Marketing Analytics Data Analyst

Duration:  9 Months

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Key Responsibilities:

• Conduct in-depth statistical analysis and research to provide valuable insights to advertisers in CPG and Healthcare industries.
• Explain complex statistical concepts and research methodologies to both internal and external stakeholders.
• Collaborate with sales teams to identify learning needs and prioritize objectives.
• Provide guidance on methodology selection for marketing campaigns.
• Lead the analysis of campaign results and present findings to clients.
• Implement lift methodology and contribute to marketing mix modeling efforts.
• Embrace ambiguity and adapt to changing day-to-day tasks.

Required Skills:

1. Strong data analysis skills.

2. Proficiency in statistics and research methodology.

3. SQL proficiency.

4. Familiarity with R and Python (Nice to have).

5. Ability to meet project deadlines.

6. Excellent communication and presentation skills.

7. Quality-driven mindset in statistical analysis.

Preferred Qualifications:

• Experience in marketing analytics or related fields.
• Familiarity with CPG and Healthcare industries.
• Previous work with sophisticated advertisers.
• Knowledge of lift methodology and marketing mix modeling.

Top 3 must-have HARD skills:

• Strong data analysis skills.
• Proficiency in statistics and research methodology.
• SQL proficiency.

Good to have skills:

Knowledge of lift methodology and marketing mix modeling.

Performance Measures

• Ability to work effectively with internal and external stakeholders.
• Quality of statistical analysis and reporting.
• Meeting project deadlines consistently.

Interview Process:

1. Initial 30-minute behavioral interview.

2. Follow-up technical interview, which may include SQL and statistical questions.

3. Possible take-home analytics test or additional technical interview.