31 Data Analysts Jobs - Page 2

We are seeking a skilled Talend ETL Developer with 4 to 7 years of experience in designing and developing robust ETL processes using Talend. The role requires strong capabilities in data extraction, transformation, and loading, along with expertise in performance optimization, error handling, and collaboration with data teams. Key Responsibilities: ETL Process Design: Design and develop scalable ETL processes using Talend for end-to-end data integration and transformation. Data Extraction: Extract data from diverse sources including databases, APIs, and flat files. Data Transformation: Transform and cleanse data to align with business requirements and ensure high data quality. Data Loading: ...

Key Responsibilities: Design, develop, and optimize batch and streaming data pipelines primarily using PySpark (Python with Apache Spark) . Write efficient, reusable, and testable code for large-scale data processing. Work with diverse and large-scale datasets from various sources, including but not limited to Kafka, Hive, S3, and Parquet files. Collaborate closely with data scientists, data analysts, and DevOps teams to build robust and scalable data pipelines. Tune Spark jobs for optimal performance and resource efficiency. Implement comprehensive data quality checks, logging, and error-handling mechanisms within data pipelines. Contribute to the overall architecture and strategy for big d...

ETL Process Design: Designing and developing ETL processes using Talend for data integration and transformation. Data Extraction: Extracting data from various sources, including databases, APIs, and flat files. Data Transformation: Transforming data to meet business requirements and ensuring data quality. Data Loading: Loading transformed data into target systems, such as data warehouses or data lakes. Job Scheduling: Scheduling and automating ETL jobs using Talend's scheduling tools. Performance Optimization: Optimizing ETL workflows for efficiency and performance. Error Handling: Implementing robust error handling and logging mechanisms in ETL processes. Data Profiling: Performing data pro...

What will your day look like? - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recomme...

What kind of person are we looking for We are seeking a highly skilled and motivated Business Intelligence Assistant Manager to join us. The successful candidate will be responsible for overseeing data analysis, developing insights, and supporting business strategies through data-driven decision making. This role requires a strong background in BI analytics, excellent people managerial skills, and a deep understanding of fintech industry trends. What would you get if you worked with us You'll be closely working on problem statements and influencing decisions that impact 42 million merchants. While supporting merchant experience strategy & operations, youll own data visibility, dashboarding, ...

Responsibilities: Design, develop, and maintain scalable data pipelines using Python and AWS Redshift Optimize and tune Redshift queries, schemas, and performance for large-scale datasets Implement ETL/ELT processes to ensure accurate and timely data availability Collaborate with data analysts, engineers, and product teams to understand data requirements Ensure data quality, consistency, and integrity across systems Automate data workflows and improve pipeline efficiency using scripting and orchestration tools Monitor data pipeline performance and troubleshoot issues proactively Maintain documentation for data models, pipelines, and system configurations Ensure compliance with data governanc...