Specialist / Sr. Specialist, Analytics Engineering (Mumbai, MH, IN)
Mumbai, Maharashtra 1 month ago
Job Description
No Relocation Assistance Offered
# 161598 - Mumbai, Maharashtra, India
Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.
We are recognised for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.
If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team!
In today’s multifaceted technology environment, it is an exciting time to be a part of the information technology team at Colgate!.
Our highly technical and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape.
What role will you play as a member of the Colgate’s Information Technology team?
We are seeking a skilled and experienced Analytics engineer to join its growing Global Shared Service organization.Analytics engineers work closely with Business professionals & Data scientists, to collect and organize data, as well as, develop data visualization tools.
The successful candidate will be responsible for creating analytics - focused data structures by orchestrating data pipelines & work with Data Engineers, Data scientists and Business users to design and build visualization that answer critical business questions
Additionally, knowledge of cloud services: GCP, AWS, Snowflake Experience with Visualization tools like Tableau, QlikView , Domo would be highly beneficial. The Analytics Engineer should be experienced in building Data Flow, Data Pipeline and building dashboards workflow management tools: Cloud Composer, Airflow, Luigi,dbt etc
The candidate should be able to play a technical lead role towards the evolution of technology deployments across the global footprint.
You are a function expert -
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
Our Commitment to Sustainability
With the Colgate brand in more homes than any other, we are presented with great opportunities and new challenges as we work to integrate sustainability into all aspects of our business and create positive social impact. We are determined to position ourselves for further growth as we act on our 2025 Sustainability & Social Impact Strategy.
Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please contact Application_Accommodation@colpal.com with the subject "Accommodation Request" should you require accommodation.
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