Data Analyst II

Job#: 3040443

Job Description:

Data Analyst II

Job Description:

US - remote (EST preferred).

Contract Duration: 1-year

What We Do/Project

The Marketing Intelligence team powers our client's marketing analytics functions for all owned, paid and organic media. We help optimize and plan media campaigns for 30+ TV networks (Discovery, HGTV, Food Network, CNN, TNT, TBS, etc.), streaming products (HBOmax, Discovery+), Theatricals and Games.

The business encompasses both off-channel acquisition and on-channel retention marketing efforts, which have seen exponential growth in data collection and management. Join a data-driven team that is building a marketing intelligence discipline incorporating big data sets, automation and visualizations to drive media efficiencies and effectiveness.

The Big Data Analyst will lead the scoping and ongoing validation of data pipelines, analytical models, and self-service dashboards. They will guide analysts in best practices for data querying, modeling, and visualization. This role works closely with data engineering and data science teams to strengthen data infrastructure and analytical capabilities, with a focus on defining data standards and business logic used to join and process data. The Manager will also oversee downstream data outputs and ensure their availability and data integrity within visualization tools.

This position is ideal for someone who loves big data, enjoys building scalable analytical solutions, and wants to shape the data infrastructure of a modern marketing intelligence organization.

Job Responsibilities / Typical Day in the Role

Big Data Analytics & Modeling

Lead the querying, mining, and analysis of large datasets-including Smart TV, media exposure, cost, and viewership data-to support marketing performance and attribution measurement.

Manage analytics roadmap for cross-platform viewership across linear TV and HBO Max and Discovery+ Streaming platforms.

Guide the application of statistical modeling techniques for audience segmentation, attribution, media mix modeling, and marketing optimization.

Ensure analytical outputs are accurate, reproducible, and aligned with business needs.

Support the translation of analytical projects into scalable, automated data products and repeatable workflows.

Leverage AI tools and platforms to engineer prompts, develop custom agents, and drive workflow automation across team operations

Data Infrastructure & Engineering Collaboration

Partner with data engineering teams to access, combine, and validate structured and unstructured data sources.

Contribute to the development and maintenance of data models, pipelines, and analytical frameworks.

Create data dictionaries for raw data inputs and define how business logic should be applied for reporting, modeling and attribution outputs.

Ensure data lifecycle governance best practices are followed across collection, access, and storage and support business objectives and goals.

Oversee data quality, version control, and documentation standards for the analytics team.

Leverage AI tools to automate data processing, enhance analytical workflows, and identify opportunities for improved efficiency and insight generation.

Cross Functional Coordination

Translate business questions into clear analytical requirements for the team.

Coordinate with marketing, research, and subscriber acquisition teams to ensure analytical tools support business operational needs and KPIs.

Support ad hoc analytical projects and evolving business priorities.

Manage data privacy and legal requirements for marketing use cases.

Must Have Skills / Requirements

1)SQL experience

a.3+ years; Data Query building expertise, partnering with engineers in previous roles.

2)Data prep for Data Analytics

a.3+ years; Working with Big Datasets for end-use for data visualization or analysis.

3)Experience working with ETL Data Workflows

a.3+ years; Extract, transform, and load disparate data sets from various platforms (internal and external data sources).

Nice to Have Skills / Preferred Requirements

1)Experience with AI prompt engineering and building agents using platforms such as Claude or GPT is a plus

2)Familiarity with viewership datasets (Nielsen, Inscape, Samba, STB data) is a plus.

Soft Skills:

1)Understanding of data lifecycle management and data governance.

2)Experience applying predictive analytics or foundational data science models.

3)Experience collaborating with data engineering and data science teams.

4)Strong analytical thinking and ability to manage complex technical projects through completion.

Technology Requirements:

1)Proficiency in SQL and data programming languages (Python or R).

2)Experience with big data environments such as AWS (S3, Athena), Snowflake, Databricks, or similar.

3)Experience integrating AI solutions into analytics workflows and data visualization tools.

4)Proficiency with Tableau, Power BI, or Looker, including advanced calculations and data modeling.

5)Experience with GitHub or other source control systems.

Education / Certifications

1)Bachelor's degree in Applied Statistics, Engineering, Computer Science, Marketing Analytics, or related field; or equivalent experience.

Interview Process / Next Steps

1)1st round interview with Director (HM) and Senior Manager (1-hour; 30-mins with each manager)

2)2nd round with SVP of Marketing Intelligence

US - remote (EST preferred).

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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