Senior Analyst - Data & Insights

Job Overview

Analyze Marketing Campaigns: Evaluate the effectiveness of marketing campaigns and demand generation programs in driving leads, customer acquisition, and revenue growth for the business unit.​

Data Analysis Across Channels: Examine marketing and sales data from various sources—including CRM systems, web analytics, social media, email campaigns, search, direct sales, and indirect sales—to assess campaign performance, gauge customer engagement, and identify opportunities for optimization and growth.​

Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions.​

Storytelling with Data: Go beyond reporting numbers by crafting compelling narratives that help stakeholders quickly grasp insights and take action. Develop intuitive visualizations and presentations that turn complex datasets into clear, persuasive business stories.

Trend and Pattern Identification: Dive into large datasets to uncover patterns, trends, and customer segments to refine targeting strategies and personalize marketing efforts effectively.​

Operational Efficiency: Identify opportunities to streamline operations, promote data-driven decision-making, and support business growth through analytical initiatives.​

Predictive Analytics: Utilize statistical models and machine learning techniques to forecast customer behavior and anticipate marketing performance outcomes.​

Dashboard and Report Development: Develop and maintain dashboards, reports, and key performance indicators (KPIs) to measure and communicate the effectiveness of marketing initiatives.​

Data Accuracy and Consistency: Ensure the accuracy, consistency, and reliability of data collection, processing, and reporting methodologies.​

Cross-Functional Collaboration: Collaborate closely with marketing, sales, and product teams to align data insights with business objectives and inform strategic planning.​

Automated Reporting: Create automated reports on a weekly, monthly, and quarterly basis to provide timely insights into marketing performance.​

Ad Hoc Analysis: Conduct ad hoc data analyses and performance reports as required to address specific business questions or challenges.​

Advanced Analytics Tools Utilization: Leverage analytics tools such as Adobe Analytics, Tableau, SQL, Python, and Alteryx to extract, analyze, and visualize data effectively

What your background should look like:

• 4+ years in marketing analytics, business intelligence, or a related field
• 2+ years of experience analyzing sales and marketing data
• Strong ability to identify business issues, formulate plans to resolve these issues and effectively communicate the results to all levels of the organization
• Proficiency in data visualization (Tableau or similar visualization tools) along with story telling
• Proficiency in SQL or Python for data manipulation and analysis.
• Experience in AWS, R, regression, Machine learning etc. and Knowledge of predictive modeling, machine learning, or AI-driven marketing analytics is a plus
• Experience with marketing analytics platforms and has worked/understanding on digital marketing data: Adobe Analytics, Google Analytics, CRM systems (Salesforce, Hubspot etc.), SEO, SEM, SMM, email and marketing automation tool (Eloqua, Marketo etc.)

Competencies