Senior Associate – Performance Analytics

Material

. Support digital media and brand marketing clients, focusing on organic social performance analysis .

Posted 10/23/2026full-timeUnited StatesSenior💰 $70,000 - $85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in digital media and brand marketing analytics, focusing on organic social performance analysis, data reporting, and insights generation. Proficient in building automated reporting workflows and utilizing BI tools to enhance client discussions and decision-making.

Highest-signal resume keywords

Digital Marketing AnalyticsLooker Studio ProficiencyPower BI ProficiencySQL ExperienceAutomated Reporting Workflows

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 AnalysisOrganic Social Performance AnalysisData PreparationETL/ELT ProcessesKPI DevelopmentData Quality AssuranceData Scripting (SQL, Python, R)Reporting Accuracy ReviewTrend IdentificationMeasurement Frameworks

Soft Skills

Stakeholder CommunicationPrioritizationConcise Observation TranslationProblem-Solving

Tools & Technologies

SupermetricsSnowflakeGoogle Tag ManagerTealiumCampaign Manager 360ClaudeChatGPT

Industry Keywords

Digital Media MeasurementSocial Media AnalyticsClient ReportingData GovernanceTag Management Solutions

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Support digital media and brand marketing clients, focusing on organic social performance analysis
Turn social platform, media system, and client reporting data into insights and recommendations
Build reliable reporting workflows that reduce manual effort
Analyze organic social performance across Instagram, LinkedIn, YouTube, Facebook, and X
Define social success through benchmarks, content and channel comparisons, and meaningful reporting
Combine data from social, media, and other sources to identify trends and recommend improvements
Create BI dashboards and reports for planning, optimization, and client discussions
Build and maintain automated reporting workflows using Supermetrics connectors, Claude, and ChatGPT
Review reporting outputs for accuracy, data quality, and client relevance
Query and review Snowflake datasets and support data preparation
Investigate data discrepancies and document metric definitions, reporting logic, and limitations
Translate client goals into measurement frameworks, KPIs, and analysis plans
Present findings and recommendations to stakeholders with varying analytics expertise
Manage recurring deliverables and ad hoc requests across multiple clients and teams
Support ETL/ELT, tracking requirements, UTM parameters, tag management, quality assurance, and technical documentation
Monitor changes to social platforms, measurement practices, and reporting tools

Requirements

What you’ll need

3–4 years of experience in digital or marketing analytics
Experience in an agency or consulting environment preferred
Hands-on experience analyzing organic social programs
Proficiency with Looker Studio and Power BI
Familiarity with Snowflake and SQL
Experience improving recurring reporting through connectors, data preparation, templates, or automation workflows
Familiarity with Supermetrics preferred
Ability to use Claude and ChatGPT thoughtfully for reporting efficiency while protecting client information and checking output accuracy
Understanding of digital media measurement across paid social, search, display, programmatic, and other channels
Experience with Campaign Manager 360 preferred
Ability to translate complex data into concise observations, explain likely drivers, and recommend next steps
Ability to prioritize work for multiple stakeholders and clients
Technical competencies in client-side and server-side data collection, tag management solutions, and data governance preferred
Experience with Google Tag Manager or Tealium preferred
Proficiency with data scripting languages such as SQL, Python, or R

Benefits

Comp & perks

Learning and professional capability development
Opportunities to contribute to leading-edge market offerings
Work with talented colleagues across the company, country, and world
Opportunity to work with leading brands across multiple sectors