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Day Environmental Data Analyst Jobs (NOW HIRING)

Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ... Navigate and utilize modern cloud environments, specifically Google Cloud Platform (GCP) and Big ...

Managing and designing the reporting environment, including data sources, security, and metadata ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

Ability to manage multiple priorities in a fast-paced environment. * Excellent written and verbal ... 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a ...

New

Junior Data Analyst

El Paso, TX · Hybrid

$35K - $60K/yr

Skilled at multi-tasking in a fast-paced environment while maintaining clear communications with ... Must be local to El, Paso TX or willing to drive on site 5 days a week. * Applicants selected will ...

Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ... Navigate and utilize modern cloud environments, specifically Google Cloud Platform (GCP) and Big ...

Data Analyst

Charlotte, NC · On-site

$80K - $100K/yr

The Data Analyst will serve as a key team member in successfully serving our internal team members ... Environment Three weeks of Paid Time Off (PTO) Annual Volunteer Day 12 Paid Holidays Per Year ...

New

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ... environment. * Must be in-person in Washington, D.C. 5 days a week. * Must have or be able to ...

Data Analyst

Boston, MA · On-site

$32 - $42/mo

Managing and designing the reporting environment, including data sources, security, and metadata ... Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer ...

Chicago, IL/Hybrid, 3 days in-office and 2 days remote Classification: Full-Time /Exempt Who We Are ... The Data Analyst role delivers enterprise data analytics and business intelligence to support ...

This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data management functions.

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment. * Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The ... in a timeline-driven environment • Advanced business acumen with technical aptitude • ...

... environment. Professional Level Information An Engineer, 2 has a good understanding of the software ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

Data Analyst

Lewes, DE · On-site +1

Description Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and ... Ability to work independently and collaborate effectively in a team environment. * Excellent ...

Data Analyst Location: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description ... Additional in-person days may be necessary for meetings with clients. Parking is free at our ...

You are naturally curious, malleable in your approach, and don't mind if every day looks a little ... Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ...

Do you thrive in a fast-paced environment where your insights and organizational skills make a real impact? Construction Execs is seeking a motivated and analytical Executive Assistant/Data Analyst ...

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Day Environmental Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do day environmental data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for day environmental data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Day Environmental Data Analyst vs Night Environmental Data Analyst?

AspectDay Environmental Data AnalystNight Environmental Data Analyst
CertificationsEnvironmental Science, Data Analysis certificationsEnvironmental Science, Data Analysis certifications
Work EnvironmentStandard daytime hours, office or fieldworkEvening/night shifts, field or lab work
Industry UsageCommon in environmental agencies, consulting firmsLess common, specialized roles in 24-hour operations

The Day Environmental Data Analyst typically works during regular daytime hours, focusing on data collection, analysis, and reporting within standard business environments. The Night Environmental Data Analyst, on the other hand, operates during evening or night shifts, often in 24-hour facilities or emergency response scenarios. Both roles require similar credentials and are used across environmental agencies and consulting firms, but their work hours and shift timings differ.

What cities are hiring for Day Environmental Data Analyst jobs? Cities with the most Day Environmental Data Analyst job openings:
What are the most commonly searched types of Environmental Data Analyst jobs? The most popular types of Environmental Data Analyst jobs are:
What states have the most Day Environmental Data Analyst jobs? States with the most job openings for Day Environmental Data Analyst jobs include:
Data Analyst

Data Analyst

OneMagnify

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
The Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and performance reporting, campaign and marketing analytics, dealer and customer insights, and the creation of dashboards and data visualizations to enable clear and effective consumption of data.
The Impact You'll Have:
In this role, you will conduct both strategic and ad hoc analyses to support overall business strategy, inform day-to-day decisions, and provide deeper insight into customer behavior, marketing effectiveness, and business performance trends, both historical and forward-looking. You will partner closely with business stakeholders to identify analytical needs, understand key challenges, and translate business questions into actionable insights while collaborating with data and analytics teams to deliver impactful results.
What You'll Do
  • Serve as the organization's Power BI subject matter expert, designing, developing, and optimizing enterprise-grade dashboards, reports, and data models that support critical business decisions.
  • Establish Power BI best practices, governance standards, and reporting frameworks to ensure consistency, scalability, and data accuracy across all business reporting.
  • Lead requirements gathering sessions with stakeholders to translate complex business needs into intuitive Power BI dashboards and self-service analytics solutions.
  • Optimize Power BI performance through advanced data modeling, DAX calculations, report tuning, and efficient integration with BigQuery and other data sources.
  • Develop and deliver sales, marketing, and business performance reporting through advanced Power BI dashboards, data models, and visualizations that enable self-service analytics and data-driven decision making.
  • Analyze campaign performance, customer behavior, and business trends to generate actionable insights and recommendations
  • Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and future forecasting
  • Partner with business stakeholders to understand key challenges, define analytical needs, and translate business questions into data driven solutions
  • Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ensure accurate and efficient data processing
  • Build and maintain performance metrics and reporting frameworks for service, customer, and program analytics
  • Present findings and insights through clear visualizations, reports, and presentations to both technical and non-technical audiences while collaborating with multi-functional teams
  • Navigate and utilize modern cloud environments, specifically Google Cloud Platform (GCP) and Big Query, to manage large-scale data operations.
  • Proactively identify and resolve data quality issues, partnering with business owners to fix problems at the source rather than just managing symptoms.
  • Translate technical solution concepts into clear, simple narratives that help clients and internal teams understand the "so what" behind the numbers.
  • Develop scripts and automated workflows to replace manual reporting, increasing the speed and accuracy of our analytic delivery.
  • Continuously evaluate and adopt new technologies to keep our analytics stack efficient and forward-looking.
  • Partner with strategy and delivery teams to align your analytic deliverables with the client's broader business goals and evolving needs.
  • Participate in client-facing status meetings, providing technical clarity and progress updates that build trust and project momentum.
  • Work within a distributed team to maintain high standards of accuracy and quality across different time zones and project phases.

What You'll Need
  • A degree in a quantitative field (Statistics, Math, CS, Economics, Physics) or equivalent technical experience.
  • 2+ years of experience in data analysis, with a proven track record in data wrangling, modeling, and measurement.
  • 2-4+ years of hands-on Power BI development experience with a proven track record of building executive-level dashboards, KPI frameworks, and scalable reporting solutions.
  • Experience developing and maintaining enterprise reporting solutions, KPI frameworks, and business performance dashboards within Power BI.
  • Background in financial analytics or experience working within integrated marketing, digital agency, or consulting environments.
  • Strong communication skills with the ability to explain complex data concepts to non-technical peers and leadership.
  • Inventive and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed
  • Highly self-motivated, with the ability to work independently and collaborate
  • Strong oral and written communication skills (English) -Strategic and clear thinking to translate discreet and sophisticated ideas to get results
  • Attention to detail with a strong aim to implement common standards
  • Excellent Data Wrangling skills - Ability to query, join, manipulate data (e.g., create new variables as needed), automate processes.
  • Experience analyzing business and marketing program performance (e.g., response, sales, incremental sales, net profit, customer profiling)
  • Expert-level Power BI experience, including advanced dashboard development, data modeling, DAX, report optimization, workspace management, security implementation, and best practice governance. Strong knowledge of SQL, BigQuery, Alteryx, GCP, Qlik, AI tools, and Microsoft Office.

Future-Ready Skills (Nice to Have)
  • Familiarity with automotive services, vehicles sales, parts business, subscription services, loyalty program data, etc. (not required)
  • Experience meeting with clients directly to understand business needs and discuss findings.
  • Ability to organize findings for business consumption create PowerPoints containing graphs and insights
  • Knowledge of Python or R for advanced statistical modeling or process automation.

Benefits
We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal-opportunity employer and actively search for like-minded people to join our team.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.