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Business Intelligence Engineer
4 weeks ago
ADCI - Karnataka is seeking a highly skilled Business Intelligence Engineer to join our team. As a Business Intelligence Engineer, you will be responsible for designing, developing, and maintaining scalable, automated, user-friendly systems, reports, and dashboards that support our analytical and business needs.
Key Responsibilities:- Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials.
- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards that will support our analytical and business needs.
- Own alignment and standardization of analytical initiatives across the global business teams.
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.
- Provide requirements for telemetry and data structure to improve ability to extract data efficiently and provide the team insights faster.
- Own key executive reports and metrics that are consumed by our VPs and Directors.
- Provide thought leadership in global business deep dives across a variety of key performance indicators.
- Partner with engineering, product, business, and finance teams to create key performance indicators and new methodologies for measurement.
- Fluency in analytical communication to translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.
- Determine best-in-class performance reports and automate reporting for regular metrics, identify areas of opportunity to automate/self-service, scale ad-hoc analyses, build and inform BI tool improvements.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Operations Research.
- Experience in solving business problems by leveraging advanced analytical techniques such as predictive modeling (linear regression, time series forecasting), classification algorithms (K-means, KNN, SVM etc.).
- Proficiency in SQL and in one or more programming language – Python, Scala, Ruby, and Java.
- Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
- Knowledge on using business intelligence reporting tools – Tableau/QuickSight/Looker.
- Familiar with theory and practice of information retrieval, relevance, Statistics, and data mining and skilled at data visualization and presentation.
- Excellent problem-solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.
- 5+ years of experience as a Business/Financial Analyst, BI Engineer, or Systems Analyst preferably in an internet-based company with large, complex data sources.
- Experience conducting large-scale data analysis to support business decision making.
- Experience developing insights across various areas of customer-related data: financial, product, and marketing.
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.
- Proven problem-solving skills, attention to detail, and exceptional organizational skills.
- Track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents.
- Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Knowledge of scripting for automation (e.g. Python, Perl, Ruby).
