Vacancy for Computer Science Graduates at Colgate

Overview:

Colgate is hiring an experienced Analytics Engineer / Data Engineer at their Mumbai location. The role would focus on expanding and optimizing our data, data pipeline architecture, data flow and collection for multiple Advanced Analytics projects across Revenue Growth Management, Market Effectiveness, Forecasting and so on.

The complete details of this job are as follows:

What will you be doing:

Explores novel data sources

Provides clean, transformed data ready for analysis

Applies  software engineering best practices to analytics code (version control, testing, continuous integration,…)

Maintains data documentation & definitions

Supports Data Scientist and Data Analyst by applying transformations for ML models on datasets

Partners with Data Engineers to implement establish the right data and systems for Commercial Analytics

Assist with data-related technical issues and support their data infrastructure needs

You will work on data initiatives and ensure efficient data delivery architecture is consistent throughout ongoing projects.

Work with data and analytics to strive for greater functionality in our data systems

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Build and maintain efficient data pipeline architecture in cloud environment

Define data architecture and pipelines for insights and KPI

Perform root cause analysis

Assist with organizational change needs (e.g., training, communications, etc.) as part of roll-out and ongoing support of market data reporting tools and processes.

Collaborate with Data Scientists and Analytics Leads

Ready to work closely with business partners across geographies

Work with data and analytics to strive for greater functionality in our data systems

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Build and maintain efficient data pipeline architecture in cloud environment.

Qualifications for this Job:

Bachelor’s degree, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus

At least 2 years of professional experience working in Information Technology or Digital Marketing

Basic proficiency of data visualization techniques & tools – Experience with dashboarding tools (Google Data Studio, Tableau, DOMO, Sigma etc.) and programming languages (Python, Java, R etc.) desired

Intermediate knowledge of Excel / Google Sheet (i.e., standard functions – aggregation, pivots, look ups, etc.)

SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement

High level of comfort with large sets of internal and external data and attend to detail s and penchant for accuracy

Experience supporting and working with multi-functional teams in a dynamic environment

Ability to prioritize multiple work assignments and meet timelines

Strong oral & written communication skills

What Skills will you Need:

Experience with third-party data i.e., syndicated market data, Point of Sales, etc.

Solid grasp of consumer packaged goods industry

Willingness and ability to experiment with new tools and techniques

Good facilitation and project management skills

Ability to maintain personal composure and thoughtfully handle difficult situations.

Experience with Data Flow, Data Pipeline and workflow management tools in cloud environments (GCP, AWS etc.

To apply for this job, visit official website

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