We are seeking an experienced Data Analysis Specialist with a strong background in digital media and a proven track record in business intelligence, data analytics, and reporting. You will leverage advanced analytics tools and methodologies to extract actionable insights, support data-driven decision-making, and drive business growth.

Data Analysis & Insights: Analyze large datasets from diverse sources to uncover trends, patterns, and actionable insights for media and business stakeholders.

Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI).

Translate complex data findings into explicit, concise, and compelling narratives for non-technical audiences.

Data Management: Design, implement, and maintain robust data pipelines and ETL processes.

Ensure data quality, integrity, and consistency across all analytics outputs.

Business Intelligence: Collaborate with cross-functional teams to define KPIs, track performance, and identify opportunities for optimization.

Support strategic initiatives by providing data-driven recommendations and forecasts.

audience engagement, campaign performance, content effectiveness).

Monitor and analyze key performance indicators specific to the media industry.

Partner in creating performance reports for campaigns, brands, channels, etc.





Stakeholder Engagement: Partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions.

Continuous Improvement: Stay current with industry trends, emerging technologies, and best practices in data analytics and business intelligence.

7– 9 years of relevant experience in data analysis & business intelligence in digital media industry

- Proficiency in SQL for data querying and manipulation.
- Advanced knowledge of Python for data analysis, automation, and scripting.
- Hands-on experience with BI tools such as Tableau, Power BI, or similar
- Familiarity with data visualization best practices
- Strong statistical and analytical skills with experience in predictive modeling and data mining.
- Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
- Experience with cloud data platforms (AWS, GCP, or Azure) is a plus.
- Google Analytics, Adobe Analytics) and digital marketing metrics.
- Understanding of data governance, privacy, and compliance standards.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field

📌 SQL / Python Analytics Manager (Gurugram)
🏢 Publicis Global Delivery Pgd
📍 Gurugram