Senior Data Analyst

Primary Responsibilities:

• Strategic Assessment: Conduct data assessments to gauge client’s data and marketing maturity, define data goals and objectives, and clarify project scopes with client stakeholders.
• Client Engagement: Establish and align procedures and timelines for data operations and KPIs with clients. Build and stabilize data processes and workflows.
• Cross Functional Collaboration: Engage with MarOps to understand data sources and create workflows to create a seamless environment between all MarTech platforms.
• Priority Coordination: Coordinate priorities with client stakeholders, identifying dependencies or risks proactively.
• Strategy Development: Providing strategic recommendations based on data analysis to improve ROI, customer acquisition, retention, and overall marketing effectiveness.
• Data Analysis: Conducting in depth analysis of marketing campaigns, customer behavior, and market trends using statistical techniques and tools.
• Reporting and Visualization: Creating comprehensive reports and visualizations that effectively communicate insights to stakeholders, including marketing teams, executives, and clients.
• Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.
• People Management: Serve as a senior buddy to data analysts and associates, offering guidance and support to foster their professional development.

Required Qualifications:

• Working Experience: 5+ years of experience in Marketing or 2+ years of working in an analytical role.
• Analytical Skills: Ability to analyze, interpret, and manipulate data to derive meaningful insights.
• Marketing Proficiency: Knowledge of marketing metrics, customer segmentation and marketing campaigns.
• Technical Proficiency: Ability to work with databases, data visualization tools (e.g., Tableau, Power BI), and CRM systems (e.g., Salesforce) to extract and manipulate data effectively.
• Communication Skills: Strong ability to communicate complex data findings and recommendations clearly to stakeholders.
• Leadership and Mentorship: Experience in guiding and mentoring junior analysts, fostering a collaborative and supportive team environment.
• Business Acumen: Understanding of industry trends, competitive landscape, and customer behavior to inform data analysis and strategy development.
• Attention to Detail: High level of accuracy and thoroughness in data handling and analysis.
• Demonstrated ability to thrive in ambiguous environments.
• Ability to onboard and train new analysts effectively.
• Bachelor's Degree in Business Analytics, Mathematics, Statistics, Actuarial Science, Marketing or a related field.