Role Summary

• We are seeking an experienced and skilled Senior Data Analyst to support critical analytics projects, with a focus on customer behavior, segmentation, and actionable insights. This role will involve working collaboratively with cross-functional teams to enhance data-driven decision-making processes.

Role Responsibilities

• Drive analytics projects related to customer segmentation, campaign performance, and email marketing effectiveness.

• Develop automated performance reports and dashboards in tools like Tableau, PowerBI, Sigma.

• Build and maintain monthly reports on customer health metrics, email file health, consent hygiene, and acquisition trends.

• Conduct segmentation analyses to identify high-priority customer cohorts for targeted engagement.

• Provide actionable insights to optimize CRM and email marketing strategies.

• Collaborate with marketing teams to develop data-driven use cases for personalized customer engagement.

• Maintain and ensure the accuracy and quality of all data insights and deliverables.

• Proven ability to generate actionable insights and drive business outcomes through data analysis.

• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their impact on customer data practices.

• Strong verbal and written communication skills, with the ability to present technical findings to non-technical stakeholders.

Manager responsibilities:

• Day to day employee Management managing teams time, queries, administrative etc.

• Identification and promotion of high potentials and talent

• Regular management of direct reports - 1:1s, appraisals, learning/coaching plans defined

• Leadership to the team

Competencies

• Data-Driven Mindset: A strategic approach to leveraging data for decision-making.

• Collaboration: Ability to work closely with diverse teams, including marketing and product.

• Adaptability: Flexibility to thrive in a dynamic, fast-paced environment with evolving technologies and priorities.

Technical Expertise:

• Advanced proficiency in SQL for data manipulation.

• Experience with visualization and popular cloud based data warehouse platforms such as (Snowflake, Databricks, Amazon Redshift)for report and dashboard development (or willingness to ramp up).

• Familiarity with statistical modeling techniques such as regression analysis and predictive modeling.

• Bonus: Proficiency in R or Python and familiarity with CRM platforms and customer data platforms (CDPs).

Required Qualifications

• Bachelors degree in Marketing, Data Science, Mathematics, Statistics, or a related field.

Years of Experience

• 6+ years in data analytics or a related field, with proven experience analyzing customer behavior and segmentation.