
1001 - 5000 employees
Founded 1947
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • Healthcare
Brown and Caldwell is an environmental engineering and consulting firm focused on water and wastewater systems, providing end-to-end solutions from design and construction management through operations, treatability testing, pilot demonstrations, and digital optimization. The company specializes in membrane and advanced water-treatment technologies (including potable reuse and PFAS/emerging contaminant solutions), climate change resilience, utility performance, and research and innovation to serve utilities, municipalities, and industrial clients. Brown and Caldwell combines field services, laboratory work, and digital tools (e. g. , BC:Opta™) to improve water stewardship, sustainability, and infrastructure performance.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $71k - $115k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 1947
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • Healthcare
Brown and Caldwell is an environmental engineering and consulting firm focused on water and wastewater systems, providing end-to-end solutions from design and construction management through operations, treatability testing, pilot demonstrations, and digital optimization. The company specializes in membrane and advanced water-treatment technologies (including potable reuse and PFAS/emerging contaminant solutions), climate change resilience, utility performance, and research and innovation to serve utilities, municipalities, and industrial clients. Brown and Caldwell combines field services, laboratory work, and digital tools (e. g. , BC:Opta™) to improve water stewardship, sustainability, and infrastructure performance.
• Perform data analytics for informed decision making, dashboards, report generation and overall project support • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts • Organize raw data into structured formats and make it accessible and ready for analysis • Conduct exploratory data analysis using statistical techniques • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or Excel charts • Translate analytical findings into actionable insights that support strategic initiatives • Respond to data-related inquiries from business units by investigating root causes • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance • Write efficient SQL queries to extract, join, filter, and aggregate data • Leverage programming languages like Python or R to automate data workflows • Collaborate with cross-functional teams to understand their goals and translate them into data requirements • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules • Monitor data integrity by reporting discrepancies and resolving issues with IT teams • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills
• a minimum of 2 years’ related work experience in Data Analytics or a related field • Proficiency in SQL for data extraction, transformation, and analysis • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) • Ability to perform exploratory data analysis and identify actionable insights • Familiarity with Python or R for data manipulation and visualization (preferred) • Knowledge of data governance, metadata management, and quality assurance practices • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA)
• medical • dental • vision • short and long-term disability • life insurance • an employee assistance program • paid time off and parental leave • paid holidays • 401(k) retirement savings plan with employer match • performance-based bonus eligibility • employee referral bonuses • tuition reimbursement • pet insurance • long-term care insurance
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