Senior Data Analyst

Valtech

. Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $90,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in digital analytics, reporting, and dashboard design, with a strong ability to translate data into actionable business insights. Proficient in data quality validation, stakeholder communication, and mentoring junior analysts while adhering to governance standards.

Highest-signal resume keywords

Digital AnalyticsDashboard DesignSQLGoogle Analytics 4 (GA4)Data Quality Validation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data StructuresKPI LogicPerformance MeasurementSemantic ModelingAnalytical Problem-SolvingData ModelingReporting SolutionsPerformance AnalysisData VisualizationDocumentation

Soft Skills

Strong Communication SkillsAttention to DetailCollaborationMentoringStakeholder Engagement

Tools & Technologies

LookerPower BITableauGoogle SheetsBigQuerySnowflakeAdobe AnalyticsOptimizelyAdobe TargetDynamic Yield

Certifications & Qualifications

Google Analytics CertificationSQL CertificationLooker CertificationTableau CertificationAdobe Analytics Learning Path

Industry Keywords

Analytics GovernancePerformance MetricsBusiness LogicData QualityAgile Methodologies

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis
Translate business questions into analytical approaches, reporting requirements, data needs, and output designs
Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities
Own transformation logic and dashboard-ready data modeling
Define, document, and maintain consistent business logic for metrics, dimensions, and KPIs
Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges
Synthesize analysis into findings, implications, and recommendations for internal and client stakeholders
Explain performance changes, report logic, assumptions, and recommended actions to stakeholders
Partner with Measurement Implementation Analysts, CRO Analysts, SEO/GEO Specialists, Analytics Engineers, and DEPA teams
Improve reporting structure, metric definitions, documentation, and scalable analysis workflows
Follow privacy, measurement, and data-quality governance standards
Use approved AI-assisted workflows while maintaining accountability for analytical judgment, accuracy, interpretation, and recommendations
Participate in client-facing discussions and explain methodology and findings in clear business language
Improve documentation, share best practices, and support junior practitioners
Provide day-to-day guidance, feedback, and quality support to junior analysts
Help onboard junior team members and review smaller analytics deliverables
No formal direct people management responsibility

Requirements

What you’ll need

3+ years of experience
Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement
Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight
Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles
Ability to turn data into clear, business-relevant insights and recommendations
Strong analytical problem-solving skills, including investigating anomalies and identifying likely performance drivers
Working knowledge of semantic modeling and consistent business definitions in scalable analytics
Ability to balance technical accuracy with stakeholder usability in reports and dashboards
Strong written and verbal communication skills in English
Strong attention to detail and disciplined validation, QA, and documentation
Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts
Active adoption of approved AI-enabled analytics and productivity tools
Google Analytics 4 (GA4), Adobe Analytics, or other digital analytics platforms as needed
Experience with Looker, Power BI, Tableau, or Looker Studio
Experience with SQL, BigQuery, Snowflake, Excel, or Google Sheets
Experience with Optimizely, Adobe Target, Dynamic Yield, or relevant CDP and optimization tools
Agile methodologies and consulting experience are a plus
Google Analytics certification or equivalent GA4 learning path is nice to have
Adobe Analytics learning path or platform training is nice to have
Looker, Tableau, or Power BI certification is nice to have
SQL certification or equivalent applied coursework is nice to have

Benefits

Comp & perks

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family
Employer contributions to Health Savings Accounts
Competitive compensation package
Reasonable accommodations during the interview process