Senior Business Intelligence Analyst

Cambium Learning Group

. Build, maintain, and improve Tableau dashboards and reports for Customer Success, Marketing, and Sales executives .

Posted 10/7/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in Tableau and SQL for data analysis and visualization, with a strong ability to translate complex data into actionable insights. Experienced in developing KPIs, business performance reporting, and collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Advanced Proficiency In TableauExceptional SQL SkillsExperience With SalesforceData Storytelling SkillsExperience In Go-To-Market Analyses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TableauSQLData AnalysisKPI DevelopmentBusiness Performance ReportingCampaign AttributionAccount ScoringPipeline AnalysisRetention/Churn AnalysisStatistical Analysis

Soft Skills

CuriosityProblem-Solving SkillsExcellent CommunicationAttention To DetailAbility To Manage Multiple Priorities

Tools & Technologies

SalesforceExcelData WarehouseTableau CloudAI-Assisted Analytics ToolsDbtPythonR

Certifications & Qualifications

Bachelor's Degree In BusinessBachelor's Degree In EconomicsBachelor's Degree In StatisticsBachelor's Degree In Data ScienceBachelor's Degree In Analytics

Industry Keywords

SaaSB2BB2GCustomer SuccessMarketingSalesBusiness OperationsData GovernanceData QualityAnalytics Engineering

Tech Stack

Tools & technologies

Amazon RedshiftCloudPythonSQLTableau

About the role

Key responsibilities & impact

Build, maintain, and improve Tableau dashboards and reports for Customer Success, Marketing, and Sales executives
Provide visibility into pipeline, bookings, renewals, product usage, campaign performance, and other key metrics
Develop and maintain consistent KPIs aligned with business definitions
Deliver recurring business performance reporting and forecasting for executive planning
Analyze revenue, customer, and operational data, including campaign attribution, account scoring, pipeline health, and retention/churn drivers
Explain why results occurred and turn findings into actionable recommendations through data storytelling
Handle ad hoc and confidential analysis requests
Use data warehouse marts and Tableau Cloud data sources, writing SQL to explore, validate, and combine data
Translate stakeholder needs into data requirements and metric definitions
Partner with Analytics Engineering on new or enhanced data models
Identify and escalate data quality issues and help establish reporting standards
Partner with Customer Success, Marketing, and Sales to understand goals, processes, and data
Scope requests, set timelines, and prioritize work with the Director of Data Strategy & Analytics
Contribute to self-service dashboards, AI agents, and conversational analytics tools
Support enablement through documentation, training, and office hours
Follow data and AI governance policies
Automate recurring work and apply tools and best practices to improve scale, efficiency, and quality

Requirements

What you’ll need

Bachelor's degree in business, economics, statistics, data science, analytics, or a related field
5+ years of experience in an analytical role
Experience supporting sales, marketing, customer success, or business operations preferred
Advanced proficiency in Tableau or a comparable BI tool
Exceptional SQL skills for querying and validating data in a cloud data warehouse such as Redshift
Experience working with curated data models built by data or analytics engineering teams
Familiarity with dbt is a plus
Proficiency with Salesforce or another CRM, and Excel
Experience producing business-driven dashboards and reports and developing meaningful KPIs
Experience with go-to-market analyses such as campaign attribution, account scoring, pipeline analysis, or retention/churn analysis
Familiarity with Python or R for statistical analysis is a plus
Interest in or experience with AI-assisted analytics tools, such as AI agents, natural language query interfaces, or LLM-driven analytics
Experience within a SaaS B2B or B2G organization preferred
Curiosity, deductive and problem-solving skills
Excellent communication and data storytelling skills for non-technical audiences
Excellent attention to detail, follow-through, and ability to manage multiple priorities
Must work and reside within the US
Reliable cable or fiber-optic broadband connection with minimum speeds of 10 Mbps download and 5 Mbps upload for remote work
Ability to participate in video-based interviews and ongoing virtual meetings with camera on
Note-taking tools, reference materials, and AI-powered tools are prohibited during interviews or other selection activities unless prior written approval is obtained

Benefits

Comp & perks

Remote First work environment with flexibility and trust to balance work with life
Reimbursement to help cover the cost of setting up a home or remote office
Reliable internet requirement support for remote work