Mars Jobs (3)

Hr data analyst

Mars Portland, OR
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The HR Data and Insights Analyst supports P&O and its internal partners by extracting meaningful insights from existing and new P&O data to drive an effective people strategy, applying statistical findings to layered P&O, Financial, and Operational data to support effective human capital planning, enhancing strategic usage of metrics.

What are we looking for?

  • Bachelor’s Degree or combination of education and experience required Field of Study : Human Resources, Business Analytics, Finance, or Business Information Systems
  • 5 yrs experience in Human Resources Reporting, HR, Business or Finance Analytics
  • Solid communicator with experience storytelling through data
  • Expert Level Excel
  • Knowledge of best practices and standards for designing data visualizations for business users
  • Comfort with data cleansing, data modeling, and data mining
  • Experience developing metrics, conducting statistical analysis and forecasting

What will be your key responsibilities?

  • Derive functional requirements from high-level business needs, understanding the question / problem and identifying the data needs and sources for various P&O effectiveness projects / processes
  • Apply data analytics and provide valuable quantitative metrics needed to illustrate organizational challenges, measure efficiencies, and return on investment on key P&O initiatives
  • Collaborate effectively and cooperatively with stakeholders, co-workers, vendors, and leadership to create new ideas and Innovations for analytical solutions that solve internal business challenges, ensure data quality, and improve data usage
  • Identify and forecast trends from raw data with clear representation of the storytelling through data and workforce measurements to improve people processes

What can you expect from Mars?

  • Work with over , diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

LI-KS1

LI-Hybrid

Full-time
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Digital Merchandiser

Mars New York, NY
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Digital Merchandiser

Newark, NJ

In collaboration with the Hive, Organic Search Lead, and the Digital Lead, the Digital Merchandiser is responsible for helping with the development and the tactical execution of the perfect page and taking action to win the search algorithm.

These execution plans and strategies must be aligned with business stakeholders and key bricks and clicks retailers, such as Walmart, Target, Kroger, Meijer, as well as pure play retailers like Amazon.

This role is highly collaborative and requires a strong customer focus, a drive for results, and a high degree of autonomy in a constantly changing digital commerce environment.

This role interacts with several key stakeholders across Marketing, Sales, Category, Shopper Insights, Shopper Marketing, and the Digital Team.

What are we looking for?

Minimum Requirements :

Bachelor’s Degree

Reporting and analytics experience

Good communication skills to educate & report across metrics

Advanced with Microsoft Excel and PowerPoint

Experience with SEO

Balanced analytical / conceptual skills to understand and then optimize page performance.

Proven project management skills, attention to detail, and exceptional organizational skills.

Experience with building collaborative relationships with multiple stakeholders

Preferred Requirements :

Experience in managing brand portfolios of products online

Have strong understanding of eCommerce landscape

Ability to benchmark market best practices in search, placement, content & ratings / review.

Understanding or familiarity with Salsify, CXH preferred

Understand core business metrics and how these can be influenced through online merchandising

Customer experience is preferred but not required

What would be your key responsibilities?

Drive Perfect Digital Store (PDS) improvements across retailers’ pages, focused on perfect page (content & ratings and reviews) and perfect position (winning the search algorithm) using tools such as eFundamentals, Nielsen, OneSpace and Power BI.

Develop strategies to win the customer algorithm and create SEO optimized content by coordinating with brands (everyday & seasonal), customer teams and agencies

Responsible for item setup & content management (Salsify, CXH, Label Insights, etc) & content syndication (basic content, above the fold, below the fold, video, etc) across customers.

Partner with Digital Hive & team lead to develop & upload content for new products, seasonal rotations, micro-moments, transitioning items, and discontinued products and ensure products are live and updated on retailers’ websites at the respective launch / discontinuation dates.

Define and implement test & learns across sub-set of online retailers to inform strategies and actions

Bring forward insights for MWC by analyzing competitors’ content, search & merchandising strategy around key criteria : content quality, integrity, ratings, and reviews & search.

Lead special projects like Mobile Images, Content Playbooks, driving digital muscle with brand teams, etc.

What can you expect from Mars?

Work with over , diverse and talented Associates, all guided by The Five Principles.

Join a purpose driven company, where we are striving to build the world we want tomorrow, today.

Best-in-class learning and development support from day one, including access to our in-house Mars University.

An industry competitive salary and benefits package, including company bonus.

LI-WC1

LI-Hybrid

Full-time
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Data scientist

Mars New York, NY
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Through ODDA, we deliver connected insights across the entire demand ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

What are we looking for?

Bachelor’s degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.

Advanced degree will be preferred

Knowledge and experience in modelling techniques and advanced applied skills significance testing, GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka

  • Experience querying databases (SQL, Hive)
  • Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark)
  • Working knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, to deliver output to the broader business community to improve decision making and productivity
  • Strong communication and presentation skills

What will be your key responsibilities?

  • Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services
  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners
  • Advocate and educate on the value of data driven decision making focusing on the how and why of solving problems
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
  • Collaborate, coach, and learn with a growing team of Data Scientists
  • Stay connected with external sources of ideas through conferences and community engagements

What can you expect from Mars?

  • Work with over , like-minded and talented Associates, all guided by The Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

LI-HYBRID

LI-AS3

Full-time
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