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Data Analytics Associate Jobs in Redmond, WA (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

We are looking for a Strategy & Analytics Associate for Business Analytics team. Responsibilities ... Preferred Qualifications: - Experience in operations analysis, business analysis, and data analysis ...

The Senior Data Analyst will work with large healthcare datasets, build financial and operational ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

New

The Senior Data Analyst will work with large healthcare datasets, build financial and operational ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

New

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... Requires two years electrical engineering experience, and an Associate Degree in Electrical ...

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Data Analytics Associate information

See Redmond, WA salary details

$3.6K

$7K

$10.1K

How much do data analytics associate jobs pay per month?

As of Aug 2, 2026, the average monthly pay for data analytics associate in Redmond, WA is $7,045.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,391.67 and $7,516.67 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Redmond, WA? The most popular types of Data Analytics jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Data Analytics Associate jobs? Cities near Redmond, WA with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Redmond, WA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $84,542 per year, or $40.6 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 439 rated engineering


Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.

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. 

Mentorship 

  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles. 

Skills and Competencies 

  • 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 

Experience 

  • Typically, a minimum of 2 years’ related work experience in Data Analytics or a related field is required. 

Education 

  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline)is required. 

Salary Range: 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.   

Location A:$71,000 - $96,000Location B:$78,000 - $106,000Location C:$85,000 - $115,000 

You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.  

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. Click here to see our full list of benefits.  

About Brown and Caldwell   

Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com  

This position is subject to a pre-employment background check and a pre-employment drug test.   

Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment 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, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.    

Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.


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