Bangalore, India
Who are we?
Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
The role?
We are looking for a motivated and detail-oriented Business Intelligence (BI) Analyst to join our growing team in Bangalore. In this role, you will work closely with cross-functional teams to transform data into insightful dashboards, KPIs, and reports that drive strategic decisions.
What will you do?
- Design, build, and maintain interactive dashboards and reports using tools like Power BI or Tableau.
- Work with stakeholders to identify, define, and track KPIs and business metrics.
- Write SQL queries to extract and manipulate data from relational databases.
- Use Python for data analysis, automation, and ad-hoc reporting scripts, as needed.
- Collaborate with data engineering teams to ensure data availability, quality, and consistency.
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Ensure timely delivery of BI outputs in line with business goals and project timelines.
- Maintain documentation for processes, models, and dashboards.
- Assist in improving existing dashboards and processes for better scalability and performance.
What are we looking for?
- Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
- 1+ year of hands-on experience in Business Intelligence or Data Analysis.
- Strong proficiency in SQL, with the ability to write advanced queries.
- Experience in building dashboards using Power BI, Tableau, or similar BI tools.
- Knowledge of Python for data manipulation and automation.
- Ability to translate business requirements into effective data visualizations and reports.
- Strong understanding of data modeling, ETL processes, and data quality concepts.
- Excellent communication, problem-solving, and time management skills.
- Ability to work independently and collaboratively in a fast-paced environment.