Lead Software Engineer

2 months ago


Bangalore, India Prathigna.com Hr Solutions Pvt. Ltd. Full time

Lead Software Engineer (Drive)


As the lead segment cdp, you will be responsible for overseeing and managing our segment customer data platform (cdp) to drive data-driven decision-making and optimize customer segmentation strategies.

You will collaborate with cross-functional teams to develop and implement data analytics solutions that enhance customer experiences and drive business growth.

Additionally, you will play a pivotal role in leveraging data analytics, javascript, sql, and api integrations to extract insights, automate processes, and optimize campaign targeting.

Responsibilities:


- Lead the development and implementation of segmentation strategies using the segment customer data platform (cdp).

- Collaborate with cross-functional teams to gather requirements and define data analytics solutions to address business needs.

- Design and implement data models, workflows, and automation processes within the segment cdp.

- Utilize javascript, sql, and api integrations to extract, transform, and load (etl) data from various sources into the segment cdp.

- Develop and maintain custom tracking plans, events, and properties within the segment cdp to capture relevant customer data.

- Analyze data to uncover insights, trends, and opportunities for optimization.

- Create and maintain dashboards, reports, and visualizations to track key performance indicators (kpis) and measure the effectiveness of segmentation strategies.

- Stay updated on industry trends and best practices in data analytics, customer segmentation, and cdp technologies.

- Provide leadership, guidance, and mentorship to junior team members.

Requirements:


- Proven experience working with segment customer data platform (cdp) or similar customer data management platforms.

- Strong proficiency in data analytics, javascript, sql, and api integrations.

- Experience designing and implementing segmentation strategies to drive business outcomes.

- Solid understanding of data modeling, etl processes, and data warehousing concepts.

- Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights.

- Strong communication and collaboration skills with the ability to work effectively across cross-functional teams.

- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

(ref:hirist.tech)

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