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Remote Data Analysis Jobs in Riverside, CA (NOW HIRING)

The ideal candidate will have a strong foundation in data analysis, reporting, and process ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Data Engineer - REMOTE

Corona, CA · Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

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Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Riverside, CA? The most popular types of Data Analysis jobs in Riverside, CA are:
What are popular job titles related to Remote Data Analysis jobs in Riverside, CA? For Remote Data Analysis jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Data Analysis jobs? Cities near Riverside, CA with the most Remote Data Analysis job openings:
Advisor, Management Data Analysis

Advisor, Management Data Analysis

Hill International

Pomona, CA • Remote

$110K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Hill International is seeking an Advisor, Management Data Analysis in Pomona, California 

Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com.

Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.

Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com.

Hill International is an Equal Opportunity Employer/Veteran/Disabled
Note: This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.

IER Right to Work Poster

E-Verify Participation Poster

  • A combination of education, training, and experience, generally equivalent to those typically possessed by a 4year college graduate (from accredited institution in applicable profession, business, or science/technology/engineering/math). 
  • Bachelor's degree in Computer Science, Information Systems/Technology, Data Analytics, or a related discipline, or equivalent combination of education, training, and experience.
  • 7+ years of experience designing and delivering data engineering solutions.
  • Experience using Microsoft Office, Business Intelligence tools, SAS, and SAP.
  • Expert level Excel skills, including Power Query.
  • Knowledge of utility business operations.
  • Advanced proficiency in SQL preferred.
  • Lean Six Sigma Black Belt certification preferred.
  • Must be local to Southern California.
  • Remote position; but requires frequent mandatory meetings in Pomona, CA.


    The salary range for this position is $110,000 - $130,000. The offered salary will be based on the applicants qualifications, education, experience and work location.

Depending upon your employment status, Hill's comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program.

  • Apply advanced expertise in modeling, forecasting, and economic analysis, applying statistical, algorithmic, and economic methods to solve complex business problems and quantify performance.
  • Apply advanced experience to develop dashboards and visualization solutions using Power BI, Excel, SAS, and other BI tools.
  • Develop reports, metrics, insights, and executive ready narratives that translate analytical results into operational and strategic decision support.
  • Design, develop, and maintain end to end data engineering and data management solutions, including ETL, data modeling, data warehouses, and preparation of large, complex datasets for analytical and predictive use.
  • Understands the data to help identify patterns, trends, and opportunities to drive continuous improvement through process, upgrades, reporting features, and/or formats.
  • Conduct in-depth analysis of project data.
  • Create and maintain clear technical documentation and provide data and analytical support to executives, managers, and cross functional operational teams.