We are seeking a highly motivated and skilled Business Analytics Intermediate Analyst with a specialized focus on Sales and Marketing analytics. The ideal candidate will be instrumental in transforming complex data into actionable insights, driving strategic decision-making, and optimizing our sales and marketing efforts. This role requires a strong analytical mindset, proficiency in various analytical techniques, and excellent communication skills to articulate findings to diverse stakeholders.
Responsibilities:
- Utilize Python, Pyspark, and SQL to extract, manipulate, and analyze large datasets, to deliver on sales and marketing opportunities and track performance.
- Apply strong logical reasoning and problem-solving skills to address complex business challenges within the sales and marketing domain.
- Identify significant trends, patterns, and anomalies within sales and marketing data to uncover opportunities and risks.
- Conduct in-depth analyses using a variety of analytical methods, including hypothesis testing, customer/market segmentation, time series forecasting, and test vs. control comparisons.
- Develop clear, concise, and impactful presentations using MS Excel and PowerPoint to communicate analytical findings and recommendations to business leaders.
- Collaborate with sales and marketing teams to understand their analytical needs and deliver insights that support their strategic goals.
- Contribute to the continuous improvement of analytical methodologies and data reporting processes.
Qualifications:
Must Have:
Technical Proficiency:
- Strong expertise in Python, Pyspark, and SQL for data analysis and manipulation.
Data Presentation:
- Proficient in MS Excel and PowerPoint for data visualization, reporting, and presentation.
- Analytical Acumen: Demonstrated strong logical reasoning and problem-solving ability.
- Pattern Recognition: Proven proficiency in identifying trends and patterns within data.
- Communication: Strong written and verbal communication skills, with the ability to convey complex analytical concepts clearly to non-technical audiences.
- Analytical Methods: Extensive experience across different analytical methods, including hypothesis testing, segmentation, time series forecasting, and test vs. control comparison.
- Domain Expertise: Direct experience in Sales & Marketing analytics and campaign management.
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