Senior Business Data Strategist
2 days ago
ADCI - Karnataka is a fast-growing, multi-billion-dollar, worldwide business with a mission to provide the world's most desired and convenient gift to customers. Our team is seeking an outstanding Business Intelligence Engineer III, Gift Cards.
About the RoleWe are looking for an exceptional Business Intelligence Engineer who will build analytic and reporting capabilities to deliver on strategic analytical/reporting projects. The ideal candidate will have broad technical skills and be able to define/produce end-to-end metrics that inform product, business, and marketing decisions.
The successful candidate will relish working with large volumes of data, enjoy the challenge of highly complex business contexts, and be passionate about data and analytics. They will be an expert with business intelligence tools and partner with the business to identify strategic opportunities where data-backed insights drive value creation.
An effective communicator, the candidate will crisply translate analysis results into executive-facing business terms. They will work aptly with internal and external teams to push projects across the finishing line and be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced and global team.
Key Responsibilities- Interface with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
- Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling.
- Evolving organization-wide Self-Service platforms.
- Building metrics to analyze key inputs to forecasting systems.
- Leading complex analytical deep dives (Segmentation, A/B testing).
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
- 10+ years of relevant experience in Data engineering, database engineering, business intelligence or business analytics.
- 6+ years of hands-on experience in writing complex, highly-optimized queries across large data sets.
- 2+ years of experience in scripting languages like Python etc.
- Demonstrated strength in data modeling, ETL development, and Data warehousing.
- Experience with Big Data Technologies (Hadoop, Hive, Pig, Spark, etc.).
- Experience in working and delivering end-to-end projects independently.
- Knowledge of distributed systems as it pertains to data storage and computing.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Salary: $120,000 per year. Benefits include health insurance, retirement plan, and paid time off.
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