Top Tech Jobs & Startup Jobs

Build and support end-to-end data pipelines using Fivetran, Snowflake, and dbt. Develop data models, tests, documentation, incremental processes, and optimized SQL. Manage Snowflake security and data-loading patterns, implement data quality monitoring, troubleshoot production issues, and support CI/CD deployments. Collaborate with technical and business teams to onboard data sources and deliver enterprise data products. Python, orchestration, AWS, and AI-assisted development experience are beneficial.

Analyze customer behavior, segmentation, clickstream data, attribution, and marketing campaign performance. Design A/B tests, apply statistical modeling using SQL, Python, and SAS, and develop automated Tableau dashboards and reporting. Provide actionable insights to improve customer acquisition, retention, engagement, and marketing ROI.

Individual-contributor Vice President of Sales responsible for acquiring new Fintech clients across North America. The role drives the full sales cycle for BPO, data engineering, data operations, and advisory services, including prospecting, pipeline development, strategic account planning, proposal creation, multimillion-dollar deal closure, and client handoff. Candidates must have substantial experience selling large, multi-year engagements to Fintech organizations and closing deals exceeding $2 million ACV and $10 million TCV.

Leads end-to-end data engineering initiatives, including Azure Databricks development, SQL-to-PySpark migration, data integration, automation, and analytics solutions. Manages client requirements, developer teams, stakeholder alignment, quality control, compliance, performance evaluation, and strategic data sourcing. The role also involves managing risk analytics projects and ensuring adherence to organizational policies.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

The Fraud Analytics Manager translates fraud policies and procedures into testable decision logic, analyzes transactional and fraud data, validates business rules, and identifies process or data gaps. The role coordinates Fraud Operations, Business, Technology, Analytics, client stakeholders, and India-based delivery teams. Responsibilities include testing, reconciliation, evaluation framework design, sensitive-data controls, client presentations, documentation, and tracking risks and decisions. SQL, Python, and advanced Excel are used for analysis and validation, with preferred exposure to AI and LLM evaluation.

Designs, develops, and maintains scalable AWS data pipelines, data lakes, warehouses, and serverless applications. Builds ingestion and ETL/ELT solutions using AWS services, migrates data, implements streaming architectures, and optimizes performance, cost, reliability, and scalability. Participates in architecture, testing, CI/CD, and code reviews while collaborating cross-functionally. Leads high-impact data engineering initiatives and provides organizational and executive guidance.

Leads EXL’s Insurance Finance and Accounting solutioning strategy across Life, Annuities, and Property & Casualty. Owns strategic pursuits, RFPs, commercial models, win themes, client presentations, due diligence, and pipeline conversion. Builds insurance F&A propositions, thought leadership, reusable solutions, and executive client relationships. Manages a large solutioning team and operating model while coordinating Sales, Finance, Legal, Digital, Data & Analytics, Operations, and Delivery. Requires extensive insurance F&A, consulting, transformation, deal leadership, and executive stakeholder experience.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

Temporary recruiter responsible for full-cycle talent acquisition, including sourcing, interviewing, candidate evaluation, stakeholder relationship management, interview coordination, offer negotiation, and onboarding. The role partners with hiring managers to develop recruitment strategies, refine job descriptions, ensure regulatory compliance, improve candidate experience, and attract healthcare auditing professionals such as DRG, clinical validation, and outpatient auditors.