Job Description

Job Description

Key Responsibilities

Strategic Analysis & Storytelling
Analyze information independently to turn results into compelling stories that provide

added value and ROI insights for clients.

Create detailed ROI reports and dashboards that demonstrate the monetary value of

sponsorships based on audience size and advertising rates.

Conduct market research, including survey analysis and trend forecasting, to help

brands understand emerging behaviors and demographics.

Project Management & Delivery
Manage complex client analytical projects, serving as a liaison between Sales and

Operations to ensure solutions meet client needs.

Define scope, perform cost calculations, and conduct feasibility checks for projects,

ensuring they meet budget expectations and profitability goals.

Use project planning tools (such as ROSCO or Monday.com) to track project progress

and coordinate with diverse media services teams to meet service-level agreements.

Process Optimization & Automation
Drive the automation of standardized, repeatable business processes to improve

efficiency and effectiveness.

Utilize technical skills (Python, VB Script) to optimize delivery workflows and contribute

to the continuous improvement of services.

AI Integration: Design and implement AI workflows and utilize prompt engineering to

enhance data processing speed and analytical capabilities.

Media Valuation & Quality Indexing
Oversee methodologies for "Media Value" determination, including Brand Tracking

(identifying logos in video footage) and Quality Indexing (grading logo visibility, focus,

and screen time).

Ensure accurate valuation calculation using proprietary tools and audience data.

Qualifications

Technical Proficiency

Advanced Data Manipulation: High proficiency in Python and SQL to extract and

manipulate data from a variety of sources is required.

Visualization & BI Tools: Extensive experience with Power BI or Tableau. Candidates

must understand the underlying architecture, not just the User Interface.

Spreadsheet Mastery: Advanced skills in Microsoft Excel, including pivot tables and

VLOOKUPs.

AI & Automation: Exposure to basic AI concepts, including prompt engineering and the

creation of AI workflows to automate data tasks.

Statistical Analysis: Familiarity with statistical software such as SPSS or R is beneficial

for research-heavy tasks. - Preferrable

Industry Knowledge & Experience

3–6 Years of Experience: Proven successful experience delivering complex analytical

projects and managing diverse stakeholders.

Domain Expertise: Previous exposure to the Sports and Media Industry is highly

preferable. You must have a strong understanding of the global media ecosystem,

measurement metrics, and how advertisers and media platforms interact.

Education: Bachelor's degree or equivalent in a subject requiring advanced

mathematical analytical skills.

Soft Skills & Competencies

Communication: Excellent spoken and written communication skills in English are

mandatory for presenting recommendations to different audiences and building trust with

stakeholders.

Project Management: Strong time management and prioritization skills, with the ability

to coordinate ongoing client projects independently.

Global Mindset: Ability to collaborate with international colleagues and maintain an

internal and external network.

Additional Information

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