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Colgate Palmolive

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4.1

based on 817 Reviews

53 Colgate Palmolive Jobs

Specialist / Sr. Specialist, Analytics Engineering

Colgate-Palmolive (India)

4.1

based on 817 Reviews

3-8 years

Mumbai

1 vacancy

Specialist / Sr. Specialist, Analytics Engineering

Colgate Palmolive

posted 10hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analytics Python SQL Information Technology Nutrition

+ 4 more

Job Description

Provide clean transformed data ready for analysis
Build and maintain optimal data pipeline architecture
Apply software engineering standard methodologies to analytics ( Ex: Version control , testing , continuous integration)

You connect the dots -

in developing sophisticated security use cases, will bridge the gap between security requirements and technical implementation.
You will connect the dots by aligning Splunk configurations with overarching security objectives, ensuring that our log sources are effectively onboarded and monitored for potential threats.

You are a collaborator -

Your expertise and insights as an Analytical Engineer will be instrumental in Collaborating with business to understand data requirements & support in building dashboards to enable data driven decision making
You will work closely with Data Engineers , Data scientist & Business to strive for greater functionality & define business goals and parameters to measure analytics outcome

You are an innovator -

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

What you ll need (Required)

Bachelor s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus
Minimum 3+ years of experience in a Analytical Engineer role
Working 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
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of harmonizing, processing and extracting value from large disconnected datasets
Experience supporting and working with multi-functional teams in a dynamic environment
Experience with object-oriented/object function scripting languages: Python, Java, etc.
Experience with cloud services: GCP, AWS, Snowflake Experience with Visualization tools like Tableau, QlikView , Domo
Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi,dbt etc
Ability to resolve issues independently.
Excellent communication and collaboration skills.

What you ll need (Preferred):

Experience with relational SQL and NoSQL databases: MongoDB, PostgreSQL, etc
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience building and optimizing big data data pipelines, architectures and data sets

Employment Type: Full Time, Permanent

Read full job description

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