Senior Data Analyst at Newell Brands Canada

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Integrity, Data Quality Audits, Master Data Management, Taxonomy, Hierarchy Management, Data Lake Architecture, Data Modeling, SQL, Power BI, Root-Cause Analysis, Project Management, Communication, Collaboration, Data Curation, Data Versioning

Industry

Manufacturing

Description

Job ID: 13183 Alternate Locations: Chennai Newell Brands is a leading $8.3B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 25,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership. Reynolds is a subsidiary of Newell Brands, one of the most transformative consumer product companies in the world. For over 100 years, the company has grown through brands they are privileged to bring to consumers worldwide. With products in nearly 200 countries, over 100+ brands and 31,000+ happy employees worldwide, Newell is committed to enhancing the lives of customers with innovative products that create moments of joy. Named after Milton Reynolds (1892-1976), entrepreneur and manufacturer of the first ball point pen, the first Reynolds pen debuted in New York at the 32nd Street store on the morning of October 29, 1945. The day the pen went on sale, an estimated 5,000 shoppers stormed the shop, and approximately 50 NYPD officers had to be dispatched for crowd control. Beginning with the debut in 1945 of its iconic 045 writing pen, Reynolds has continued to provide high-quality writing instruments to consumers globally. Today, Reynolds is one of the most well-known brands in the Indian market with fabulous top-of-mind awareness and carries various much-in-demand products that include Trimax, Racer Gel, Jetter Classic, Brite and Champ. Reynolds Pens are now the favorite pens among millions in India and around the world. The Sr Data Analyst - Market Data is responsible for operationalizing data governance and ensuring the accuracy, integrity, and consistency of a critical enterprise market intelligence dataset that is used extensively by commercial teams and regularly presented to executive leadership and the Board. Acting as the Data Custodian for this domain, this role implements and sustains data standards, performs ongoing quality audits, and partners with Data Owners and Data Stewards to maintain a trusted, decision-grade data asset. Key Responsibilities Data Quality & Governance Execution Implement and enforce data governance policies, standards, and business rules as defined by the Data Owner and Data Stewards to ensure data integrity over time. Perform routine and ad-hoc audits of new and existing items to validate accurate hierarchy, taxonomy, and attribute classification, resolving issues before they impact downstream reporting or executive consumption. Actively work on improving data quality metrics, partnering with Data Owners and Data Stewards to track recurring issues and reduce rework through sustained controls. Master Data & Taxonomy Operations Authorize and maintain master data attributes within the domain, ensuring consistent application of approved taxonomies and hierarchies across reporting views. Execute defined data entry and update processes in compliance with established standards, ensuring changes are timely, documented, and auditable. Data Lake Architecture & Design Partner with cross-functional teams define and operationalize the target-state architecture for a syndicated POS data lake, including ingestion standards, data modeling strategy, and layered curation design. Define and monitor ingestion controls, validation rules, and restatement processes to ensure raw syndicated feeds are accurately landed, versioned, and traceable within the data lake. Establish lifecycle governance including data versioning, retention, archival, and deprecation standards to ensure scalability and long-term maintainability of the lake. Cross-Functional Partnership & Issue Resolution Support root-cause analysis of data quality issues by working with Data Stewards, upstream data producers, and external partners to prevent recurrence. Serve as a single operational point of accountability for data integrity questions related to this dataset, improving responsiveness and confidence among stakeholders. Analytics Enablement Enable the Analytics team to operate primarily as data consumers and insight generators, reducing the need for analyst-led data cleanup and validation and accelerating insight delivery. Qualifications Bachelor’s degree in Math, Statistics, Marketing, Business, or a related field preferred. 2-5 years of experience in CPG is a plus. Advanced proficiency in Power BI and SQL required Experience working within Azure-based data lake or lakehouse environments (e.g., Databricks) preferred Excellent organizational and project management skills with attention to detail and follow-through. Strong communication, collaboration, and relationship-building skills. Ability to multitask, prioritize, and work effectively in a fast-paced environment. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments.

Responsibilities

The Senior Data Analyst is responsible for operationalizing data governance, ensuring the accuracy and integrity of enterprise market intelligence data used by commercial teams and executive leadership. This involves implementing data standards, performing quality audits, and managing master data attributes within the domain.