Senior Data Analyst I

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.

1. 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.

1. 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. 

1. 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.

Essential Skills & Qualifications

• 3 - 6 yrs experience - Data Expertise: Strong proficiency in Excel, including advanced formulas, pivot tables, and complex data transformation techniques.
• Analytical Mindset: Possess an analytical mindset and strong time management and prioritization skills.
• Communication: Excellent communication and presentation skills, with the ability to turn analysis into clear recommendations for diverse audiences.
• Industry Knowledge: Deep knowledge of media and sponsorship within the advertising industry.
• Schedule Flexibility: Must be willing to work in shifts to provide seamless support to our USA market clients.
• 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.

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 Google sheets, 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
• Technical Advantage: Experience with scripting or coding languages, such as Python or VBA (Visual Basic for Applications). 
• Automating various iterative tasks within MS Excel or any other tools using Python. 

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