Overview

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

5-8 years relevant experience

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.

Good to Have

Machine Learning: Experience with predictive modeling using Machine Learning techniques.

Unstructured Data Analysis: Experience with unstructured data analysis, such as call transcripts, using Natural Language Processing (NLP) or Text Mining.

Industry Background: Experience in the financial services sector. Visualization Tools: Proficiency with Tableau or other data visualization tools.

Education:

• Masters (preferred) in Engineering, Technology, Statistics, Economics or similar quantitative disciplines

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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