Consumer Analytics - Contract

USD 55-60 per hour

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

BI @ 3 Communication @ 6 Data Analysis @ 6 Looker @ 3 Marketing Power BI @ 3 Python @ 6 Reporting @ 3 SQL @ 6 Tableau @ 3

Details

This role supports analysis and reporting across video and digital platforms, focusing on video performance, audience behavior, and the relationship between engagement, subscriptions, and revenue.

Responsibilities

Use SQL, Python, and business intelligence and reporting tools to extract, clean, transform, validate, and analyze large-scale video and digital analytics datasets from multiple platforms and data sources.
Perform advanced statistical and correlation analysis to understand how video and digital engagement metrics, including retention and audience segments, relate to subscriptions and revenue.
Develop dashboards and recurring analytical reports to monitor video performance metrics, track performance trends, identify shifts in viewer behavior, and analyze patterns across audience segments such as geography, traffic source, platform, and content type.
Support the definition and refinement of KPIs used to measure content success, audience engagement, and platform growth.
Translate complex datasets into clear insights, actionable recommendations, and compelling business narratives.
Partner with marketing, product, editorial, and leadership teams to answer key business questions and support decision-making around video performance and audience growth.

Requirements

Strong experience using SQL and Python for data analysis.
Experience with BI and reporting tools such as Tableau, Looker, Power BI, or similar platforms.
Experience working with video, digital media, audience, or content performance data.
Strong analytical skills, including experience with statistical and correlation analysis.
Ability to work with complex datasets and identify meaningful trends and patterns.
Strong communication skills and the ability to translate analysis into clear business insights and recommendations.

Compensation

Hourly salary range: USD 55–60.

Benefits

The company offers a comprehensive benefits plan that may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs. Benefits are not provided directly to contingent workers, contractors, or interns.