Senior Marketing Analyst

The Impact You'll Have: 
As a Marketing Analyst, you will drive optimization decisions across the function. Work with advanced tools to derive inferences from the data and generate critical insights for marketing campaigns. 

What you'll be doing:  

• Track: Use the MarTech platform to capture performance data for all Marketing activity. Lead attribution decisions to gather highly detailed marketing performance data. 

• Analyze and Report: Regularly study the campaign performance data. Identify and report on the new opportunities and areas for optimization. 

• Learn and Grow: Elevate marketing analytics using advanced analytics and eventually Machine learning techniques. 

What we're looking for:  

If you're a Marketing enthusiast who loves working with data, we want to hear from you. 

• Hands-On Experience: You've already demonstrated your skills as a data analyst, ideally within a fast-paced environment and you're looking for a new challenge! 

• Technical Proficiency: You're highly skilled in both SQL and Python, can work independently with SQL and No-SQL data. 

• Cloud Expertise: You can work with data hosted on AWS cloud platform and are familiar with tools like Athena, RDS, EC2, Sagemaker. 

• Story Telling: You can work with Visualization tools, MS Office suite and online tools to create clear yet compelling reports and Dashboards. 

• Machine Learning and Data Modelling: You have expertise in training models using Classic Machine Learning algorithms in previous projects. You have experience of deploying models in production. 

• Communication: You have a good hold of the English language and can effectively communicate your ideas to others in Spoken and Written communication. 

• Attribution: Understanding of attribution across multiple touchpoints, UTM params and conversion paths. Conduct quality assurance on attribution models and maintain documentation of attribution rules and logic. 

Why you'll love working here: 

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge the status quo and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. 

• Career Growth: This is the perfect place to level up your technical and professional skills. You'll be mentored by experienced engineers and have opportunities to work on impactful projects. 

• Innovative Culture: You'll be part of a team that values fresh ideas and creativity. We encourage you to bring new perspectives to the table. 

• Vibrant Office: The role is based out of the Affluence office in Bangalore, and being one of the largest Nasdaq offices it also happens to be very vibrant, both culturally as well as technically. We know you'll love coming to office daily. 

• Attractive Compensation: We recognize that our employees work tremendously hard; in exchange, we compensate well, offering, bonuses and equity grants and comprehensive health and wellness programs. We also provide our employees with the resources and opportunities they need to chart a career of achievement, growth and endless possibilities. 

• Education Required: Bachelor’s Degree in Computer Science 

• Experience Required: At least 4 years 

• Proficiency required: SQL, Python, AWS, PowerBI, MS Office Suite, Classical Machine Learning 

Come as You Are 

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.