Company Overview
lncedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries.
Working at lncedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. lncedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description
Lead the end-to-end development of a centralized reporting solution by integrating retail banking data (e.g., customer acquisition, product performance, and branch costs) into an enterprise data warehouse using Teradata and GCP. Develop scalable ETL/ELT pipelines on GCP using services such as BigQuery, Cloud Functions, and Cloud Composer to automate data ingestion, transformation, and curation. Design and implement dimensional data models and aggregated datasets optimized for Microsoft Power Bl reporting and executive-level dashboards. Collaborate with business and analytics teams to define KPls, create drill-down logic, and enable real-time and role-based access reporting capabilities. Apply data science techniques to derive actionable insights such as customer behavior segmentation, product performance trends, and cost optimization strategies. Build predictive models for use in executive dashboards and support real-time business decisioning. Lead the technical vision for the project by aligning engineering and data science efforts toward a unified solution. Guide the integration of Power Bl visualizations with curated datasets and support business teams with usability and training. Ensure secure access and compliance by implementing data governance policies and access controls within the GCP and Bl environment. Troubleshoot technical challenges and support post-deployment enhancements and performance tuning. Oversee ingestion and management of historical and operational retail banking data across platforms, ensuring data quality and traceability. Coordinate with data architects and engineers to build secure and reusable data pipelines that conform to governance policies. Monitor data pipeline performance and proactively address issues related to latency, schema changes, and data loss. Ensure compliance with financial data handling standards, including PII masking, access restrictions, and audit readiness. Support the analytics team with engineered datasets that help identify risk factors, improve KPI accuracy, and drive predictive capabilities. Build alerting and logging mechanisms within GCP to ensure SLA adherence and observability of data jobs. Identify potential financial and operational risks through data analysis and modeling. Implement and monitor model performance, making necessary adjustments to maintain accuracy and reliability. Collaborate with risk management teams to develop strategies for risk mitigation.
Benefits
$114,115.00. Medical/Dental/Vision/Life, HSA/FSA, AD&D/STD/LTD, PTO, Technical Certifications, International Mobility, Employee Assistance, Anniversary Bonus
Requirements:
Requires a Master’s degree in Data Science, Computer Science, Information Technology, Engineering, Computer Information Systems or related, plus 1 year of experience in the IT field. Duties entail work with Pyspark, SQL, Scikit-Learn, PySpark Mlib, Hadoop, Matplotlib and Seaborn. Email resumes to usjobs@incedoinc.com
Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.