Data Analyst II

Key Responsibilities
1. 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.
2. 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.

3. 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.

4. 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.

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.

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