- Develop and implement MMM models to evaluate marketing effectiveness.
- Utilize Python for data manipulation, analysis, and visualization.
- Apply Bayesian statistical methods to model uncertainty and make predictions.
- Perform regression analysis to identify relationships between variables.
- Create and maintain databases for storing and retrieving data for analysis.
- Communicate findings and recommendations to stakeholders through reports and presentations.
- Collaborate with crossfunctional teams to understand business requirements and deliver actionable insights.
- Stay updated with industry trends and advancements in MMM and Bayesian modeling.
- Participate in the development and validation of modeling techniques and tools.
- Provide mentorship and guidance to junior team members.
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
- Proven experience applying MMM techniques in a business setting.
- Proficiency in Python for data analysis and manipulation.
- Strong understanding of Bayesian statistics and its applications.
- Experience in regression analysis and predictive modeling.
- Ability to work with large datasets and databases.
- Excellent problemsolving and analytical skills.
- Effective communication and presentation abilities.
- Ability to work both independently and collaboratively in a team environment.
- Detailoriented with a focus on delivering accurate and reliable results.
- Familiarity with machine learning concepts is a plus.
- Previous experience in marketing analytics or similar role is preferred.
- Proficiency in relevant software tools such as R, SAS, or SQL.
- Strong project management skills with the ability to prioritize and meet deadlines.
- Continuous learning mindset to adapt to evolving methodologies and technologies.
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Data Analyst - Bangalore/Hyderabad/Pune/Chennai, India - Notus
Description
Overview :
The position of MMM + Python + Bayesian + Regression requires an individual with a strong foundation in data analysis and modeling.
The role is crucial for leveraging statistical and machine learning techniques to provide valuable insights for decision-making within the organization.
Key Responsibilities :
Required Qualifications :