Lead Product Analyst

Bengaluru

Applications have closed

InMobi

InMobi Mobile Marketing Platform to grow your business. Take leverage of InMobi's intelligence to identify, engage and acquire your best customers for your business.

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Our Story

Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight, we charted our course, helping to transform the way consumers engage with their phones.

Over the last 17 years, InMobi has built a global Advertising Platform that powers our customers’ growth by helping them engage their audiences and drive real connections.

InMobi has also built a second unicorn, Glance, which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India, SEA, Japan and the US – Glance is one of the largest content platforms globally with~200M daily active users.

 

We are seeking a talented and experienced Data Analyst with a focus on the Ad Tech domain to join our team. The ideal candidate will have 3 to 4 years of relevant work experience in data analysis, with proficiency in tools and technologies such as Python, Power BI, SQL, and Excel. As a Data Analyst specializing in Ad Tech, you will play a pivotal role in analyzing advertising data, optimizing campaigns, and driving insights to maximize advertising effectiveness and revenue generation.

Responsibilities:

  1. Analyze advertising data from various sources, including ad servers, DSPs, SSPs, and third-party platforms.
  2. Develop and maintain reports and dashboards using Power BI to visualize key performance metrics such as CTR, CPC, CPM, conversion rates, and ROI.
  3. Perform in-depth analysis of advertising campaigns to identify trends, patterns, and opportunities for optimization.
  4. Collaborate with cross-functional teams including marketing, sales, and product to understand business requirements and provide data-driven insights.
  5. Write complex SQL queries to extract, transform, and analyze large datasets related to ad performance, audience demographics, and market trends.
  6. Utilize Python for data manipulation, statistical analysis, and automation tasks to streamline data processing workflows.
  7. Conduct A/B testing and other statistical experiments to evaluate the effectiveness of advertising strategies and tactics.
  8. Monitor and track ad inventory, ad placement, and ad performance to ensure optimal ad delivery and revenue generation.
  9. Build power bi dashboards & maintain the philosophy of 'Reviews Via dashboards'.
  10. Provide ad hoc analysis and ad hoc reporting to support strategic decision-making and ad hoc business inquiries.
  11. Stay abreast of industry trends, best practices, and emerging technologies in Ad Tech and digital advertising.

Required Skills:

  1. Strong proficiency in SQL for querying and analyzing large datasets related to advertising.
  2. Advanced skills in Python for data manipulation, statistical analysis, and automation.
  3. Experience with data visualization tools such as Power BI, Tableau, or similar, with a focus on ad performance metrics.
  4. Expertise in Microsoft Excel for data analysis, reporting, and ad hoc data manipulation.
  5. Solid understanding of digital advertising concepts, including ad serving, ad targeting, and ad measurement.
  6. Familiarity with ad tech platforms and technologies such as ad servers, DSPs, SSPs, DMPs, and ad exchanges.
  7. Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
  8. Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Preferred Qualifications:

  1. Master's/Bachelor's degree Computer science, Statistics, Mathematics, Economics in a related field.
  2. 3-4 years of proven experience as a Data Analyst, preferably in the Ad tech or Digital advertising industry
  3. Experience with programmatic advertising platforms and real-time bidding (RTB) systems.
  4. Knowledge of web analytics tools such as Google Analytics or Adobe Analytics.
  5. Familiarity with data privacy regulations and compliance requirements in the Ad Tech industry.
  6. Experience with data engineering tools and techniques, including ETL processes and data pipelines.

Join our dynamic team at the forefront of digital advertising technology and help shape the future of ad tech through data-driven insights and innovation. If you are passionate about leveraging data to optimize advertising performance and drive business growth, we want to hear from you!

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom —guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values and more!

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Computer Science Data analysis Data pipelines Data visualization Economics Engineering ETL Excel Mathematics Pipelines Power BI Privacy Python SQL Statistics Tableau Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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