Role Description This is a remote position. - Job Title: Data Analyst - Location: Remote - Duration: Full-Time - NEED IRS MBI Clearance. - Experience & Leadership: 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers. - Data Pipeline Expertise: Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. - Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture). - Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC). - Bonus/Preferred: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams. Qualifications - 3–5+ years in data engineering or backend data systems. - Experience leading data pipeline projects. - Mentoring junior engineers. - Proficient in ETL/ELT pipelines. - Strong skills in SQL, Python or Scala. - Experience with data warehouses and data lakes. - Familiarity with cloud platforms and containerization. Requirements - IRS MBI Clearance. - Experience with tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. - Knowledge of CI/CD and data versioning. Benefits - Remote work flexibility. - Full-Time position.

Role Description This role will focus heavily on operational execution, financial data reconciliation, system mapping, QA, and implementation support workflows. The ideal candidate is highly detail-oriented, comfortable working with large datasets and spreadsheets, and able to navigate ambiguity in a fast-paced startup environment. This is not a traditional customer support or admin role. We are looking for someone who enjoys solving operational puzzles, cleaning messy data, and supporting complex implementation workflows behind the scenes. You will work closely with Implementation Managers to help reduce manual workload, improve turnaround times, and support scalable implementation operations as the company continues to grow rapidly. Qualifications - Strong Excel/data reconciliation skills - Experience with ERP/CRM/billing systems - Comfortable with messy financial data - Experience with NetSuite, Salesforce, Stripe, Chargebee, or similar tools - Background in implementation ops, rev ops, finance ops, billing ops, or SaaS operations - Strong attention to detail and QA mindset - Comfortable in startup environments and ambiguity - Able to follow logic/processes and ask smart questions Requirements - Support implementation managers with operational/data-heavy workflows - Customer and item-level mapping across systems - Historical billing/revenue reconciliation - Data cleanup and validation - QA and exception handling - Spreadsheet-based reconciliation work - Assist with implementation operational workflows and documentation Company Description

• Build and maintain dashboards and reporting solutions across multiple business functions including Sales, Customer Success, Marketing, Product, and Engineering • Perform ad-hoc analysis and exploratory user behavior analysis to uncover trends, opportunities, and actionable insights • Own data pipelines from ingestion and transformation through modeling and analytics delivery • Design, build, test, and release scalable analytics solutions using a variety of data sources • Collaborate with stakeholders to gather requirements and translate business needs into measurable solutions • Break down high-level initiatives into manageable epics, stories, and tasks for execution and tracking • Organize and maintain Jira backlogs, ensuring priorities and deliverables remain aligned across teams • Lead sprint planning activities and support agile delivery processes • Ensure data quality, consistency, and integrity through best practices in data collection, validation, and analysis • Identify and resolve data discrepancies and process gaps proactively • Mentor and support junior analysts by sharing technical expertise, best practices, and collaborative problem-solving approaches • Maintain clear and up-to-date documentation for analytics processes, workflows, and systems

• Serves as an organizational resource in reviewing, understanding, analyzing and using data for the purpose of measuring or improving performance • Leads small projects, and often works multiple complex projects • Confirms project requirements by analyzing user requirements, conferring with others on project team • Analyzes current system/application capabilities for possible solutions to minimize development • Supports, manages, and organizes electronic data according to Kaweah’s policies and standards • Gathers and interprets relevant data and information • Develops and maintains integrated data and uses inductive reasoning supplying strong evidence for solutions/conclusions • Thinks analytically and is a problem solver • Performs structured data requirements analysis and data modeling in support of application development for relational and reporting databases • Works collaboratively as part of a team, as well as independently under own initiative.