Job Overview
Data Scientist III will perform business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
- Determines best practices and develops actionable insights and recommendations for the current business operations
- Works directly with the internal or external client to identify analytical requirements
- May help to produce ad hoc data and reports
- May assist in implementing or developing systems to capture business operation information
- May occasionally guide less experienced business data analysts
- Designing user-friendly, automated dashboards for marketing stakeholders
- Translating raw numbers into clear insights and recommendations
- As a Data Scientist III, you will ensure accuracy, consistency, and compliance with data standards
- Defining and maintaining standardized marketing metrics and reporting structures
- Explaining complex data findings to non-technical stakeholders
- Partnering with marketing, finance, and data engineering teams
- Identifying root causes of performance issues and recommending optimizations
Requirements
- Bachelor’s degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or a related quantitative field
- Master’s degree in Data Analytics, Business Intelligence, or Marketing Analytics is a plus
- SQL proficiency: Writing complex queries to extract, join, and transform data from relational databases
- Data visualization tools: Expertise in tools like Qlik Sense for building dashboards and reports
- ETL knowledge: Familiarity with data pipelines and tools (e.g., Superglue, Alteryx, Informatica, dbt, Airflow)
- Statistical analysis: Understanding of statistical methods, A/B testing, regression analysis, and forecasting
- Scripting languages: Python or R for deeper data analysis and automation (nice-to-have)
- Digital marketing metrics: Understanding of KPIs such as CTR, CPC, ROAS, LTV, conversion rates, and funnel analysis
- Channel expertise: Familiarity with key digital marketing channels, including SEO, social media, email marketing, and affiliate programs
- Attribution modeling: Knowledge of multi-touch attribution and marketing mix modeling
- Attention to detail: Ensuring accuracy and reliability of reports
- Curiosity & business acumen: Proactively identifying trends and opportunities in the data
- Campaign performance measurement: Ability to track and evaluate campaign effectiveness across different channels
Are you interested in this position?
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Employer : Armendes Ltd
