Product Analyst

Posted 15 Hours Ago
Be an Early Applicant
Ahmedabad, Gujarat
Senior level
Software • Consulting
The Role
As a Product Analyst, you will conduct segmentation analysis, perform data audits, create reports using clickstream data, and develop Tableau dashboards. You will collaborate with teams to identify areas for improvement and monitor KPIs. You’ll work closely with data engineers to ensure data quality and stay current with industry trends.
Summary Generated by Built In


Job Title: Product Analyst

Important Information
Location: India
Experience: 5+ years
Job Mode: Full-time
Work Mode: Work from home, On-site, or Hybrid


Responsibilities:

  • Conduct segmentation analysis to enhance website personalization by identifying key segments within customer data.
  • Perform internal data audits to ensure data accuracy and completeness.
  • Create custom reports using clickstream data to provide actionable insights to stakeholders.
  • Develop and maintain Tableau dashboards to visualize data trends and patterns.
  • Collaborate with cross-functional teams to identify areas for improvement and make data-driven recommendations.
  • Monitor key performance indicators (KPIs) to identify trends and opportunities for growth.
  • Work closely with data engineers to ensure data quality and consistency across platforms.
  • Stay up-to-date with the latest industry trends and best practices in segmentation analysis and clickstream auditing.

Qualifications and Skills:

  • Bachelor's degree in a relevant field such as computer science, mathematics, statistics, or data science.
  • 5+ years of experience in a similar role.
  • Strong analytical skills and meticulous attention to detail.
  • Proficiency in SQL and Python.
  • Experience with segmentation analysis and clickstream auditing.
  • Ability to create custom reports using internal data.
  • Familiarity with Tableau or other data visualization tools.

Technical Skills (Preferred):

  • Experience with data modeling and data warehousing concepts.
  • Knowledge of machine learning techniques for data analysis.
  • Familiarity with data governance and data quality best practices.
  • Understanding of web analytics tools and methodologies.


About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Top Skills

Python
SQL
The Company
Chennai
7,456 Employees
Hybrid Workplace
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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