Associate Consultant

In summary, as an Associate Consultant, you add value by providing data-driven planning, activation, and reporting solutions to traders, product managers, sales teams, and agency/advertiser clients that empower MiQ and its stakeholders to reach the right audience with the right content at the right time.

Responsibilities:

• Build their product plan.
• Support backlog grooming and sprint planning.
• Own the complete development of a product: scoping, prototyping, development, testing, and release management.
• Manage the development squad: Form the squads and guide them.
• Work in partnership with all the other CoE teams, such as RIS, SI, Hub, Lab, etc., as per the needs of the product.
• Collect feedback on product usage, gather new requirements, and manage the post-release lifecycle of the product.
• Support in enabling the sales, AM, and trading teams to operationalize the product for new client opportunities and existing client projects.
• Maintain product wiki

Programmatic Traders:

• As an Associate Consultant, you collaborate with traders to test out the activation solutions to help them optimize campaigns.
• By leveraging your solution-developing skills and understanding of the programmatic landscape, you provide actionable activation segments on audience targeting, ad performance, and bidding strategies.
• This helps traders make data-driven decisions, optimize their advertising campaigns, and improve overall campaign effectiveness and ROI.

Product Managers:

• You work closely with the product managers to leverage the power of data partnerships, and through your EDA skills, you help uncover valuable insights about customer behavior, market trends, and campaign performance.
• This information allows product managers to create a product requirements and scoping document with all the necessary details about the product's USP and capabilities, thus outlining the course of product development.

Sales Representatives:

• You will also be helping the sales team by creating a pitch document/presentation of the local product and solution for the clients. Your deck/doc helps identify potential opportunities and develop a gripping sales narrative.
• Additionally, you assist in responding to Requests for Proposals (RFPs) by providing data-driven pre-campaign insights / white-labeled case studies from the products created under various verticals that help us increase the revenue streams.

Agencies and Clients:

• Your expertise in data analytics, statistics, data science, and solution development skills is invaluable for agency and advertiser clients.
• By providing them with planning, activation, and performance measurement solutions, you empower them to make informed decisions regarding their marketing strategies.
• Your final recommendations from the solutions will help clients optimize their advertising budgets, target the right audience, and maximize the effectiveness of their campaigns. You are required to promote MiQ's internal solutions and capabilities, showcasing MiQ's unique value proposition in the programmatic landscape.

DNA Analysts and Data Scientists:

• You are required to work with the DnA Analysts and Data Scientists to form a team with all the expertise in place for robust product development.
• The product developed under local products will be a collaborative effort of all 3 experts.
• You will also have to train all other DnA Analysts on how to use a product, help them pitch to the client, and how to measure the impact of the solution.

Requirements:

• Bachelor's degree in engineering or an equivalent quantitative field (such as statistics, mathematics, or economics).
• 3.5+ years' experience in the analytics domain.
• Proficient with either R or Python and PySpark.
• Expertise in Excel and PowerPoint.
• Knowledge of big data processing tools/frameworks like Qubole/Databricks/Spark and AWS.
• Descriptive and Inquisitive Analytics, Statistical Modelling, and Advanced Analytics.
• Should have developed and implemented at least 3 analytics solutions end-to-end.
• Able to translate problems into business-ready deliverables.
• Excellent storytelling and visualization skills.
• Exposure to machine learning and deep learning.
• Sound knowledge of Tableau/Power BI/Google Data Studio > Design and analysis of experiments.

Good to Have:

• Exposure to API Integrations.
• Programmatic Media / Ad-Tech domain knowledge.
• Knowledge of Agile methodology, Scrum framework, Sprint planning.
• Exposure to project management tools such as JIRA, Trello, Monday.com, etc.
• Experience applying AI/ML and generative AI to build practical analytics solutions, including predictive models, LLM-based tools, AI agents, automated insights, and workflow automation.
• Understanding of AI-powered product development, including translating business problems into scalable AI/data products, validating model outputs, and collaborating with Product, Engineering, and Data Science teams to take solutions from proof of concept to production.