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Senior Data & Insights Consultant, Bilingual Spanish/English

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. Lead creation and delivery of analytical insights and strategic recommendations to external clients and senior internal stakeholders .

Posted 10/7/2026full-timeAtlanta • United StatesSenior💰 $130,900 - $210,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates advanced analytical capabilities, including proficiency in SQL and experience with large datasets using technologies like Hadoop and Spark. Excels in data visualization with tools such as Tableau and Power BI, while effectively leading teams and influencing stakeholder decisions.

Highest-signal resume keywords
Advanced Proficiency In SQLData Visualization Expertise Using TableauExperience Analyzing Large Datasets Using HadoopDemonstrated Digital Fluency With Generative AIExperience In Payments And Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData AnalysisStatistical MethodsAnalytical ModelingData Quality ControlsData VisualizationAnalytical WorkflowsAutomationBenchmarkingHypothesis Development
Soft Skills
Stakeholder ManagementCoachingCommunicationExpectation ManagementProblem Solving
Tools & Technologies
HadoopHiveSparkDatabricksTableauPower BIQlikCloud-Based AnalyticsGenerative AI ToolsBusiness Intelligence Tools
Industry Keywords
PaymentsAuthorizationRisk ManagementFraudClient PerformanceFinancial ServicesOperational EffectivenessCustomer ExperienceMarket BenchmarkingBest Practices

Tech Stack

Tools & technologies
CloudHadoopSparkSQLTableau

About the role

Key responsibilities & impact
  • Lead creation and delivery of analytical insights and strategic recommendations to external clients and senior internal stakeholders
  • Frame ambiguous business questions and translate them into hypotheses, data requirements, workplans, timelines, and measurable outcomes
  • Define analytical approaches and quality standards for complex problems and drive stakeholder alignment
  • Source, combine, and analyze large, complex, disparate datasets
  • Identify opportunities to improve client performance, profitability, payment acceptance, authorization outcomes, risk management, fraud outcomes, customer experience, and operational effectiveness
  • Benchmark client and market results against peer groups, industry trends, and best practices
  • Develop executive-ready presentations, data visualizations, and written narratives
  • Lead client and stakeholder discussions, manage expectations and objections, and align partners on priorities and next steps
  • Use Generative AI and emerging technologies to improve analytical workflows and insight generation
  • Review analytical deliverables for clarity, accuracy, business relevance, and executive readiness
  • Provide guidance, coaching, and quality review to analysts and consultants
  • Improve team practices, processes, templates, quality checks, reusable code, and analytical standards

Requirements

What you’ll need
  • 8 or more years of relevant work experience with a Bachelor Degree, or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), or 2 years of work experience with a PhD
  • Preferred: 9 or more years of relevant work experience with a Bachelor Degree, or 7 or more relevant years of experience with an Advanced Degree, or 3 or more years of experience with a PhD
  • Advanced proficiency in SQL
  • Experience analyzing large, complex datasets using Hadoop, Hive, Spark, Databricks, cloud-based analytics environments, or comparable technologies
  • Data visualization expertise using Tableau, Power BI, Qlik, or comparable business intelligence tools
  • Working knowledge of statistical methods, analytical modeling, data quality controls, and documentation practices
  • Demonstrated digital fluency and ability to use Generative AI tools responsibly and effectively
  • Experience in payments, acceptance, authorization, risk, fraud, client performance, or related financial services domains
  • Proven ability to quantify business impact, articulate risk-benefit trade-offs, and influence stakeholder decisions
  • Advanced experience with data visualization, analytical platforms, large-scale data environments, and automation of repeatable analytical workflows
  • Experience coaching or reviewing the work of analysts and consultants in a matrixed, fast-paced environment
  • Spanish language would be considered a valuable additional qualification
  • Requires at least 3 days in office
  • Travel required 5-10% of the time

Benefits

Comp & perks
  • Potential bonus and equity eligibility
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • FSA/HSA
  • Life insurance
  • Paid Time Off
  • Wellness Program