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Senior Data Analyst

Georgia IT, Inc.

Role overview

Qualifications

  • 12-15+ years of experience in analytics or data science, with expertise in measurement and attribution
  • 3-5 years' experience in AdTech industry
  • Skilled in SQL, Python, Excel, Tableau, and Sigma
  • Proven track record of creating and presenting data-driven dashboards

Responsibilities

  • Lead measurement initiatives; develop KPIs and learning plans for customers
  • Develop, implement, and maintain analytics systems, tools, and frameworks
  • Design approaches for observational analytics and experimental methods
  • Identify and communicate areas to improve effectiveness, efficiency, and productivity

About the company

Georgia IT, Inc. logo

Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Company details

Company size51 - 200

Links

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Job description

Job Title: Senior Data Analyst
Location: Remote

Required Skills
  • 12-15+ years of experience in analytics or data science, with expertise in measurement and attribution.
  • 3-5 years' experience in AdTech industry experience required; familiarity with the TV industry is a plus.
  • 3-5+ years of experience in AdTech & Marketing Analytics.
  • Skilled in measurement, attribution, funnel analysis, and developing client ready dashboards in SQL, Python, Excel, Tableau, and Sigma
  • Hands on exposure to AdTech style analytics through campaign performance, subscription funnel modeling, and event stream data analysis.
  • Analyzed campaign performance across Ad Spend, CAC, and impressions to evaluate acquisition efficiency; built Sigma dashboards and delivered recommendations that directly informed campaign scaling and budget allocation decisions.
  • Proven track record of creating and presenting data-driven dashboards and presentations, effectively telling a story through insights, with hands-on experience in Metabase, Tableau, and Looker.
  • Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences.
  • Ability to independently prepare analysis using SQL, Python, Excel, and statistical methods.
  • Detail-oriented with strong time management skills, delivering high-quality, client-ready analytical reports across multiple projects.
  • Comfortable presenting complex analyses to large, non-technical audiences, while also being able to adapt to effectively communicate with technical audiences.

Core Responsibilities
  • Lead measurement initiatives; develop KPIs and learning plans for customers in support of their marketing objectives
  • Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers
  • Design approaches for observational analytics – including mining multi-dimensional datasets – and experimental methods to build templates and libraries of analysis that can scale across many different customer use cases and verticals
  • Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization. Identify and communicate areas to improve effectiveness, efficiency, and productivity.
  • Design and create rich, compelling visualizations with data
  • Speak and present both internally and externally, leveraging data to tell a story and effectively communicating complex analytical concepts to business and technical audiences.
  • Help design new offerings in the analytical space.
  • Design and develop insightful dashboards using a variety of data visualization tools to inform decision-making for both internal and external stakeholders.


Tech Stack
Programming & Analytics: SQL, Python, Excel, PySpark, Airflow, Snowflake
Business Intelligence & Storytelling: Tableau (Certified), Sigma, Statistical Analysis, A/B Testing, Data Modelling
Certifications: Tableau Certified Analyst (2020), Ongoing: Databricks Academy - Streaming & Lakeflow Declarative Pipelines
Cloud & Big Data: AWS Cloud, Databricks

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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