Talantix.io
Remote Position•07.03.26
AI SCORE 8.5

Trading & Analytics Lead - Remote Position for Media Buyers

$120K–$150K/year
RemoteAdTech
SQL•Python•Google Analytics•Mixpanel•BI Tools

About the Role

We are seeking a Trading & Analytics Lead - Media Buyers - Remote to join our dynamic team. In this role, you will lead the analytics efforts for media buying campaigns, leveraging data to drive performance and optimize strategies. As a key player in our organization, you will work closely with cross-functional teams to enhance our programmatic advertising capabilities.

What You'll Do

  • Lead the analytics team in developing insights and strategies for media buying campaigns.
  • Utilize SQL and BI tools to analyze campaign performance and provide actionable recommendations.
  • Collaborate with media buyers to optimize campaign strategies based on data-driven insights.
  • Drive the implementation of marketing analytics frameworks to measure success and ROI.
  • Manage client engagement and ensure exceptional customer success through data analysis.

Requirements

  • 5+ years of experience in analytics, preferably in programmatic advertising.
  • Strong knowledge of SQL, Python, Google Analytics, and Mixpanel.
  • Proven track record in campaign management and performance marketing.
  • Excellent leadership skills with experience managing teams.
  • Ability to communicate complex data insights to non-technical stakeholders.

Nice to Have

  • Experience with mobile app development and the mobile programmatic ecosystem.
  • Familiarity with SSPs and programmatic trading.
  • Knowledge of business intelligence tools and data strategy.

What We Offer

  • Direct access to top management and exceptional career growth opportunities.
  • Flexible work-from-home arrangement with a home-office setup budget of $500.
  • Annual learning and development budget of $1000 to enhance your skills.
  • Be part of a team bringing change to the AdTech market.
  • Competitive salary with performance bonuses.
Why This Job8.5 of 10

This Trading & Analytics Lead position offers a unique opportunity to lead data-driven strategies in the AdTech industry. With competitive salary and flexible work arrangements, it's an attractive role for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in SQL and Python for data manipulation and analysis, with a strong ability to build complex queries and automate reporting processes that drive actionable insights for media buying campaigns.

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Self-motivated and disciplined remote worker who excels in a virtual environment, demonstrating strong time management skills and the ability to lead cross-functional teams effectively from a distance.

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Experienced in utilizing BI tools such as Tableau or Power BI to visualize data trends and communicate findings clearly to stakeholders, fostering a data-driven decision-making culture within the organization.

Learning Resources

→Learn SQL Basics for Data Sciencecourse
→Python for Data Analysiscourse
→Google Analytics Documentationguide

Career Path

Trading & Analytics Lead(Now)→Director of Analytics(1-2 years)→Chief Data Officer(3-5 years)

Market Overview

SQL Market Size 2024
$8.5B
Annual Growth
10.2%
AI Adoption in Analytics
45%
Investment in BI Tools
+35%
Labour Demand for SQL Professionals
+22%
Avg Salary for SQL Analysts
$110K

Skills & Requirements

Required
SQLPythonGoogle Analytics
Growing in Demand
Data Visualization (Tableau, Power BI)Machine Learning (Scikit-learn, TensorFlow)Cloud Data Warehousing (Snowflake, Google BigQuery)
Declining
Traditional ETL Tools (Informatica)Basic Excel Skills

Domain Trends

Increased Use of AI in Data Analysis
45% of organizations are adopting AI for data analytics, improving decision-making and predictive capabilities.
Shift Towards Cloud-Based BI Solutions
The market for cloud BI tools is expected to grow by 30% in the next two years, as companies prioritize flexibility and scalability.
Focus on Real-Time Analytics
Companies are investing heavily in real-time data processing, with a projected 60% of enterprises using real-time analytics by 2025.

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