Sr. Analyst

22Squared • Atlanta, GA

3d • Hybrid

About The Position

RESPONSIBILITIES Transform raw data into strategic insights that inform media planning, campaign optimization, and client recommendations Design, build, and maintain dashboards and reporting systems across platforms like Tableau, Looker, and Snowflake—balancing accuracy with usability Proactively identify performance trends, anomalies, and opportunities through exploratory analysis Present findings and recommendations to internal teams and executive-level client stakeholders with clarity and confidence Collaborate with media, strategy, and account teams to define KPIs, establish measurement frameworks, and ensure consistent tracking across channels Lead QA efforts across campaigns and data pipelines, troubleshooting issues and implementing scalable solutions Stay current on AI-powered analytics tools and methodologies, identifying opportunities to integrate automation and machine learning into workflows Juggle multiple projects and stakeholders, adapting quickly as priorities shift QUALIFICATIONS 3-5 years of experience in analytics, data strategy, or a related field—preferably within an agency or healthcare marketing environment Bachelor's degree in Statistics, Data Analytics, Marketing, Economics, or a related discipline Working knowledge of SQL and comfort navigating large datasets Hands-on experience with digital analytics platforms (Google Analytics, Adobe Analytics) and visualization tools a must (Tableau, Looker, Power BI) Familiarity with syndicated research tools such as MRI-Simmons, Nielsen, Comscore or Placer.ai Excellent communication and presentation skills—you have experience distilling complexity into a compelling story for any audience Sharp attention to detail paired with strong prioritization and project management instincts A collaborative mindset and genuine curiosity about how data can solve business problems PREFERRED QUALIFICATIONS Exposure to cloud data platforms like Snowflake or BigQuery Familiarity with ETL concepts or basic data pipeline workflows Some experience with SQL beyond querying—creating views, basic transformations Interest in or early exposure to AI-powered analytics tools (e.g., ChatGPT, Gemini, or AI features within platforms like Tableau or GA4) Experience with Python or R for data manipulation or automation a plus, but not required Previous experience in healthcare, pharma, or other regulated industries Awareness of advanced analytics methodologies such as Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or correlation/regression analysis—hands-on experience not required, but enthusiasm to learn and support these workstreams is a plus

Requirements

• 3-5 years of experience in analytics, data strategy, or a related field—preferably within an agency or healthcare marketing environment
• Bachelor's degree in Statistics, Data Analytics, Marketing, Economics, or a related discipline
• Working knowledge of SQL and comfort navigating large datasets
• Hands-on experience with digital analytics platforms (Google Analytics, Adobe Analytics) and visualization tools a must (Tableau, Looker, Power BI)
• Familiarity with syndicated research tools such as MRI-Simmons, Nielsen, Comscore or Placer.ai
• Excellent communication and presentation skills—you have experience distilling complexity into a compelling story for any audience
• Sharp attention to detail paired with strong prioritization and project management instincts
• A collaborative mindset and genuine curiosity about how data can solve business problems

Nice To Haves

• Exposure to cloud data platforms like Snowflake or BigQuery
• Familiarity with ETL concepts or basic data pipeline workflows
• Some experience with SQL beyond querying—creating views, basic transformations
• Interest in or early exposure to AI-powered analytics tools (e.g., ChatGPT, Gemini, or AI features within platforms like Tableau or GA4)
• Experience with Python or R for data manipulation or automation a plus, but not required
• Previous experience in healthcare, pharma, or other regulated industries
• Awareness of advanced analytics methodologies such as Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or correlation/regression analysis—hands-on experience not required, but enthusiasm to learn and support these workstreams is a plus

Responsibilities

• Transform raw data into strategic insights that inform media planning, campaign optimization, and client recommendations
• Design, build, and maintain dashboards and reporting systems across platforms like Tableau, Looker, and Snowflake—balancing accuracy with usability
• Proactively identify performance trends, anomalies, and opportunities through exploratory analysis
• Present findings and recommendations to internal teams and executive-level client stakeholders with clarity and confidence
• Collaborate with media, strategy, and account teams to define KPIs, establish measurement frameworks, and ensure consistent tracking across channels
• Lead QA efforts across campaigns and data pipelines, troubleshooting issues and implementing scalable solutions
• Stay current on AI-powered analytics tools and methodologies, identifying opportunities to integrate automation and machine learning into workflows
• Juggle multiple projects and stakeholders, adapting quickly as priorities shift

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees