• Be seen as expert in LCA modelling for electronics, pharma, renewable materials, textiles, construction or similar sector • Help to coordinate the according dataset sector upgrade • Contribute to the development of data-on-demand datasets as well as external client projects • Work according to the process based on the “Scrum” methodology updating and creating content for the MLC databases • Support customer inquiries and information requests • Support the planning of own work • Drive AI and other tool usage to improve data management

Role Description As a Data Analyst at USFS, you will be a key member of a team supporting federal clients. The role focuses on data analytics, report generation, and providing operational support as directed by the client. You will use your expertise in data analysis, particularly with Tableau and Power BI, to deliver insights and visualizations that support decision-making processes. There are multiple openings ranging from junior to senior data analyst positions. Key Responsibilities - Data Analytics and Visualization: Provide analytical support, including the development of dashboards and reports using Tableau or Power BI. - Strategic Modeling and Metrics: Offer strategic modeling, metrics, and analytical support to various U.S. Government agencies. - Cost Modeling Services: Support cost modeling and cost-benefit analysis for various projects. - Program Objective Memorandum (POM) Process Support: Assist in the POM process, offering data-driven insights. - Business Process Improvement: Analyze and improve business processes using data analytics. - Interactive Customer Evaluation (ICE) Support: Provide analytical strategy and support for ICE initiatives. - Records Management and Compliance: Manage records data, including FOIA declassification and records scheduling. - Training Reports: Generate monthly training reports, including supervisory training for both military and civilian personnel. Qualifications - Education: Bachelor’s degree in a technical discipline is highly preferred. - Experience: 3 to 8 years of relevant professional experience in data analytics or a related field. - Technical Skills: - Proficiency in Tableau and/or Power BI for dashboard creation and data visualization. - Proficiency in SQL for data querying and manipulation. - Python or other programming languages is a plus. - Strong skills in MS Excel for data analysis and modeling. - Soft Skills: - Excellent communication skills, with the ability to present complex data insights clearly. - Strong analytical and problem-solving skills. - Ability to work collaboratively within a team and across different departments. Requirements - U.S. Citizenship is required. - DoD Secret Clearance required. Benefits - Employer-provided paid Medical / Dental / Vision insurance. - Employer matching 401K plan. - PTO - 11 Federal Holidays - Additionally voluntary benefits to include Short / Long Term Disability, Term Life, and AD&D Insurance.

• Design, build, and maintain Power BI dashboards and business reports for different departments. • Work closely with business users to understand reporting requirements and translate them into clear dashboards and analytics solutions. • Build reports related to trading activity, client performance, sales performance, revenue, deposits, withdrawals, account status, and operational KPIs. • Develop clean and scalable data models in Power BI using Power Query and DAX. • Ensure reports are accurate, consistent, and aligned with business definitions and KPIs. • Support Finance, Sales, Operations, Compliance, and Management teams with reporting and data analysis requirements. • Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. • Work with data engineering or database teams to understand data sources and improve reporting reliability. • Optimize Power BI reports for better performance, usability, and refresh efficiency. • Document report logic, KPIs, data sources, and business definitions. • Support ad hoc analysis and business requests when required.

Role Description The Data Analyst is responsible for the conception and creation of reports, data visualizations, and data summarization/analysis within BI software suites. This role executes the entire data analytics life cycle for their projects including: - Meeting with business stakeholders - Gathering requirements/discovery - Data preparation/cleaning - Building reports visualizations - Communicating results - Operationalization - Ongoing updates to existing products These projects span business stakeholders across the company (e.g. recruiting, financial, operations, clinical, IT, etc.). The Data Analyst works closely with the data BI team, end users, and developers. Qualifications - 2 years of experience in BI/reporting - 2 years of experience creating data visualizations in BI reporting suites (e.g. Qlik, PowerBI, Tableau, Domo, etc.) - 2 years of Advanced Excel experience - Basic understanding of SQL (i.e. basic functions: select, joins, group by, filtering, etc.) - Experience converting business requirements into actionable insights through data cleaning, interpretation, and interactive reporting/visualizations - Ability to work independently and make decisions in accordance with established policies and regulations - Ability to effectively work in fast-paced and complex environment, maintaining a sense of urgency - Will accept any suitable combination of education, training, and experience Requirements - Understanding of Python/R including pertinent data analysis libraries (e.g. for Python: jupyter notebook, sklearn, matplotlib, numpy, pandas, etc.; for R: Rstudio, tidyverse, caret, etc.) - Advanced knowledge of SQL (i.e. with clause, partition by, subqueries, etc.) - Knowledge of statistics and predictive modeling including, but not limited to linear regression – including the interpretation of residuals, logistic regression, unsupervised learning techniques, supervised learning techniques, ANOVA, and t-test, and the ability to interpret these outputs and present them to business stakeholders - Undergraduate degree in Mathematics, Computer Science, Statistics, Decision Science, or related field Benefits - $71,000 - $82,000 per year - Benefits (Start Day 1!): - Medical, Dental, Vision - Company Paid Life Insurance - Long-Term Disability and Short-Term Disability - Accident, Critical Illness - Legal Assistance, Identity Protection, Pet Coverage - Retirement Plan with Employer Match - Generous vacation plan + 8.5 paid holidays Core Values - Own Your Relationships – Be someone others can count on - Own the Outcome – Deliver results through accountability and follow-through - Obsess Over the Experience – Make every interaction meaningful - Act with Integrity & Respect – Do what’s right, always