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Statistical Reporting Analyst Remote Jobs (NOW HIRING)

Crossing Hurdles

Reporting Analyst | Remote

Manhattan, NY · Remote

$70 - $120/hr

Business Intelligence Analysts Type: Part-time / Project-based Compensation: $70-$120 per hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities Join Mercor's Business Intelligence ...

Elevate Patient Financial Solutions

Reporting Analyst

$65K - $85K/yr

This full-time, remote position offers a standard Monday through Friday schedule, 8:00 AM to 5:00 ... Knowledge of business statistics * Professional, accurate, clear and concise communication and ...

Mathematica

Statistical Analyst (Remote Eligible)

... of reports, including technical appendices, and presentations for colleagues, policymakers and ... data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation ...

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How much do statistical reporting analyst remote jobs pay per year?

As of Jun 6, 2026, the average yearly pay for statistical reporting analyst remote in the United States is $82,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are Statistical Reporting Analysts (Remote)?

Statistical Reporting Analysts (Remote) are professionals who collect, analyze, and interpret data to create reports that help organizations make informed decisions. Working remotely, they use statistical tools and software to identify trends, generate insights, and ensure the accuracy of data-driven reports. Their tasks often include data validation, preparing dashboards, and collaborating with other departments to support business goals. Remote positions offer flexibility, allowing analysts to work from anywhere while maintaining communication with their teams through virtual platforms.

What are some common challenges faced by Statistical Reporting Analysts working remotely, and how can they be addressed?

Remote Statistical Reporting Analysts often face challenges such as managing large datasets securely, coordinating with cross-functional teams in different time zones, and maintaining clear communication regarding reporting requirements. To address these, it's important to use robust data management tools, establish regular virtual check-ins with stakeholders, and document processes thoroughly. Proactively seeking feedback and clarifying project expectations can also help ensure the accuracy and timeliness of reports.

What is the difference between Statistical Reporting Analyst Remote vs Data Analyst?

AspectStatistical Reporting Analyst RemoteData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often within finance, healthcare, or marketing industriesRemote or on-site, across various industries including tech, finance, and healthcare
Employer & Industry UsageUsed by companies needing detailed statistical reports and analysisUsed by organizations requiring data interpretation and insights for decision-making

The main difference is that Statistical Reporting Analysts focus on creating detailed statistical reports using specialized software, often in remote settings within specific industries. Data Analysts have a broader role in interpreting data, creating dashboards, and providing insights, also frequently working remotely. Both roles require similar educational backgrounds but differ slightly in daily tasks and industry focus.

What are the key skills and qualifications needed to thrive as a Statistical Reporting Analyst (Remote), and why are they important?

To thrive as a Statistical Reporting Analyst (Remote), you need strong analytical skills, a solid background in statistics or mathematics, and typically a bachelor's degree in a related field. Familiarity with statistical software (such as SAS, R, or Python), data visualization tools, and advanced Excel functions is commonly required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data findings into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate, meaningful reports that drive data-informed decision-making in a remote work environment.
More about Statistical Reporting Analyst Remote jobs
What cities are hiring for Statistical Reporting Analyst Remote jobs? Cities with the most Statistical Reporting Analyst Remote job openings:
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What job categories do people searching Statistical Reporting Analyst Remote jobs look for? The top searched job categories for Statistical Reporting Analyst Remote jobs are:
Statistical Reporting Analyst Remote jobs near you
Infographic showing various Statistical Reporting Analyst Remote job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,436 per year, or $39.6 per hour.

Reporting Analyst | Remote

Crossing Hurdles

Manhattan, NY • Remote

$70 - $120/hr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Position: Join Expert Network: Business Intelligence Analysts Type: Part-time / Project-based Compensation: $70–$120 per hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities Join Mercor's Business Intelligence Analyst Talent Network to be matched with companies hiring for BI-focused roles Perform SQL-based querying and advanced data analysis Create data visualizations using tools such as Tableau or Power BI Support data modeling and data warehousing initiatives Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles Complete an initial AI interview to become eligible for relevant listings aligned with expertise Requirements Professional experience in business intelligence or data analytics Proficiency in SQL and advanced data querying Experience with data visualization tools such as Tableau or Power BI Knowledge of data modeling and warehousing concepts Ability to support data-driven decision-making initiatives Willingness to complete an AI interview for opportunity matching #J-18808-Ljbffr

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