1+ months

PFNA Data Analyst

Plano, TX 75074
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Auto req ID: 218602BR

Job Description

This role is with the PFNA Data & Digital Solutions team within PFNA IT.

PFNA Data Analyst

In this role, you will play a key role in advancing PFNA data solutions & capabilities. You will execute data-related initiatives in one or more functional domains (finance, sales, marketing, supply chain) that take raw data and transform it into actionable insights.

You will be a hands-on player that moves data from raw source systems to our PFNA integrated data fabric, and then makes it accessible for business users to explore. You will be responsible for building data systems and pipelines to feed into prescriptive and predictive modeling initiatives by establishing and enhancing processes around data capture, storage, accessibility, transformation and reliability.

You will work with PFNA IT and business professionals across multiple functions to drive and support the PFNA transformation to an insights-driven culture. You will identify opportunities for more streamlined and automated approaches to solve business problems with data/digital solutions and advocate for their adoption.

You will help manage and mentor other PFNA IT associates working in the data & digital space in support of the above goals.




  • BE/B TECH/ MS in computer science or related technical field
  • 3 years of experience in the field of data structures, building and managing data lakes
  • Past experience in data engineering teams in consulting or other industries. CPG industry experience a plus.
  • Experience in relational databases as well as unstructured data streams
  • 3+ years of Python or Java development experience,
  • Hands-on experience in SQL database design
  • Experience with multiple data technologies and concepts such as Hive, Spark, SQL, Kafka, Sqoop, Infoworks, along with traditional relational database technologies such as Teradata, Oracle, SQL Server, etc
  • Experience with data lake ETL & query technologies such as Denodo, Presto, Databricks
  • 3+ years of experience with schema design and dimensional data modeling
  • Experience designing, building and maintaining data processing systems
  • Knowledge of predictive modeling, machine-learning tools and techniques
  • Data engineering certification (e.g IBM Certified Data Engineer) is a plus
  • Proven self-starter who can move projects forward by filling in the gaps on Agile teams, from leading a design session to doing some test automation, to mentoring a teammate struggling with a new technology
  • Experience in dealing with big as well as thick data(syndicated data like Nielsen and survey based)
  • Expert in new age data platforms, understanding of relational as well as unstructured data, experience in data lake architecture and creation
  • Proactively identify and manage escalation of potential issues, offering ideas for solutions.
  • Experience with specific AWS technologies (such as Glue, S3, Redshift, EMR, and Kinesis) a plus
  • Hands on with Machine learning concepts & skills Regularization, Gradient-based optimization Hyper-parameter tuning, models like Random Forest
  • Familiarity with Scala, Java or C++ is an asset
  • Experience with data in sales, finance or supply chain a plus

Relocation Eligible: Not Eligible for Relocation
Job Type: Regular

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy

Please view our Pay Transparency Statement","street_address":"United States - TX - Plano - 5600 Headquarters Dr - 75024-5838","city":"Plano","state":"Texas
Posted: 2020-10-15 Expires: 2020-12-20

Performance with Purpose

Out performing ourselves is a rush. That's why we perform with purpose. Together, we blaze new trails, succeed, celebrate and then do something even bigger. We never settle for second best. At PepsiCo we're not just committed to performing well as individuals, but as a team, to strengthen the company as a whole.

Around the world, we're working hard to give people the tastes they crave and the nutrition they need. We dream globally and act locally, constantly innovating to sustain our planet, our people, our communities and our business practices. New markets mean new ways of doing business, and new ways of addressing health concerns, cultural differences and environmental challenges. Every day is an adventure, and an opportunity for personal and professional growth.

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PFNA Data Analyst

PepsiCo Inc.
Plano, TX 75074

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