Senior Data Analyst

As part of the DnA team, you will work as an independent individual contributor who is an analytics expert with technical proficiency. You will be responsible for bringing new analytics ideas and innovation to the campaign optimization strategies, KPI reporting, automation, and QBR/Insights. You will also be the face of the project execution team to build cutting-edge technical tools for business growth.

Responsibilities:

• Own entire delivery for Strategic/Grow accounts: Wow the client with high-quality bespoke insights and campaign performance.
• Own delivery of advanced insights and QBRs with recommendations.
• Active involvement in developing presales/pre-campaign decks and proactive insights.
• Partner with AMs and traders to maintain stickiness for these accounts through repeated campaign success and top-notch client servicing.
• Bring in innovative analytics solutions to solve client business problems with a focus on increasing share of wallet.
• Brainstorm and identify upselling and cross-selling opportunities.
• Identify opportunities and implement advanced activation use cases like Pred. Rtg., custom segmentation, etc.
• Build automated solutions for strategic accounts for better client engagement.
• New Data/API explorations and integration: Execution, measure adoption, and impact.
• Identify automation opportunities and collaborate with the analyst for execution.
• Provide technical expertise to the team in Python/R, Spark, Databricks, SQL, etc., and ensure tech best practices through code optimizations.
• Function as a stakeholder for key products to provide new feature testing, feature improvement, and recommendations to improve the MiQ product suite.
• Proactive involvement in central DNA initiatives and arranging knowledge-sharing sessions.
• Responsible for mentoring and guiding analysts and interns on core analytics competencies and the programmatic/MiQ landscape.
• Active participation in hiring and onboarding initiatives for analysts and interns.
• Ability to communicate effectively, both verbally and in writing, on day-to-day deliverables.
• Work collaboratively with peers and business/technical teams.
• Focus on timely execution and quality of delivery with an attitude to excel.
• Passionate about data analysis, continuous learning, and professional development to keep up with the fast-paced environment.
• Guide and mentor analysts and new members of the team.

Requirements:

• Bachelor's degree in engineering or an equivalent quantitative field (such as statistics, mathematics, or economics).
• 2+ years' experience in the analytics domain.
• Working knowledge of Python/R.
• Proficient in advanced SQL/Hive/Presto, Excel, and MS PowerPoint.
• Ability to break down and solve problems through quantitative thinking and analysis.
• Experience in handling large datasets and deriving insights out of it.
• Data visualization skills.
• Programmatic media/ad-tech domain knowledge.
• Knowledge of big data processing tools like Qubole/Databricks/Spark.
• Knowledge of Tableau/PowerBI/Google Data Studio.
• API Integrations > Storytelling skills.