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Statistical Reporting Analyst Remote Jobs in Valley Stream, NY

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Manage successful Metrics & Reporting Delivery * Perform ad-hoc Analysis that contributes to ...

Reporting to the Commercial Manager, the Analyst is responsible for qualitative and quantitative ... Flexible and hybrid working environment including tailored hours, remote working, career breaks ...

Create and manage self-serve reporting tools and dashboards via Omni to track growth KPIs and ... Strong knowledge of statistical concepts including trend analysis, hypothesis testing, and ...

Remote opportunity! Some Travel required - see details below. The right candidate will live within ... Collaborates with appropriate departments to collect data from multiple reporting systems/sources ...

Our technology allows allocators, sponsors, and service providers to digitize the entire onboarding, investment, and reporting process for alternative investments. Through our open-architecture ...

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Statistical Reporting Analyst Remote information

What is a statistical reporting analyst 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 the key skills and qualifications needed to thrive as a statistical reporting analyst remote?

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.

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 job categories do people searching Statistical Reporting Analyst Remote jobs in Valley Stream, NY look for?

The top searched job categories for Statistical Reporting Analyst Remote jobs in Valley Stream, NY are:

What cities near Valley Stream, NY are hiring for Statistical Reporting Analyst Remote jobs?

Cities near Valley Stream, NY with the most Statistical Reporting Analyst Remote job openings:

Infographic showing various Statistical Reporting Analyst Remote job openings in Valley Stream, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY โ€ข Remote

Part-time

Re-posted 20 days ago


Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized