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Excel Research Jobs (NOW HIRING)

Murphy Research

Senior Research Manager

Los Angeles, CA · On-site

$95K - $120K/yr

Murphy Research is a full-service custom market research firm known for our innovative research ... Word, Excel, & Powerpoint will certainly come in handy! (bonus points for skills in SPSS, R ...

Murphy Research

Senior Research Manager

Los Angeles, CA · On-site

$95K - $120K/yr

Murphy Research is a full-service custom market research firm known for our innovative research ... Word, Excel, & Powerpoint will certainly come in handy! (bonus points for skills in SPSS, R ...

Hazen Research Inc

Research Technician

Golden, CO · On-site

$23 - $29/hr

About the Company Hazen Research, Inc. is an independent industrial research and development (R&D) ... Familiar with Microsoft Office (specifically Excel and Word) * Ability to lift up to 70 lbs. on ...

Aurora Energy Research

Research Associate

Austin, TX · On-site

Research Associate Department: Research Employment Type: Permanent - Full Time Location: Austin ... Competence in advanced data analytics (e.g., Python, R, Matlab, Advanced Excel) * Strong academic ...

Aurora Energy Research

Research Associate

Austin, TX · On-site

Research Associate Department: Research Employment Type: Permanent - Full Time Location: Austin ... Competence in advanced data analytics (e.g., Python, R, Matlab, Advanced Excel) * Strong academic ...

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Excel Research information

What are the key skills and qualifications needed to thrive as an Excel Research Analyst, and why are they important?

To excel as an Excel Research Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid understanding of Microsoft Excel functions and data management, often supported by relevant coursework or experience. Familiarity with advanced Excel tools such as PivotTables, VLOOKUP, and data visualization add-ons, as well as certifications like Microsoft Office Specialist, are highly beneficial. Attention to detail, problem-solving abilities, and clear communication are crucial soft skills that help ensure accuracy and effective reporting. These skills and qualities are essential for transforming raw data into actionable insights and supporting informed business decisions.

What are some common challenges faced in an Excel Research role, and how can they be overcome?

A common challenge in an Excel Research role is managing and analyzing large, complex datasets while maintaining data accuracy. This often requires advanced proficiency in Excel functions, such as pivot tables and formulas, and sometimes integrating data from external sources. Collaborating with other team members, like data analysts or subject matter experts, is essential to ensure the research findings are thorough and reliable. Staying organized with clear documentation and regularly validating data helps minimize errors and streamline workflow.

What is Excel research?

Excel research refers to the process of using Microsoft Excel to collect, organize, analyze, and interpret data for research purposes. This can involve tasks like data entry, statistical analysis, creating charts and graphs, and generating reports. Excel research professionals often utilize formulas, pivot tables, and various tools within Excel to extract insights and support decision-making. This role is common in business, academic, and scientific settings where data management and analysis are required. Mastery of Excel helps streamline research workflows and improve the accuracy of results.

What is the difference between Excel Research vs Data Analyst?

AspectExcel ResearchData Analyst
Required CredentialsBasic Excel skills, possibly some certifications in data managementDegree in statistics, data science, or related field; often certifications in data analysis tools
Work EnvironmentOffice or remote, focused on data gathering and basic analysisOffice, corporate, or consulting settings, involving complex data interpretation
Employer & Industry UsageMarket research firms, small businesses, or departments within larger companiesFinance, marketing, healthcare, and tech industries
Common Search & ComparisonOften compared for entry-level data tasksMore advanced analysis and reporting roles

Excel Research typically involves gathering and organizing data using Excel, focusing on basic analysis. Data Analysts perform more complex data interpretation, statistical analysis, and reporting, often requiring advanced skills and certifications. While Excel Research is suitable for entry-level data tasks, Data Analysts handle comprehensive data projects across various industries.

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Excel Research jobs near you
Infographic showing various Excel Research job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Data Scientist II | Active Secret Clearance Required

Data Scientist II | Active Secret Clearance Required

Loch Harbour Group Inc

San Diego, CA • On-site

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Description:

Loch Harbour Group, Inc. is seeking experienced Data Scientist II professionals to perform advanced analytics, predictive modeling, and data integration in support of financial, business, and inventory management operations within a federal program environment.


This role requires strong statistical expertise, hands-on data engineering capability, and experience building scalable analytics solutions. The selected candidate will translate complex operational data into actionable insights that support leadership decision-making, audit readiness, and process optimization.


This position requires full-time onsite support in San Diego, CA and an active Secret clearance at time of hire.


Key responsibilities:

  • Perform advanced analysis of financial, business, and inventory data to identify trends, anomalies, and performance drivers
  • Cleanse, transform, and integrate data from multiple enterprise systems to ensure integrity and usability
  • Develop predictive models and forecasting analyses to support financial planning, inventory risk assessment, and operational decision-making
  • Design and build dashboards and executive-level visualizations using Python, R, SQL, Tableau, Power BI, and Excel
  • Research and resolve data discrepancies, exception reports, and cross-system inconsistencies
  • Collaborate with stakeholders to define analytical requirements and develop scalable data architectures
  • Conduct operations research and apply statistical methodologies to improve financial and asset management processes
  • Support accountable property and inventory analytics through development of data-driven insights
  • Develop documentation of methodologies, assumptions, models, and outputs in accordance with government standards
  • Present analytical findings to audiences ranging from operational teams to executive leadership


Requirements:

Education Requirements

Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Data Science, or related discipline


Experience Requirements

  • Minimum 3 years of professional experience in data science, analytics, or advanced statistical analysis


Required Technical Skills

  • Experience with software integration or testing, including analyzing and implementing test plans and scripts.
  • Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics
  • Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
  • Experience applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index.
  • Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.
  • Experience applying complex mathematical and statistical concepts.
  • Experience applying statistical and operations research methods and tools.
  • Experience employing spreadsheets for data manipulation and visualization.

Relevant industry certification such as required:

  • CompTIA Cloud Essentials
  • Microsoft Technical Associate (MTA)
  • Certificate of Cloud Security (CCSK)
  • CompTIA A+
  • CompTIA Security+
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH)
  • Certified Apache Hadoop Developer (HCAHD) (Hortonworks)
  • Certified Information System Security Professional (CISSP)
  • Certified Cloud Professional (CCP) (Cloudera)
  • Microsoft Certified Professional Developer (MCPD)
  • Microsoft Certified Solution Developer (MCSD)
  • Microsoft Certified Solution Expert (MCSE)
  • Private Cloud
  • Certified Administrator for Apache Hadoop (CCAH) (Cloudera)


Required Qualifications

  • Active Secret Security Clearance (required at time of hire)
  • Ability to work onsite in San Diego, CA

Company Highlights:

At LHG, we offer our employees a full comprehensive and competitive benefits package. Our benefits package features:

  • Competitive salaries
  • Paid time off
  • Health, dental and vision insurance
  • Company paid short/long term disability
  • Company paid Life and Accidental Death & Dismemberment insurance
  • 401(k) (up to 5% matching)
  • Flexible Spending Accounts (FSA)
  • Other company perks

The Loch Harbour Group is an equal opportunity employer, all interested qualified applicants are encouraged to apply, D/M/V/F. LHG welcomes and encourages diversity in the workforce.