Analytics Delivery
- Utilize expertise in data analysis, and visualization to execute end-to-end analytical solutions.
- Translate analytical solution into actionable insights and recommendations for technical and non-technical audience in a clear, concise and persuasive way
- Engage in long term solutions such as building, maintaining and documenting best practices within the team and building scalable solutions through automation , tech stack upgrade and tooling enhancements.
Data Engineering Delivery
Own delivery of Data Engineering based project execution such as
- Designing and developing end-to-end data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.
- Optimization of pipeline performance and resource utilization to ensure scalability, reliability, and efficiency.
- Ensuring data consistency, accuracy, and quality throughout the ETL process by implementing data validation and cleansing routines.
- Monitoring data pipelines and infrastructure components for performance bottlenecks, errors, and anomalies
Stakeholder management
- Manage interactions with business stakeholders for whom the data solutions are built - engage with them for design, ongoing planning and governance
- As a stretch - find opportunities for further expansion of scope for the business stakeholders
- - - - Basic Qualifications ----
Basic Qualifications
- BA/BS/MS/PhD in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or other quantitative field (advanced degree is a plus)
- Proficient in writing and understanding complex SQL queries; experience working with large data sets.
- Proficiency with visualization tools like Tableau, Google Data Studio
- Familiarity with distributed computing frameworks (e.g., Hadoop, Spark) and cloud platforms
- Ability to work with cross-functional teams and stakeholders to drive business outcomes.
- Strong project management skills (including use of suitable tools) - Keen sense of prioritization, Ability to identify and call out potential risks to delivery, Crystal clear communication skills.
- Ability to thrive and deliver in an ambiguous environment
- Self-motivated and driven to deliver agreed results on-time. Curious about finding better ways to do work - e.g., automation, self service
- Strong story-telling & articulation skills – ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
- A minimum 2-3 years’ experience in an analytics/DE delivery role
- - - - Preferred Qualifications ----
[ Preferred ] Knowledge of statistics, Programming background and expertise in building models using at least one of the following languages: Python, R
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .