PepsiCo

Data Gov. & Stewardship Asst Analyst

PepsiCo Gandipet mandal, Telangana, India

Food and Beverage Services · 10,001+ employees

13 h ago Closes today
Junior (0-2 yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The role involves managing the lifecycle of data-driven products and ensuring data quality, security, and compliance with organizational standards. You will assist in data collection, preparation, and testing to support business decision-making and operational efficiency.

What they look for

Data Analysis Python R Tableau Power BI SQL Data Governance Data Management ETL Data Visualization Analytical Thinking Strategic Thinking Leadership Collaboration Data Analytics Methodical

Requirements

Candidates should possess strong analytical skills and proficiency in programming languages such as Python, R, and SQL. Experience with data visualization tools like Tableau or Power BI and a methodical approach to data management are essential for this position.

Full description

Overview

Responsible for defining and managing the lifecycle of data-driven products, ensuring alignment with business objectives and data strategies. Works closely with data scientists, software engineers, digital product managers and analysts to design and deliver data products that enable decision-making, enhance operational efficiency, and create value for the business. Oversees the collection, storage, processing, and governance of data, ensuring data quality, security, and compliance with relevant standards. Develops and executes a data product roadmap for data features, drives the integration of analytics into digital products, and leverages insights to inform business strategies. Examples include data pipelines for reporting, predictive models, and insights dashboards.

Overview

Performs tasks and contributes to processes/project components for the Data Product Management area under moderate supervision, ensuring work is aligned to organizational standards, escalating problems and roadblocks as they occur. Responsible for defining and managing the lifecycle of data-driven products, ensuring alignment with business objectives and data strategies.

Responsibilities

  • This job works under moderate supervision to accomplish key tasks for the Data Product Management area, following best practices and techniques in order to meet organizational standards of excellence.
  • Organizes data entry and validation tasks to ensure that data is accurately captured and maintained within data products, contributing to overall data quality and reliability.
  • Provides support in the development of data products by assisting in the collection and preparation of data, ensuring it is ready for analysis and reporting.
  • Applies established data governance practices to ensure compliance with relevant standards and regulations, helping to maintain the integrity and security of data.
  • Keeps accurate records of data processing activities and results, documenting any issues encountered and resolutions applied to support ongoing data management efforts.
  • Assists in the testing of data products by conducting quality assurance checks and reporting findings to ensure that products meet established standards before launch.
  • Applies deep understanding of area processes to employ area best practices and methods that align with the overall functional and business strategy, supporting team members on solutions, execution and delivery.

Qualifications

  • Data Analysis – Data Analysis is a process of analysing, transforming and modeling data with the goal of discovering information, inferences and decision-making.
  • Python (Programming Language) – Python (Programming Language) is a programming language utilized in web development, data analysis, artificial intelligence, machine learning, and scripting.
  • R (Programming Language) – R (Programming Language) is a programming language software environment for statistical computation and graphics used for creating statistical applications and analyze data.
  • Tableau – Tableau is a data visualization tool which helps change or transform raw data sets into visual dashboards to derive insights from large data sets.
  • Methodical – Methodical is defined as the ability to work in a systematic manner or based upon established plan or procedure that has been tried and tested.
  • Managerial Aptitude – Managerial aptitude refers to the ability to organise, oversee and manage a particular team of employees, project or sector within an organization.
  • Strategic Thinking – Strategic thinking is the ability to see beyond short-term needs and is concerned with establishing the long-term direction of a business for gaining an edge in business.
  • Leadership – Leadership is the ability to lead initiatives, motivate teams and be driven to continuously work towards a common organizational goal.
  • Data Analytics – Data Analytics is the science of studying raw data and the act of evaluating data collections to identify trends and develop conclusions about the information for insights and patterns.
  • Power BI – Power BI is a data visualisation and business intelligence application that transforms data from various data sources into interactive dashboards and reports.
  • Improvisation – Improvisation refers to the process of planning and executing impromptu solutions that improves the capabilities of the end result.
  • Collaboration – Collaboration is the process of two or more individuals, teams, entities, or organizations working together to accomplish a task or achieve a common goal.
  • Data Visualization – Data Visualization is an interdisciplinary discipline concerned with the representation of data graphically.
  • Extract Transform Load (ETL) – Extract, Transform, Load (ETL) which is the general method of copying data from one or more sources into a destination system that represents the data differently than the source(s) or in a different sense than the source in computing
  • Initiation – Initiation is defined as the ability to autonomously or voluntarily taking action without being prompted or delegated.
  • Professional Ethics – Professional ethics is a set of standards, principles and values that govern the do's and don'ts of an individual's behaviour in a corporate or business environment.
  • Data Management – Data Management is the process of absorbing, storing, organising, and keeping an organization's data generated and gathered, as well as the practise of collecting and managing data as a valuable resource to unleash its potential for an organisation.
  • Analytical Thinking – Analytical thinking is the ability to study a problem and dissect it logically to find a practical solution to the problem.
  • Structured Query Language (SQL) – Structured Query Language (SQL) which is a programming language that is used to communicate with and manipulate databases.
  • Organizing – Organizing is the ability to make arrangements systematically, coordinate activities efficiently or the process of dividing work into sections and departments.

Legal Disclaimer

This job description describes the general responsibilities of the role; Individual responsibilities are subject to change based on business need and manager discretion.