STV Inc seeks a Data Analyst/Data Engineer to support a Mission Critical project in managing and analyzing project data to enhance decision-making for the Meta Prometheus AI infrastructure projects. This role will be integral in developing data-driven insights, optimizing reporting processes, and ensuring data integrity across project management systems. The Data Analyst will receive structured onboarding and mentorship to progressively build expertise in data analytics, visualization, and process automation within the project.

Responsibilities

Design analytics frameworks for contingent workforce performance tracking, demand forecasting, and supply allocationAnalyze and redesign vendor onboarding workflows; develop automated validation systems using Python/RLeverage Generative AI and LLMs to automate data quality checks, generate insights summaries, and enhance reporting efficiencyDefine and implement Right First Time (RTFT) measurement frameworks for project performance analysisBuild ETL pipelines integrating data from vendor platforms, and common data environmentsDevelop PowerBI and Tableau dashboards for workforce utilization, quality metrics, and project KPIsConduct root cause analysis on performance variations and create predictive models for quality issuesAssess and optimize existing tooling landscape; design automated workflows to eliminate manual processes

Required Qualifications

Bachelor’s degree1+ years in data analysis/engineering, preferably supporting infrastructure or construction projectsStrong proficiency in Excel, SQL, PythonR, and PowerBIExceptional skill in transforming complex data into compelling narratives, with proven ability to present insights at conferences and stakeholder meetingsStrong problem-solving skills with experience handling large datasets from multiple sourcesEngage directly with clients to understand their needs and respond effectively to impromptu requests for data analysis and reportingHands-on experience integrating multiple data sources into unified reporting solutionsExperience with data pre-processing of both structured and unstructured information

Preferred Qualifications

Master's/Ph.D. in in Data Analytics, Information Systems, Computer Science, Engineering, or related field.Experience with infrastructure, or large-scale construction projects and programsKnowledge cloud platforms (AWS/Azure/GCP/DataBricks), modern data tools (Airflow, dbt)Background in workforce planning, forecasting models, or supply chain analyticsPowerBI and Tableau Report Builder proficiency and data governance and reporting compliance standardsDemonstrated ability to work independently while collaborating effectively with diverse teamsFamiliarity with geospatial analytics and mapping visualization techniquesProficiency with PowerBI Report Builder for creating custom reporting solutionsDocument analytical methodologies for knowledge

Compensation Range:

$71,981.92 - $95,975.90

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (9 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.