ZipRecruiter

Log In

2

Remote Data Analyst Jobs in Rosedale, MD (NOW HIRING)

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

... Poly Remote Type N/A Time Type Full time Description & Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial ...

New

CareFirst

Technical Analyst (Remote)

Baltimore, MD · Remote

Delivers standard system and data analysis and helps with tools and technology implementations for Payment Integrity- clinical editing. Facilitate and coordinate building, document, and review of ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

New

next page

Showing results 1-20

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Rosedale, MD

Remote Data Analyst information

See Rosedale, MD salary details

$32.6K

$79.3K

$130.4K

How much do remote data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data analyst in Rosedale, MD is $79,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Rosedale, MD? The most popular types of Data Analyst jobs in Rosedale, MD are:
What cities near Rosedale, MD are hiring for Remote Data Analyst jobs? Cities near Rosedale, MD with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Rosedale, MD as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $79,263 per year, or $38.1 per hour.

Commercial Data Analyst

USALCO

Baltimore, MD • Remote

Full-time

Posted 15 days ago

USALCO rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

40th of 100 rated chemical manufacturers

Job description

Usalco is the essential catalyst for clean water — and our commercial team is on the front lines of that mission every day. As our Commercial Data Analyst, you will serve as the connective tissue between our ERP system, Salesforce CRM, and the commercial decisions that drive our business forward. The Commercial Data Analyst generates insights and reports for sales and account management teams to make confident decisions.

Key Responsibilities

Reporting & Data Operations

  • Own the commercial reporting layer — pipeline, win/loss trends, customer service metrics, revenue by customer, segment, region, and product
  • Reconcile self-reported new and lost business entries in Salesforce against ERP actuals to improve data integrity and accuracy
  • Build and maintain dashboards in Salesforce and/or Power BI that support daily decision-making for the commercial team
  • Define and audit commercial KPIs; assess customer segmentation to identify and target high-value accounts
  • Maintain customer master data segmentation fields and work with sales to update gaps.
  • Identify root causes of master data quality gaps across the ERP and Salesforce, and work with IT and operations to resolve them
  • Deliver regular commercial performance summaries to commercial leadership with clear, actionable takeaways

Commercial Strategy & Initiative Support

  • Partner with commercial teams to support and track execution of key commercial initiatives — not just own reporting, but drive accountability and visibility into progress
  • Partner with commercial operations on bid optimization and margin defense; support bids and contract reviews by the Senior Leadership Team under existing Delegation of Authority
  • Support pricing analysis, territory performance reviews, and customer growth and churn reporting

Intelligence & Advanced Analytics

  • Leverage best-in-class AI tools to surface deeper commercial insights and accelerate analysis — including predictive modeling and anomaly detection
  • Build a predictive analytics and early warning operating system that enables the commercial team to act on leading indicators, not just lagging results
  • Track and analyze market intelligence and key industry trends at a regional and local level to inform commercial strategy and competitive positioning

Qualifications

Required

  • 4 – 6 years of experience in a commercial, sales operations, or business analyst role
  • Hands-on Salesforce experience — reports, dashboards, and data hygiene — is a must
  • Advanced Excel proficiency; Power Query experience preferred
  • Demonstrated ability to identify and flag data quality issues before they surface in reporting
  • Strong communication skills — able to translate data findings into plain-language business insights

Preferred

  • Experience in specialty chemicals, water treatment, distribution, or industrial manufacturing
  • Proficiency in SQL or Power BI
  • Familiarity with ERP systems and ERP-to-CRM data flows
  • Salesforce Administrator certification or equivalent experience

Performance Expectations

In the first 90 days, you will have mapped the current state of commercial reporting, identified the top five data quality gaps, and delivered at least one new dashboard that the commercial team uses daily. Within six months, the commercial team will spend meaningfully less time on self-built analysis and more time acting on insights.

USALCO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future.

#LI-Remote

What USALCO employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom