Business Partner - Analytics

Location

Secunderabad | India

Job description

The Data Analyst in the Activation team plays a critical role in shaping customer experiences and driving business growth through data-driven strategies. The position requires a blend of technical expertise, analytical thinking, and effective communication skills to achieve success in optimizing customer activation efforts. Working closely with cross-functional teams, utilizing data-driven insights to drive growth and improve customer interactions.

Key Responsibilities:

Data Collection and Management:

• Collect and aggregate data from various sources, including CRM systems, marketing platforms, and external sources.
• Ensure data accuracy, cleanliness, and consistency through data cleansing and validation processes.

Data Analysis:

• Analyse customer behaviour, conversion funnels, and engagement metrics to identify opportunities for improvement.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Insights and Reporting:
• Provide actionable insights to the Activation team and other stakeholders to drive decision-making.
• Create regular reports and ad-hoc analyses to communicate findings and recommendations effectively.

Segmentation and Targeting:

• Utilize data segmentation techniques to identify target customer segments for personalized activation campaigns.
• Collaborate with the Marketing team to optimize messaging and content for different customer groups.

Predictive Modeling:

• Build predictive models to forecast customer acquisition, churn, and engagement trends.
• Use machine learning algorithms to identify patterns and opportunities for proactive intervention.

Qualifications:

Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics orBusiness.

Proven experience in data analysis, preferably in a marketing or customer activation context.

Proficiency in data manipulation and analysis tools such as SQL, Python, Tableau or Power BI.

Strong problem-solving skills and the ability to turn data into actionable insights.

Excellent communication skills to convey findings to both technical and non-technical stakeholders.

Knowledge of machine learning and predictive modeling is a plus.

Familiarity with CRM systems, marketing automation platforms, and data warehousing is beneficial.

Job tags

Salary