Safety Data Analyst

COMPANY OVERVIEW

Moss is a national privately held construction firm providing innovative solutions resulting in award-winning projects. With regional offices across the United States, Moss focuses on construction management, solar EPC, and design-build. The company’s diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports. Moss is ranked by Engineering News-Record as the nation’s top solar contractor and one of the top 50 general contractors. Moss prides itself on a strong entrepreneurial culture that honors safety, quality, client engagement, and employee development. Its employees consistently rank Moss as one of the best places to work.

POSITION SCOPE AND ORGANIZATIONAL IMPACT

Moss’ Data Analyst for Enterprise Safety group supports Moss’s growing data and reporting needs by maintaining, enhancing, and optimizing existing reporting systems, dashboards, and data tools that support business operations and strategic decision making across the organization. This role is designed for an eager to learn junior analyst who is analytical, detail oriented, and motivated to grow technical and business intelligence skills in a fast-paced environment.

This role will focus on maintaining, supporting, troubleshooting, and enhancing existing reports, dashboards, and recurring data processes to ensure data integrity, usability, and operational continuity, while also developing new reports, building data tools, supporting process improvements, and contributing to special projects that enhance business visibility, efficiency, and operational performance.

This position will work cross-functionally with business leaders, operations teams, safety, fleet, finance, and technology stakeholders to deliver meaningful reporting solutions and actionable insights.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

• Maintain, monitor, and troubleshoot existing dashboards, reports, and recurring data workflows

• Ensure data accuracy, consistency, and integrity across reporting platforms

• Identify reporting inefficiencies and recommend process improvements

• Update existing reports based on changing business needs, operational metrics, and leadership requests

• Assist in validating data sources, calculations, and reporting logic

• Support users with report access, interpretation, and troubleshooting questions

• Monitor automated reporting processes and resolve data refresh or workflow issues

• Document report structures, data definitions, and reporting procedures for consistency and sustainability

• Partner with internal teams to ensure reporting remains aligned with operational goals

• Analyze trends, patterns, and anomalies in operational data and summarize finding for leadership

• Translate raw data into clear, actionable business insights

• Assist departments in defining meaningful metrics and success measurements

• Support data quality initiatives by identifying incomplete, inconsistent, or inaccurate records

• Develop new dashboards, scorecards, and analytical reports to support strategic initiatives

• Build data models, reporting tools, and automated solutions that improve efficiency

• Assist with ad hoc analysis requests and executive-level reporting needs

• Participate in cross-functional projects involving data collection, reporting modernization, and business intelligence initiatives

• Support data migration, cleanup, and system implementation projects

• Research and recommend new tools, automation opportunities, and reporting enhancements

• Assist in building scalable reporting solutions that can grow with the business

• Identify repetitive manual reporting tasks and recommend automation opportunities

• Assist in streamlining data collection, reporting workflows, and dashboard refresh processes

• Support development of scalable reporting processes that reduce manual effort and increase accuracy

• Participate in testing and validation of new reporting tools, automation, and system integrations

• Perform other duties as assigned

EDUCATION AND WORK EXPERIENCE

• Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Finance, or related field preferred

• 2 to 4 years of experience in data analysis, reporting, business intelligence, or related analytical role

• Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis functions

• Experience with Power BI, Tableau, SQL, or similar reporting/visualization platforms preferred

• Exposure to Python, R, automation tools, scripting, or ETL processes is a plus

• Understanding of data structures, relational databases, and reporting logic

• Experience developing dashboards, scorecards, KPI reporting, and business reporting solutions preferred

• Strong analytical and problem-solving skills with attention to detail

• Ability to organize information, manage priorities, and meet deadlines

• Self-starter mindset with willingness to learn new systems, tools, and business processes

• Positive attitude, strong work ethic, and desire for professional growth

• Experience with Power BI, SQL, or Python for data analysis preferred

• Familiarity with ERP, fleet, safety, operational, or construction-related data systems is a plus

• Exposure to dashboard development and KPI scorecards, forecasting, and trend analysis

• Experience working with cross-functional teams to define reporting requirements and develop business solutions

• Interest in data automation, predictive analytics, or process optimization

• Experience with Power Query, Power Pivot, DAX, or similar advanced analytic tools is highly desirable

JOB TITLE: DATA ANALYST - SAFETY

JOB LOCATION: FORT LAUDERDALE, FL, OPEN TO REMOTE

CLASSIFICATION: FULL TIME – EXEMPT – SALARIED

REPORTS TO: SAFETY MANAGER – DATA ANALYTICS AND REPORTING

Moss is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.