Senior Analyst

Overview

Senior Analyst in MiQ's Data and Analytics (DnA) team, working as an independent individual contributor and analytics expert with technical proficiency, owning analytics delivery for strategic accounts.

What you'll do

• Own entire delivery for Strategic/Grow accounts, providing high quality bespoke insights and campaign performance.
• Own delivery of advanced insights and QBRs with recommendations.
• Actively develop Presales/Pre-Campaign decks and proactive insights.
• Partner with AMs and Traders to maintain stickiness for these accounts through repeated campaign success and client servicing.
• Bring 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 such as Pred. Rtg. and custom segmentation.
• Build automated solutions for Strategic accounts for better client engagement.
• Explore and integrate new data/APIs, and measure adoption and impact.
• Identify automation opportunities and collaborate with Analysts for execution.
• Provide technical expertise to the team in Python/R, Spark, Databricks, SQL, etc., and ensure tech best practices through code optimization.
• Act as a stakeholder for key Products to provide new feature testing, feature improvement and recommendations to improve the MiQ product suite.
• Proactively participate in central DnA initiatives and arrange knowledge sharing sessions.
• Mentor and guide Analysts and interns on core analytics competencies and the programmatic/MiQ landscape.
• Actively participate in hiring and onboarding initiatives for Analysts and Interns.
• Work with stakeholders including Programmatic Traders, Account Managers, Sales Representatives (including RFP responses), and Agencies and Clients.

What you'll need

• Bachelor's degree in engineering or equivalent quantitative field (such as Statistics, Mathematics, Economics).
• 2+ years' experience in the analytics domain.
• Working knowledge of Python/R.
• Proficient in advanced SQL/Hive/Presto, Excel, MS PowerPoint.
• Ability to break down and solve problems through quantitative thinking and analysis.
• Experience handling large datasets and deriving insights from them.
• Data visualization skills.
• Programmatic Media / Ad-tech domain knowledge.
• Knowledge of Big Data processing tools such as Qubole/Databricks/Spark.
• Knowledge of Tableau/PowerBI/Google Data Studio.
• API integrations.
• Storytelling skills.
• 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.
• Passion for data analysis, continuous learning and professional development.
• Guide and mentor analysts and new members of the team.

Details

• Location: Bengaluru.
• Hybrid work environment.