Senior Analyst, Reporting and Forecasting

Mondelēz International

. Maintain and build additions to the existing Databricks environment housing data for internal reporting .

Posted 9/21/2026full-timeRemote • California • United StatesSenior💰 $86,900 - $119,515 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, utilizing statistical programming languages, and developing data visualizations to support business intelligence initiatives. Strong ability to communicate insights and collaborate cross-functionally to influence decision-making.

Highest-signal resume keywords

Data Pipeline DevelopmentStatistical Programming (R, Python, SQL)Data Visualization (Power BI, Tableau)Business IntelligenceDemand Planning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TechniquesDatabase DevelopmentQuery WritingData IntegrityData Analysis

Soft Skills

Attention to DetailInfluencing Decision MakingCollaborationIndependent Decision Making

Tools & Technologies

DatabricksPower BITableauSharePointPower AppsPower AutomateNetSuiteVividlyNielsenCircana

Industry Keywords

CPG AnalyticsS&OP CyclesTrade-System SpendGross-to-Net P&LSyndicated Data Interfaces

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Maintain and build additions to the existing Databricks environment housing data for internal reporting
Build data pipelines from multiple sources to create a unified “one source of truth” model
Maintain Power BI report availability, deploy improvements, develop visualizations, and manage report distribution
Manage reporting and storage of snapshots for budgets, points in time, and gross-to-net P&L assumptions
Translate day-to-day and ad hoc analyses into accessible reports and insights
Own the base sales forecast in partnership with Field Sales
Interface with Marketing and Operations throughout monthly S&OP cycles
Support trade owners in summarizing and reporting trade-system spend
Communicate findings to the business and collaborate cross-functionally on solutions

Requirements

What you’ll need

Bachelor’s degree and 5+ years in CPG analytics, demand planning, or related field preferred with a primary focus on business intelligence
Strong knowledge of statistical programming languages such as R, Python, and SQL
Experience writing queries and developing databases
Experience using data visualization tools such as Power BI and Tableau
High attention to detail and passion for data integrity
Comfort working across multiple data sources
Ability to influence decision making across multiple levels and functions
Ability to make decisions and work with little supervision
Diligence in keeping detailed, well-structured notes on assumptions and programming changes
Knowledge and experience in statistical techniques and concepts such as regression, distribution properties, and statistical testing
Prior experience with SharePoint, Power Apps, Power Automate, NetSuite, Vividly or other TPM systems, and syndicated data interfaces such as Nielsen, Circana, and SPINS is a plus

Benefits

Comp & perks

Highly competitive bonus program with possibility for overachievement based on performance and company results
Health insurance
Wellness and family support programs
Life and disability insurance
Retirement savings plans
Paid leave programs
Education related programs
Paid holidays and vacation time
Many benefits are subsidized or fully paid for by the company