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Excel Data Cleaning Jobs in California (NOW HIRING)

Senior Data Analyst

Cupertino, CA · On-site

$106K - $133K/yr

Experience with Data Cleaning and Validation * Advanced proficiency in Excel * Good to have experience working with large Data sets * Good to have- Familiarity with data visualization tools Tableau ...

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

Data Analyst III

Irvine, CA · On-site

$95 - $120/hr

Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA ... Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data ...

We are a fast-growing company that hires talented, hardworking people who excel in high-performance ... Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and ...

We are a fast-growing company that hires talented, hardworking people who excel in high-performance ... Delivering that depends on clean, current data -- CAS numbers, specifications, certifications, and ...

Knowledge of data cleaning, analysis, modeling and visualization techniques * Ability to use ... MS Office (Word, Excel, Powerpoint, Outlook, Project) Preferred Qualifications * Experience working ...

Required : • Proven experience in data processing, cleaning, and validating large and complex ... with Excel, macros, pivot tables, and managing intricate datasets • Competence in event ...

Data Specialist

Norco, CA · On-site

$31.99/hr

Data cleaning, validation, and event reconstruction or track association to prepare datasets for ... Advanced proficiency with Excel, macros, pivot tables, and managing intricate datasets * Competence ...

Data Specialist

Norco, CA · On-site

$31.99/hr

The candidate must possess a strong technical foundation, with competencies in data cleaning and ... with Excel, macros, pivot tables, and managing intricate datasets Competence in event ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Ensure data integrity and accuracy through regular data validation and cleaning processes. * Assist ... Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R)

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Excel Data Cleaning information

What is Excel data cleaning?

Excel data cleaning refers to the process of identifying and correcting errors, inconsistencies, and inaccuracies in data sets using Microsoft Excel. This involves tasks such as removing duplicates, fixing formatting issues, handling missing values, and standardizing data for analysis or reporting. Effective data cleaning ensures that your data is reliable, accurate, and ready for further processing or analysis. It is a critical first step in any data management or data analysis project.

What are the key skills and qualifications needed to thrive as an Excel data cleaning specialist, and why are they important?

To thrive as an Excel Data Cleaning Specialist, you need strong attention to detail, advanced knowledge of Excel functions (such as VLOOKUP, FILTER, and TEXT functions), and experience with data management. Familiarity with Excel add-ins, Power Query, and sometimes knowledge of VBA scripting or other data processing tools is highly valuable. Analytical thinking, problem-solving, and effective communication help you interpret data requirements and collaborate with stakeholders. These skills ensure data accuracy, streamline workflows, and support reliable decision-making based on clean, usable datasets.

What are some common challenges faced in Excel data cleaning roles, and how can they be effectively managed?

One common challenge in Excel data cleaning is dealing with inconsistent or incomplete data, such as missing values, duplicate entries, or formatting issues. Effectively managing these challenges involves using Excel tools like filters, conditional formatting, and the 'Remove Duplicates' feature, as well as formulas like IF, ISBLANK, and VLOOKUP to identify and correct discrepancies. Collaborating closely with team members or data stakeholders is also important to clarify data definitions and ensure accuracy. Staying organized and documenting your cleaning process helps maintain data integrity and supports transparency for future audits or team reviews.

What is the difference between Excel Data Cleaning vs Data Analyst?

AspectExcel Data CleaningData Analyst
Required SkillsProficiency in Excel, data cleaning techniquesExcel, data analysis, visualization, statistical skills
Work EnvironmentPrimarily in Excel, small datasets, ad hoc tasksMultiple tools, larger datasets, reporting and insights
CertificationsExcel certifications, data cleaning coursesData analysis certifications (e.g., Microsoft, Coursera)
Industry UsageData preparation, cleaning for various rolesData interpretation, decision-making, reporting

Excel Data Cleaning focuses on preparing and cleaning data within Excel, often for immediate use. Data Analysts perform broader analysis, interpret data, and generate reports, often using multiple tools. While data cleaning is a key skill for analysts, the roles differ in scope and complexity.

What are popular job titles related to Excel Data Cleaning jobs in California?

For Excel Data Cleaning jobs in California, the most frequently searched job titles are:

What job categories do people searching Excel Data Cleaning jobs in California look for?

The top searched job categories for Excel Data Cleaning jobs in California are:

What cities in California are hiring for Excel Data Cleaning jobs?

Cities in California with the most Excel Data Cleaning job openings:

Infographic showing various Excel Data Cleaning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Biospecimens and Genetics Data Manager

University of California San Francisco

San Francisco, CA • On-site

Temporary

Re-posted 28 days ago


Key responsibilities

  • Supports data capture, data integration, results management, and reporting for specimen collection protocols.

  • Performs data querying, cleaning, merging, discrepancy management, and generates metrics and reports.

  • Develops and maintains scripts and queries to support data workflows and provides data sets for research activities.


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

237th of 631 rated colleges and universities


Job description


Job Function Summary:
Involves gathering, analyzing, and curating a wide variety of research data, primarily involving human biofluids and genetics but also other clinical data elements. Participates in research by supporting data QC, ingesting data from external collaborators, creating datasets to share with researchers, summarizing collected data according, developing data best practices, and faciliating data related activities (e.g., biospecimens' inventory, billing). Prepares reports, charts, tables, and other visual aids to interpret and communicate data.
Generic Scope
Professional who applies acquired job skills, policies, and procedures to complete substantive assignments / projects / tasks of moderate scope and complexity; exercises judgment within defined guidelines and practices to determine appropriate action.
Custom Scope
The position is with the UCSF Edward and Pearl Fein Memory and Aging Center (MAC) (http://memory.ucsf.edu), a dynamic multidisciplinary clinical research program investigating neurodegenerative diseases. Under the supervision of the MAC Genetics and Biospecimen Manager and the Director of Research Technology, the Biospecimen and Genetics Data Manager will support and manage key aspects of program data workflow aspects of the Genetics and Biospecimen program data needs. The Biospecimen and Genetics Data Manager supports our innovative and impactful biospecimens program that is critical to our research and translational activities, clinical and observational trials, and research activities. The Biospecimen and Genetics Data Manager is responsible for supporting all aspects of data capture, data integration, results management, and reporting for more than 30 related specimen collection protocols involving multiple partners and laboratories.
Key data management responsibilities of the Biospecimen and Genetics Data Manager include discrepancy management, manual data review, data cleaning, data transfers, data merging, generating metrics, reporting. The Biospecimen and Genetics Data Manager will write and maintain programmatic scripts with attention to accuracy, maintainability and reproducabilitiy in support of their work activities. The Biospecimen and Genetics Data Manager will also provide hands-on data management support to fulfill requests for data sets in support of research activities (including data sets sourced externally from the Specimen Meta Data Tool). They will support the Genetics and Biospecimen Program Manager in clarifying data validation errors, and improving overall data quality.
The Biospecimen and Genetics Data Manager will also work closely with Genetics and Biospecimen Program Manager in all aspects of specimen transfers including querying the data repositories to identify samples, as well as being as supporting the preparation and transfer of data and results to the Memory and Aging Center.
The Biospecimen and Genetics Data Manager will report to the Genetics and Biospecimen Program Manager for domain specific work, and the Director of Research Technology for data related work on an interim basis. This co-supervision structure is temporary and will transition to a dedicated data supervisor once that role is filled.
Responsibilities
% of timeEssential Function (Yes/No)Key Responsibilities (To be completed by Supervisor)10
Yes
Maintains and develops research gathering, retrieval and reporting systems.
  • Provide data extraction and reporting as needed for specimens billing including scripting, creating and maintaining Excel data sheets
5Yes
Provides data feasibility input (e.g., cohort counts, availability) to support study design
  • Works as part of team to support biospecimen requests through data querying and subject identification to provide to PI's or Specimen Manager for design of a cohort
20Yes
Prepares queries and reports for internal department constituents.
  • Performs data querying and summary in support of data requests and routine reporting activities from internal and external researchers and clinicians for data requests outside supported/available Biospecimen data meta-repository.
10Yes
Assists in maintaining systems for organizing data to analyze, identify and report trends.
  • Implement/Modify scripts and queries to provide replicable pipeline for data return needs
  • Functions as a data power user in key systems supporting biospecimen data workflows.
30Yes
Aggregates and QC research specimen data; prepares and summarizes information and / or recommendations.
  • Regularly (daily/weekly) requests, receives and integrates new inventory and biospecimen result datasets (csv/excel) into central data repositories. Checks all records for integrity of key identifiers, dates, and values with an emphasis on identifying, reporting, and assisting specimens team and laboratory staff in resolving any discrepancies.

Qualifications
Required Qualifications
  • Bachelor's degree in related area and minimum one year of experience or equivalent experience / training
  • Working knowledge of research function
  • Working skills in systems programming, scripting and statistical software packages
  • Working skills in analysis and consultation
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing
  • Proven track record of success managing and maintaining accurate data in a complex data environment
  • Demonstrated proficiency in statistical analysis, data transformation and linking, data systems programming, and/or data schema design and documentation
  • Knowledge of Freezerworks LIMS or similar systems
  • Ability to communicate complex information in a clear and concise manner both verbally and in writing. Clear, concise communication style with easy going attitude
  • Ability to multitask and be organized and work quickly in a dynamic environment with competing priorities
  • Prior experience working in a research environment, preferably in a wet-lab or closely with a wet-lab
  • Excellent Excel and MS Office skills
  • Proficiency in a programming language (python, R, etc.)
  • Experience with source control management (e.g. git) and best practices for scripting

Preferred Qualifications
  • Minimum of 3 years of research or clinical data management experience
  • Knowledge of HIPAA and best practices for securing protected health information
  • Experience working with relational databases or software tools to design queries and reports
  • Basic understanding of genetics and proteomics

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