Data & Analytics Associate - Insight, Engineering and Development

Job description

5 Openings

Background & Purpose of the Job  

 

The North America Data Engineer Associate – will work with peer data engineers to develop data solutions to support product analytics managers and data scientists. This role will be partnering with internal data scientists, product managers and external stakeholders across the business to deliver advanced analytics. The ideal candidate is an experienced data engineer with vast hands-on experience and leadership experience in leading projects and teams from the ground up.  

 

Who You Are & What You’ll Do  

Facilitate team’s delivery of scalable, maintainable, performant data engineering solutions. Work through your teams to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk. Drive the design and implementation of new data projects and the optimization of existing solutions. Collaborate across teams - business partners, product, engineering, architecture, platforms - to facilitate solution delivery. Work with architecture and engineers to ensure quality solutions are implemented, and engineering best practices are defined and followed. Drive collaborative reviews of designs, code, and test plans. Define the team’s technical roadmap and influence its adoption. Anticipate, identify and solve issues concerning data management to improve data quality. Work across teams to resolve operational & performance issues. Identify and remove technical bottlenecks for your engineering teams. Manage, mentor, and inspire the team; manage performance, goals and development potential. Provide guidance to team members on work items or technical scenarios 

You’re a dot connector and storyteller: You like to unravel complex data, - building analytical tools that utilize the data pipeline to provide actionable insights, operational efficiency, and other key metrics. 

You’re a changemaker: You are a self-starter you can work independently to identify, design and implement internal process improvement; driving change with new innovative solutions, optimizing data delivery, re-designing for greater scalability. 

You’re a paradox navigator: Enable data driven decision-making across customer development, supply chain, consumer marketing insights, and disrupting data silos. 

You’re a culture & change champion: Be an advocate and set an example of digital cultural. 

  You love to win, and have fun doing it: Transform the way Unilever operates with a proactive, informed risk-taking, winning attitude! 

Who You will Work with:  

In this role you’ll be working closely with passionate and driven Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various functional groups across the enterprise. You will be in contact with a wide range of great people. In all interactions, you will find success in teamwork, a positive attitude, and hard work. 

What You Need to Succeed

· 
Bachelor’s Degree in Computer Science, Information Systems, Business or related field or equivalent combination of education and experience 

· 
3+ years proven experience in large-scale software development 

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3+ years of data engineering experience 

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Consistent track record of delivering on commitments 

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Ability to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk 

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Awareness of associated KPIs and general metrics of customer success criteria. 

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Experience working with data sources such as Retailer POS systems, IRI, Nielsen, Panel data such as Numerator and Nielsen/IRI Panel. 

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Retail data experience – working with Walmart, Target, Amazon, Dollar General, Kroger..etc 

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Experience building positive relationships across teams and roles: business partners, product, engineering, architecture, and platforms 

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Ability to lead, influence and communicate effectively, both verbally and written, across teams and roles 

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Solid foundation in data structures, algorithms, and architecture patterns 

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Experience building distributed / cloud scalable, high-performance data solutions 

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Experience with batch processing frameworks such as Spark and Hive 

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Experience with messaging/streaming/complex event processing tooling and frameworks with an emphasis on Spark Streaming or Structured Streaming or Apache Nifi 

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Experience with data warehousing related concepts - e.g. SQL and SQL Analytical functions 

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Ability to learn new technologies, adapt quickly, and lead a team of highly capable engineers in solving complex problems 

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Experience participating in key business, architectural and technical decisions 

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Ability to identify and resolve both people and process related issues 

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Experience in Agile/Scrum application development 

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Familiarity with the principles of Domain Driven Design 

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Comfortability with a fast-paced, results oriented environment 

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Practical approach to solving sophisticated problems with ambiguous requirements 
  

The following skills and experience are also relevant to our overall environment, and nice to have:  

· 
Experience programming in Python & SQL 

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Experience working in a public cloud environment, particularly Microsoft Azure 

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Experience building RESTful API’s to enable data consumption 

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Experience in developing Power BI dashboards using DAX, Power Automate flows, Web Applications 

· 
Experience with practices like Continuous Development, Continuous Integration and Automated Testing

Pay : The pay range for this position is $83,200 to $124,700. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

Bonus : This position is bonus eligible.

Long-Term Incentive (LTI) : This position is LTI eligible.

Benefits : Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

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Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.

 

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com . Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.