Key Responsibilities
- Analyze large-scale programmatic advertising data (including DSP/SSP performance, RTB metrics, audience behavior, and campaign KPIs such as CPM, CPC, CTR, conversion rate, and ROI) to evaluate campaign effectiveness, identify trends, anomalies, and optimization opportunities.
- Collaborate closely with the Big Data Engineering team to align on data requirements, optimize data pipelines, validate data accuracy, and ensure timely access to high-quality data for analytical activities.
- Develop and maintain interactive data visualization dashboards, regular performance reports, and ad-hoc analyses to communicate insights clearly and concisely to business departments (marketing, sales, product, etc.).
- Partner with business stakeholders to understand their strategic goals and analytical needs, deliver tailored insights and data-backed recommendations, and track the impact of data-driven decisions on business outcomes.
- Deeply understand the programmatic advertising ecosystem (RTB, DSPs, SSPs, audience targeting, ad formats, and industry best practices) to provide specialized analytical support and drive campaign optimization.
- Ensure data integrity by conducting regular data validation, troubleshooting data discrepancies, and implementing quality control measures to maintain reliable analytical outputs.
- Stay updated with industry trends, new analytics tools, and programmatic advertising innovations to continuously improve analytical processes and insights quality.
Required Qualifications & Skills
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; Master's degree is a plus.
- 1-3 years of relevant work experience as a Data Analyst, with a focus on programmatic advertising (experience with DSPs/SSPs, RTB, and programmatic campaign analytics is mandatory).
- Proficiency in data analysis tools (e.g., SQL, Python/R) and data visualization tools (e.g., Tableau, Power BI, Looker).
- Proven experience collaborating with big data engineering teams to align on data infrastructure, optimize pipelines, and ensure data quality.
- Strong ability to translate complex data into clear, actionable business insights; sharp analytical thinking and problem-solving skills.
- Excellent communication and stakeholder management skills, with the ability to present data insights to non-technical audiences effectively.
- Detail-oriented, self-motivated, and able to work independently as well as in a cross-functional team environment.
- Familiarity with advertising metrics, digital marketing trends, and programmatic advertising best practices.
Preferred Qualifications
- Experience working in the advertising, marketing, or ad-tech industry.
- Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts.
- Certifications in data analytics (e.g., Google Analytics, Tableau Certified Data Analyst) or programmatic advertising (e.g., Google Ads, The Trade Desk certifications).
What We Offer
- Competitive salary and benefits package aligned with industry standards in India.
- Opportunities for professional growth and upskilling in data analytics and programmatic advertising.
- A dynamic, collaborative work environment with cross-functional teams.
- Chance to impact key business decisions and drive growth through data insights.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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