Ecommerce Sr Data Analyst

Job Number: 12660
Location(s): Minneapolis, MN

General Mills is reshaping the future of food. We believe food makes us better. It nourishes our bodies, brings us joy and connects us to each other. As one of the world’s leading food companies, General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Betty Crocker, Yoplait, Annie’s Homegrown, Old El Paso, Epic Provisions, Blue Buffalo and more. Are you passionate about the future of food? You’ve come to the right table. We want the very best talent to help lead something big.

Job Details

Overview & Responsibilities

As part of the Global Ecommerce team, you will be working against one of General Mills’ key priorities as you design and build real business solutions to improve the business decision-making of key stakeholders. The purpose of the Global Ecommerce team is to accelerate Ecommerce growth across GMI.

In the Senior Data Analyst – Global Ecommerce Reporting & Analytics role you will sit at the center of key stakeholders and will drive the adoption of reporting and analytics tools to drive GMI’s ecommerce business globally. You will be responsible for building, maintaining, supporting, and driving adoption of the Ecommerce reporting and analytics toolset. As the product owner you will establish the roadmap for development, define required data sets, partner to acquire and validate data sets, and lead the roll-out of products in order to ensure business impact. You will gain exposure, experience and connection with global business team.

We are looking for someone who thrives working in ambiguity, can break down complex problems and solve creatively, and who has the ability to work with both our business teams and tech teams to advance our critical Ecommerce capability.

RESPONSIBILITIES

  • Build roadmap/backlog of analytical tool sets
    • Establish strong relationships with GMI operating Segments, Sales, BX, GBS, and other stakeholders to create and drive Ecommerce reporting and analytics vision.
    • Lead (Product Owner) standardized Ecommerce Reporting at scale across all key user groups (Segment teams, Sales, OUs, BX).
      • Ensure alignment and appropriate integration with other reporting and analytics efforts.
      • Maintain, scale, and extend key reports and data visualization over time to advance business goals.
      • Collaborate cross-functionally to define requirements and build user stories.
      • Partner with Segment Teams, Sales, BX, OUs to define reporting needs.
      • Understand current uses and future needs of key stakeholder groups.
      • Navigate tradeoffs as part of sprint process, translate business needs into project deliverables, provide business context and understanding of tradeoffs to GBS (IT) to maximize value creation and ecosystem development.
  • Champion the adoption of tools in our business teams
    • Influence, educate, and train partner teams (Segment Teams, Sales, Brand Experience, Operating Units, Global Business Solutions) to adopt new tools; understand needs and develop solutions that overcome barriers to usage
  • Strategic Data Analysis
    • Connect into extended global data teams to validate findings and insights gained from data analysis.
    • Work with customer teams and other stakeholders to identify and vet sources of data.
    • Manage existing and ingest new data sets.
    • Partner with vendors on data and analytical approaches to enabled reporting and analytical needs, as well as understand best practices.
    • Prepare and/or consult on preparation of data for usage – link and align data to hierarchies and other data sets to enable scaled use as part of Global Ecommerce data environment as well as partner environments.
Qualifications
  • Bachelor’s Degree in Business, Quantitative or related field
  • At least 3 years of relevenant experience
  • Comfort pulling, using, and analyzing multiple data sources: e.g. Syndicated data (Nielsen / IRI / Spins), panel data, shopper card data, electronic POS data, and related data sets
  • Comfort with quantitative problem-solving including experience/knowledge in business performance reporting, statistical measurement, forecasting, clustering, regression, time series, analytical understanding of statistical and predictive modeling methods
  • Communication skills — ability to teach and clearly communicate with wide range of audiences
  • Learning agility – ability to work in ambiguity to progressively build enabling analytical tools
  • Ability to mix analytical insights with business knowledge to build solutions that measurably impact real business results
  • Experience with analytical tools and databases from basic (Excel) to advanced (SQL, Access, Oracle, SAS, and similar)
  • Experience with data manipulation and visualization packages (i.e. Tableau)

#cb

Overview & Responsibilities

As part of the Global Ecommerce team, you will be working against one of General Mills’ key priorities as you design and build real business solutions to improve the business decision-making of key stakeholders. The purpose of the Global Ecommerce team is to accelerate Ecommerce growth across GMI.

In the Senior Data Analyst – Global Ecommerce Reporting & Analytics role you will sit at the center of key stakeholders and will drive the adoption of reporting and analytics tools to drive GMI’s ecommerce business globally. You will be responsible for building, maintaining, supporting, and driving adoption of the Ecommerce reporting and analytics toolset. As the product owner you will establish the roadmap for development, define required data sets, partner to acquire and validate data sets, and lead the roll-out of products in order to ensure business impact. You will gain exposure, experience and connection with global business team.

We are looking for someone who thrives working in ambiguity, can break down complex problems and solve creatively, and who has the ability to work with both our business teams and tech teams to advance our critical Ecommerce capability.

RESPONSIBILITIES

  • Build roadmap/backlog of analytical tool sets
    • Establish strong relationships with GMI operating Segments, Sales, BX, GBS, and other stakeholders to create and drive Ecommerce reporting and analytics vision.
    • Lead (Product Owner) standardized Ecommerce Reporting at scale across all key user groups (Segment teams, Sales, OUs, BX).
      • Ensure alignment and appropriate integration with other reporting and analytics efforts.
      • Maintain, scale, and extend key reports and data visualization over time to advance business goals.
      • Collaborate cross-functionally to define requirements and build user stories.
      • Partner with Segment Teams, Sales, BX, OUs to define reporting needs.
      • Understand current uses and future needs of key stakeholder groups.
      • Navigate tradeoffs as part of sprint process, translate business needs into project deliverables, provide business context and understanding of tradeoffs to GBS (IT) to maximize value creation and ecosystem development.
  • Champion the adoption of tools in our business teams
    • Influence, educate, and train partner teams (Segment Teams, Sales, Brand Experience, Operating Units, Global Business Solutions) to adopt new tools; understand needs and develop solutions that overcome barriers to usage
  • Strategic Data Analysis
    • Connect into extended global data teams to validate findings and insights gained from data analysis.
    • Work with customer teams and other stakeholders to identify and vet sources of data.
    • Manage existing and ingest new data sets.
    • Partner with vendors on data and analytical approaches to enabled reporting and analytical needs, as well as understand best practices.
    • Prepare and/or consult on preparation of data for usage – link and align data to hierarchies and other data sets to enable scaled use as part of Global Ecommerce data environment as well as partner environments.

Qualifications

  • Bachelor’s Degree in Business, Quantitative or related field
  • At least 3 years of relevenant experience
  • Comfort pulling, using, and analyzing multiple data sources: e.g. Syndicated data (Nielsen / IRI / Spins), panel data, shopper card data, electronic POS data, and related data sets
  • Comfort with quantitative problem-solving including experience/knowledge in business performance reporting, statistical measurement, forecasting, clustering, regression, time series, analytical understanding of statistical and predictive modeling methods
  • Communication skills — ability to teach and clearly communicate with wide range of audiences
  • Learning agility – ability to work in ambiguity to progressively build enabling analytical tools
  • Ability to mix analytical insights with business knowledge to build solutions that measurably impact real business results
  • Experience with analytical tools and databases from basic (Excel) to advanced (SQL, Access, Oracle, SAS, and similar)
  • Experience with data manipulation and visualization packages (i.e. Tableau)

#cb

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