Analytics Engineer

• Champion the development of canonical, single-source-of-truth golden data assets that serve Customer Success teams across, Customer Support, Digital Success, Training, Certifications, Success Guides and Architects.
• Build self-serve data capabilities that empower users to access, explore, and act on trusted data with minimal friction
• Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
• Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
• Own the target-setting process and success metrics for the CS portfolio, using data to demonstrate impact, ROI and continuously raise the bar
• Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
• Influence external product roadmap with best internal practices through effective storytelling, clear documentation, enablement programs, and change management
• Data Instrumentation & Strategy: Defining what data needs to be collected to measure product success.
• Data Governance & Ethics: Managing data privacy (GDPR/CCPA) and ensuring the ethical use of AI/ML models.
• Defining "North Star" Metrics: Moving beyond vanity metrics to find the data points that actually correlate with long-term growth.

Senior Analytics Engineer

• Design, develop, and optimize ETL processes and Power BI reports/dashboards supporting enterprise analytics needs
• Collaborate with business stakeholders to understand reporting requirements and KPIs; translate them into technical specifications
• Build data models and relationships to ensure accurate, scalable, and performant reports
• Automate data pipelines for data refresh, transformation, and integration workflows
• Develop and implement best practices for data security, access control, and documentation
• Monitor report performance, troubleshoot issues, and optimize visualizations for usability and efficiency
• Support data governance efforts, audit compliance, and documentation standards
• Stay current with advances in Power BI, data management, and analytics technologies, sharing best practices with the team

Power BI, ETL Developer – Data Modeling, Cloud Integration

• Assist in analyzing business processes
• Support development of business requirements
• Document analysis processes
• Perform basic data analysis
• Collaborate with senior analysts.

SAS ETL Developer

• Champion the development of canonical, single-source-of-truth golden data assets that serve Customer Success teams
• Build self-serve data capabilities that empower users to access, explore, and act on trusted data with minimal friction
• Partner with leadership across the company to identify and prioritize the highest-value opportunities
• Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as key partners in Analytics & Data Science to ensure data products are scalable and reliable
• Own the target setting process and success metrics for the CS portfolio
• Establish and evolve product development practices across the team
• Influence external product roadmap with best internal practices through storytelling, clear documentation, enablement programs, and change management
• Data Instrumentation & Strategy: Defining what data needs to be collected to measure product success
• Data Governance & Ethics: Managing data privacy (GDPR/CCPA) and ensuring the ethical use of AI/ML models.
• Defining 'North Star' Metrics: Moving beyond vanity metrics to find the data points that correlate with long-term growth

Lead Analytics Engineer

• Design, develop, and maintain interactive dashboards and reports using Power BI, Tableau, or Looker.
• Create optimized data models, DAX calculations, KPIs, and measures for enterprise reporting solutions.
• Develop and maintain complex SQL queries, stored procedures, and database objects for analytics and reporting.
• Use Python for scripting, automation, data processing, and workflow optimization.
• Build and manage ETL/ELT pipelines using dbt, Fivetran, Airflow, or similar transformation tools.
• Collaborate with data engineering teams to design scalable and efficient data pipelines and analytics solutions.

Power BI, Data Analytics Engineer

• Build identity risk dashboards, control scorecards, or maturity models in large enterprises.
• Analyze identity data and derive insights from multiple systems.
• Visualize identity controls and risks through dashboards using platforms like Power BI, Tableau, Grafana, or Kibana .
• Collaborate across Risk, Compliance, IT Ops, and Business teams to enhance data quality.

Lead Cybersecurity – Identity Analytics Engineer

• Design, develop, and deploy ETL workflows using Informatica IICS (Cloud Data Integration)
• Build scalable data pipelines integrating multiple data sources (databases, APIs, flat files)
• Implement data transformations, cleansing, and enrichment logic
• Optimize ETL jobs for performance and scalability
• Design and execute test strategies, test cases, and test plans for ETL workflows
• Perform source-to-target data validation and reconciliation
• Develop automated and reusable validation queries/scripts
• Implement and monitor data quality rules and checks
• Identify, log, and track defects; ensure timely resolution
• Collaborate with business analysts, data architects, and stakeholders to understand requirements
• Participate in UAT support, release validation, and production verification
• Ensure adherence to data governance and data quality standards
• Maintain detailed technical and test documentation
• Contribute to continuous improvement of ETL and QA processes

QA Developer, ETL

• Develop interactive dashboards and reports using tools like Power BI or Tableau
• Translate business requirements into scalable data models and reporting solutions
• Implement and validate complex business logic within reporting layers
• Write and optimize advanced SQL queries for data extraction and transformation
• Work with Snowflake (or similar cloud data warehouses) for data sourcing
• Support User Acceptance Testing (UAT), including defect resolution and enhancements
• Collaborate with business stakeholders, data engineers, and QA teams
• Maintain and enhance existing BI solutions for performance and usability

BI Analytics Developer

• Developing and augmenting existing reports written within an angular framework running over MS SQL Server
• Developing and Maintaining JavaScript Angular front-end scripts
• Connecting and utilizing in-house design frameworks and services
• Supporting various stakeholders to ensure consistency within the environment, release management, and the effective use of standards and best practices.

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