Job Description

We are seeking a highly analytical and technically proficient Media Analytics Specialist/Senior Media Analytics Analyst to join our Media Analytics team. This role is crucial for understanding media business needs and translating them into robust analytical solutions. The ideal candidate will possess a strong blend of analytical acumen, technical expertise in data manipulation and visualization, and a deep understanding of digital marketing principles. You will be instrumental in building data products that range from insightful dashboards to complex analytical models and efficient data pipelines, all aimed at improving process efficiency and driving business growth.

Business Intelligence Tools:

Proven proficiency in designing and developing dashboards and reports using leading BI tools such as

Microsoft Power BI

and

Qlik Sense

.

Programming Languages:

Strong command of

Python

for data manipulation, analysis, and scripting, along with expert-level proficiency in

SQL

for querying and managing large datasets.

Cloud Environment:

Familiarity and hands-on experience working within the

Google Cloud Platform (GCP)

environment (e.g., BigQuery, Cloud Storage, Cloud Functions).

Data Storytelling:

Ability to present complex data and insights in a clear, concise, and compelling manner to both technical and non-technical audience.

Data Pipeline Development:

Build, maintain, and optimize data pipelines to ensure timely, accurate, and reliable data flow from various data sources into our analytical platforms, utilizing programming languages like Python and SQL.

Dashboard & Report Development:

Design, develop, and maintain interactive dashboards and reports using business intelligence (BI) tools (e.g., Power BI, Qlik Sense) to visualize key metrics and performance trends for various stakeholders.

Process Improvement:

Identify opportunities to enhance data collection, processing, and analysis workflows. Proactively suggest and implement improvements to increase efficiency and accuracy within the analytics processes.

Collaboration & Communication:

Work cross-functionally with data engineers, marketing teams, and other business units to ensure data consistency and deliver integrated analytical solutions. Effectively communicate complex analytical findings to non-technical audiences