Role :
Data Analyst with Marketing Analytics - Remote
Location :
Work From Home
JOB DESCRIPTION:
Data Science & Analytics team is expanding within Consumer Marketing organization, with a laser focus on building data tools, supporting experimentation, develop predictive models and extract data-driven insights to achieve our goals for a direct-to-consumer marketing organization which supports 400 million customers worldwide. With a focus on our Retention business, this is an opportunity to work with creative businesspeople who are change agents for our business practices and methodologies and affecting top line revenue.
This is a remote position in India. We will only consider candidates currently in India and are not offering relocation assistance at this time.
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What you will do
- Work with Retention Marketing specialists to form creative solutions and design experiments using deep statistical knowledge to guide marketing insights.
- Solve ad-hoc data questions from Marketing Retention team.
- Run data analysis to support experimentation, convert analytical findings into customer insights that power marketing strategies and programs across end-to-end customer journey.
- Design, develop and automate data tools and dashboards that allow to monitor metrics in a highly scalable self-service way.
- Implement data hygiene, data standardization and data transformation that optimizes other data processes.
- Partner with different team members to solve data problems, identify trends and find opportunities.
Education Required:
- Master’s Degree / Bachelor’s Degree in Statistics, Econometrics, Computer Science or related quantitative fields preferred.
skills
- Master’s Degree / Bachelor’s Degree in Statistics, Econometrics, Computer Science or related quantitative fields preferred.
- 2+ years of progressive experience in a data analyst role including data mining, data transformation and delivering relevant insights.
- 2+ years of experience in programming with SQL, Python or R for exploring and transforming data within a relational database environment.
- 2+ years of experience on data visualization tools such as Tableau, Power BI, R Shiny, D3.js, etc.
- 1+ years of experience on Statistical Testing (Frequentist A/B testing, Bayesian A/B testing or Multivariate testing) and design of experiments.
- Experience in handling large datasets in big data environments using PySpark is a bonus.
- Experience working in Databricks within a cloud environment (Azure, AWS) is a bonus.
- Experience with MicroStrategy, Adobe Analytics or Google Analytics.
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