Associate Data Analyst

Responsibilities

• Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys).
• Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality.
• Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions.
• Organize raw data into structured formats—such as data tables, CSV files, or relational databases—making it accessible and ready for analysis by analysts, data scientists, and business stakeholders.
• Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets.
• Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts.
• Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention.
• Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers.
• Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel.
• Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server.
• Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines.
• Collaborate with cross-functional teams—including marketing, product, finance, and operations—to understand their goals and translate them into data requirements.
• Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports.
• Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues.
• Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members.
• Flexibility to adapt and execute various additional assignments based on evolving needs.

Qualifications

• 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)
• Skilled in cleaning, validating, and transforming large datasets
• Excellent communication skills for presenting data to non-technical stakeholders
• Collaborative mindset with experience working across departments
• Detail-oriented with a focus on data accuracy and consistency
• Knowledge of data governance, metadata management, and quality assurance practices
• Understanding of data privacy and compliance standards (e.g., GDPR, CCPA)
• Ability to identify process inefficiencies and recommend improvements
• Experience supporting senior analysts with modeling, forecasting, and reporting

About the role

Brown and Caldwell is a full-service environmental engineering and construction services firm headquartered in Walnut Creek, California. Founded in 1944, we have over 2,100 professionals across North America and the Pacific. We strive to be the company of choice for our clients and employees alike, offering exceptional quality, collaboration, and innovation.

Pay

The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future.

Schedule

Details regarding the schedule are not specified in the job posting.

Benefits and Other Compensation

• We provide a comprehensive benefits package that promotes employee health, performance, and success which includes 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 and long-term care insurance.

Notice to Third Party Agencies

We do not accept unsolicited resumes from recruiters or agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, we reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

Equal Opportunity Employer

Brown and Caldwell is proud to be an EEO/AAP Employer. We encourage protected veterans, individuals with disabilities, and applicants from all backgrounds to apply.