• Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities. • Support senior data scientists with model inputs, backtesting, validation, and performance analysis. • Monitor forecast accuracy, bias, and overall health of forecasting solutions. • Analyze data quality issues and understand business drivers. • Build analytical datasets and reports to support forecasting and supply chain planning. • Develop dashboards and KPI reporting using Power BI or similar analytics platforms. • Collaborate with business teams and data scientists to improve decision-making. • Automate recurring analysis using SQL and Python. • Ensure strong data governance and reliable data availability.

• Lead Data Analyst needed in New York, NY and various unanticipated locations throughout the U.S. Utilize the power of solutions that can be driven through Visualization and ETL tools. • Establish connection with different teams to evaluate the automation and service management offerings Python can bring in. • Drive discussions with various teams to foresee opportunities to unify the operations console across businesses. • Implementation of Customer Dashboard and Reports for real-time performance view of SLA. • Work on SQL Server (or client specific RDBMS) developing customized codes and testing. • Responsible for creating operational insights for telecom network related data from Fuze and integrate with other data sources to identify revenue growth/cost optimization/operational efficiency opportunities. • Interpret data and define new KPIs for data analysis from multiple sources. • Use data visualization and other data-gathering methods to either provide internal strategic direction or guide decisions for other teams for new tower builds, OFS analysis, Fallout analysis, compliance and usage adoption. • Work on acquiring data from primary or secondary data sources and preserve the data integrity of these sources using SQL, Python and other analytical tools. • Create powerful data visualizations using tools like Tableau and Looker. Focus on the overall service quality and timely execution of the project. • Active participation and contribution to all service improvement initiatives to ensure they are aligned to our customers’ expectations. • Successfully implement multiple Analytics/IT projects by providing the technology knowledge and vision to support the company’s business objectives and evaluate and recommend all software for business processes. • Be accountable for all aspects of service delivery in conceptualization, planning, design, automation, transition, and delivery. • Understand clearly operational definitions for all processes; understand how to measure all critical data points in the processes, improve any irregularities reported because of the Metrics Dashboards. • Proactively initiate Process Improvements keeping in mind inputs from Audit Process. Manage Process & Framework.

Role Description AMDEX is seeking an experienced Data Engineer & Analyst to join our dynamic team supporting a federal client. This position serves as a hybrid data engineer and data analyst, responsible for design, configuration, integration, and operational support of enterprise analytics systems. This role focuses on implementing secure, scalable data pipelines and structured data assets across multiple platforms, including Palantir Foundry, Azure data services, Databricks, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining the capability to support applied analytics workflows when required. Key Responsibilities - Design, build, and integrate secure data workflows across Palantir Foundry, Azure Data Factory, Databricks, and SQL Server environments - Develop and maintain structured datasets, data models, and schema designs supporting reporting and surveillance analytics - Build, optimize, and maintain ETL/ELT pipelines supporting analytics and operational workloads - Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools - Perform performance tuning, troubleshooting, and operational monitoring across analytics and database platforms - Support the operationalization of analytics workflows into repeatable, production-ready processes Qualifications - Advanced experience working with R and Python - Advanced experience writing and optimizing queries for SQL server - Knowledge of public health, socioeconomic, and demographic datasets and variables - Knowledge of statistical concepts, such as random sampling, basic analysis, and data suppression - Ability to obtain and maintain a Government suitability clearance - Working knowledge of SAS statistical analysis programming is a plus, but not required Benefits - Medical | Dental | Vision (Base plan employee premiums 100% company paid) - Employer Paid Life and Disability Insurance, STD and LTD - Employee Assistance Plan and Employee Discounts - 11 Federal Holidays - PTO accrual with carryover - 401(k) Plan with company match - Flexible Spending Accounts: Medical, Dependent, Transit - Tuition Reimbursement & Training Assistance

• Create and maintain dashboards and reports that track key success metrics. • Analyze customer and prospect behavior, product usage, and retention data to drive company strategy. • Partner with GTM and Product teams to create and implement initiatives that enhance onboarding, engagement, and customer satisfaction. • Collaborate with Finance to build models and forecasts that inform strategic decisions. • Plan, manage, and deploy customer and/or prospect territories. • Effectively communicate data-driven findings and strategic recommendations to key stakeholders. • Design and implement process improvements to drive scalability.