Once Upon A Farm

Senior Business Intelligence Analyst

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Business Intelligence, AnalyticsIndustries

Who You Are

You are an analytical thinker with a knack for visualizing and finding patterns in data. You enjoy building and creating interactive data products and reporting solutions. You are experienced in wrangling disparate data sources to paint a complete picture of enterprise activity. You know how to make predictions and forecast the future using historical data. You’re capable of making critical business observations using data, and you are eager to present your findings to help executive audiences make great business decisions.

The Task At Hand

You will be joining our small but growing Business Intelligence & Analytics team with a focus on generating insights and predictions from data, as well as developing user-facing front-end reporting solutions. Our team is responsible for the full data & analytics stack, including data ingestion, data transformation, semantic modeling, statistical & predictive modeling, reporting, and analytics. Your focus will be on creating interactive reporting and dashboard solutions for specific business audiences, as well as providing analytics to executive audiences by request. Our team is very cross-functional, and you may have the opportunity to assist with various data engineering, SQL development, data governance, and semantic modeling activities. Your primary focus will be on developing departmental and enterprise reporting solutions and providing predictive & prescriptive analytics for business leaders.

In This Role, You Will

  • Build advanced interactive reporting and dashboard solutions using your deep expertise in Power BI & Excel. Data visualization, DAX measure & KPI development, calculation groups, parameters, dynamic content: cross filtering, drill through, slicers, filters, bookmark & button navigation
  • Produce analytical reports and slide decks, utilizing narrative storytelling with data visualizations and layering in business context to assist with decision making
  • Build predictive data models and forecasts using SQL, Python, Fabric Notebooks, Power BI, Excel, and/or any other languages or tools of your choice (subject to approval)
  • Author SQL code to transform raw data into analytics-ready tables & views
  • Occasionally assist with building, monitoring, and maintaining data engineering pipelines in Azure, Fabric, and Fivetran
  • Occasionally assist with semantic modeling projects: star schema dimensional data modeling
  • Participate in data governance, master data management, and data stewardship by partnering with key individuals throughout the company who administer our various systems of record (Enterprise Resource Planning (ERP), Trade Promotion Management (TPM), Direct to Consumer (DTC), E-commerce, Point of Sale, Planning & Forecasts, etc.) to help optimize and harmonize data for analytics use cases

In This Role, You’ll Bring With You

  • A bachelor’s or advanced degree in information systems, analytics, computer science, data science, business, or any other relevant major, or equivalent years of experience
  • 5+ years of experience in any combination of data analytics, data science, business intelligence, data engineering, or equivalent roles
  • Advanced Power BI Desktop & Excel development skills
  • Advanced SQL & DAX skills
  • Expertise working within the Microsoft data ecosystem: Power BI Premium, Fabric, and Azure
  • Familiarity with Power Query, SSMS, Tabular Editor, DAX Studio, Azure Data Factory, Azure SQL Database, and/or Fabric Notebooks is a huge plus
  • Data visualization capabilities paired with a strong sense of graphic design (fonts, colors, labels, layouts)
  • Proficiency in Python and/or any other predictive data modeling languages for AI/ML use cases is a huge plus
  • Scripting abilities C# and/or PowerShell are a plus
  • Solid knowledge of Microsoft Suite, Outlook, Slack, and other professional platforms
  • Familiarity with Consumer Packaged Goods (CPG) data domains including sales, marketing, accounting, e-co

Skills

Power BI
Excel
DAX
Data Visualization
KPI Development
Data Wrangling
Predictive Modeling
SQL
Data Engineering
Data Governance
Semantic Modeling
Reporting
Analytics

Once Upon A Farm

Organic meals and snacks for children

About Once Upon A Farm

Once Upon a Farm provides organic meals and snacks specifically designed for babies, toddlers, and young children. Their products include refrigerated pouches, oat bars, and frozen meals, which are delivered directly to customers' homes through a subscription service. This allows parents to customize their orders based on their children's needs. The company stands out from competitors by emphasizing organic farming practices and clean label certifications, which means their products have minimal exposure to pesticides and harmful chemicals. Once Upon a Farm's goal is to support healthy eating habits during the crucial first 1,000 days of a child's life, helping to develop their palate, reduce picky eating, and promote overall health and well-being.

Berkeley, CaliforniaHeadquarters
2015Year Founded
$82.8MTotal Funding
SERIES_DCompany Stage
Food & Agriculture, Consumer GoodsIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Unlimited Paid Time Off
401(k) Company Match
401(k) Retirement Plan
Remote Work Options
Paid Volunteer Time
Paid Time Off to fulfill civic responsibilities
Flexible Spending Account/Flexible Spending Account
Employee Assistance Program
Paid Parental Leave
Monthly Cell and Internet Stipend
Employee Discounts
Annual Bonus
New Hire Remote Life Stipend
Wellness Program

Risks

Increased competition in the organic baby food market may impact market share.
Rising costs of organic ingredients could affect pricing strategies and profitability.
Economic downturns may reduce consumer spending on premium subscription services.

Differentiation

Once Upon a Farm offers cold-pressed, organic snacks for children, ensuring freshness.
Their subscription model provides convenience and customization for health-conscious parents.
Partnerships with regenerative farms emphasize sustainability and high-quality ingredient sourcing.

Upsides

Expansion into pantry snacks broadens their product range and market reach.
Collaborations with lifestyle brands enhance visibility and attract new customer segments.
Growing demand for clean label products aligns with their organic, non-GMO offerings.

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