical analysis and insights
• Oversee high-impact projects involving experimental design, predictive modeling, and machine learning solutions
• Guide the development and implementation of best-in-class machine learning and statistical models to support key business initiatives
• Translate complex quantitative analyses into clear, actionable insights through compelling data storytelling and visualization
• Collaborate with data scientists, big data engineers, and business stakeholders
• Engage with senior business stakeholders to shape strategy, define success metrics, and influence data-driven decision-making across the organization
• Present findings and recommendations to executive leadership, articulating the business impact of analytical initiatives
• Foster strong partnerships with data science, engineering, and business teams to advance analytics maturity and innovation
Qualifications:
• 5+ years of progressive experience in Data Analytics, Experimental Design, and Statistical Modeling
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, or a related quantitative discipline
• Advanced proficiency in SQL and Python
• Experience with Tableau, Databricks, AWS Redshift, and other data visualization and big data platforms
• Experience with modern ML techniques: Causal ML (Meta Learners, forecasting), Neural networks, transformers, Sequential modeling (e.g., LSTM, transformers), Recommendation engines, advanced models beyond basic propensity scoring
• Demonstrated expertise in statistical testing, randomized experiments, and predictive modeling algorithms
• Proven ability to manage complex projects, lead cross-functional teams, and deliver high-quality results under tight deadlines
• Strong communication, presentation, and storytelling skills
• Excellent organizational, time management, and prioritization skills in a fast-paced, dynamic environment
• Strong commitment to collaboration, internal client service, and continuous improvement