Data Analyst

Russell Tobin; Fremont (CA); On-site; USD 130,183,000 - 137,760,000; Full time

Benefits offered by this job

Flexible hours

Job summary

Pride Global is seeking a Data Analytics / Technical Documentation Analyst in Fremont, CA for a 1-year contract. The role combines data analytics with technical documentation and PLM activities to support cross-functional teams.

The ideal candidate will transform complex data into clear reports, dashboards, and documentation, leveraging Excel, SharePoint, and Power BI. Strong English communication and MS Office skills are essential.

Qualifications

• Bachelor's degree or higher with 3+ years of related experience, or equivalent combo.
• Experience as Data Analyst or similar role with complex datasets.
• Strong written and verbal English communication.
• PLM understanding and technical documentation background.
• Advanced Microsoft Office skills (Excel/Word/PowerPoint/Teams).

Responsibilities

• Analyze, organize, and maintain complex datasets per requirements.
• Develop reports, dashboards, and data visualizations to communicate findings.
• Support PLM processes, documentation, and methodologies.
• Create and maintain technical documentation and business process documents.
• Collaborate with SMEs and cross-functional teams to collect requirements.
• Translate complex technical information into clear documentation.

Skills

Data Analysis

Data Analytics

Microsoft Office

Power BI

Education

Bachelor's degree in a related field

Tools

SQL

SharePoint

Excel

PowerPoint

Word

Job description

Data Analytics / Technical Documentation Analyst

Location: Fremont, CA

Duration: 1-Year Contract

Pay Rate: $46.42/hour

Schedule: Flexible hours as business needs dictate

Position Overview

We are seeking a skilled Data Analytics / Technical Documentation Analyst to support complex data analysis, technical documentation, business processes, and Product Lifecycle Management (PLM) activities.

The ideal candidate will have experience working with complex datasets, organizing and analyzing information based on business requirements, and translating data and technical information into clear, easy-to-understand reports, documents, graphs, and dashboards.

This position requires a combination of data analytics, technical documentation, business analysis, PLM knowledge, and strong Microsoft Office skills. The successful candidate will work closely with subject-matter experts and cross-functional stakeholders to gather requirements, analyze information, develop documentation, and communicate findings effectively.

Key Responsibilities

• Analyze, organize, and maintain complex datasets based on business and technical requirements.
• Collect, validate, and synthesize information from multiple sources.
• Develop reports, graphs, dashboards, and other data visualizations to communicate findings clearly.
• Perform data mining, segmentation, and analysis to identify trends, patterns, and opportunities.
• Translate analytical findings into concise, easy-to-understand presentations and reports.
• Support Product Lifecycle Management (PLM) processes, documentation, and methodologies.
• Develop and maintain technical documentation, including design procedures, test procedures, engineering standards, drafting standards, and business process documentation.
• Collaborate with subject-matter experts, engineers, business stakeholders, and cross-functional teams to collect requirements and technical inputs.
• Translate complex technical terminology and processes into clear and simplified documentation.
• Create and maintain documents using Microsoft Word styles, including numeric and bulleted indexing.
• Use Microsoft Excel to organize, manipulate, analyze, and visualize data.
• Create PivotTables, use VLOOKUP and other Excel functions, format data, and develop graphs.
• Support reporting and presentation activities using Microsoft PowerPoint.
• Use Microsoft Teams and other collaboration tools to coordinate meetings and projects.
• Support SharePoint sites by adding content, editing views, managing documents, and checking permissions.
• Support SharePoint document archival and workflow management.
• Collaborate on documents through SharePoint, OneDrive, and co-authoring tools.
• Create and maintain Power BI dashboards and reports when applicable.
• Write and execute SQL queries to gather and analyze data when applicable.
• Assist with scheduling and coordination of design reviews and other business meetings.
• Resolve scheduling conflicts and accommodate last-minute changes while balancing competing priorities.
• Provide basic PC and technical support for meeting room and design review setups.
• Maintain a high level of accuracy, organization, and attention to detail.
• Work independently while effectively communicating with stakeholders and team members.
• Support continuous improvement initiatives related to data, reporting, documentation, and business processes.

Required Qualifications

• Bachelor's degree with a minimum of 3 years of related experience; advanced degree without experience; or equivalent combination of education and work experience.
• Proven experience as a Data Analyst, Business Data Analyst, Business Analyst, Technical Business Analyst, or similar role.
• Experience working with complex datasets and organizing information according to business requirements.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills in English.
• Strong understanding of Product Lifecycle Management (PLM) principles, processes, and methodologies.
• Experience with technical documentation and business process documentation.
• Ability to work with subject-matter experts to gather requirements and synthesize technical information.
• Ability to translate complex technical content into clear, concise documentation.
• Strong Microsoft Office skills, particularly Excel, Word, PowerPoint, and Teams.
• Strong Microsoft Word formatting and document-style experience, including numeric and bulleted indexing.
• Advanced Excel capabilities, including PivotTables, VLOOKUP, formatting, data analysis, and graphing.
• Strong attention to detail and accuracy.
• Ability to work independently and manage multiple priorities.
• Ability to handle scheduling conflicts, changing priorities, and last-minute business requirements.

Preferred Qualifications

• Experience with Power BI and dashboard development.
• Experience with SQL and relational databases.
• Experience gathering, cleaning, organizing, and analyzing complex datasets.
• Experience with SharePoint document archival and workflow management.
• Experience with SharePoint, OneDrive, and collaborative document editing.
• Experience with QuickBase.
• Experience with reporting platforms such as BusinessObjects or similar tools.
• Experience with data models and database design.
• Experience with data mining and segmentation techniques.
• Experience with statistical analysis tools such as Excel, SPSS, or SAS.
• Experience in an engineering, manufacturing, technology, semiconductor, or product-development environment.
• Experience with engineering documentation, design procedures, test procedures, or drafting standards.

Technical Skills

Data & Analytics

• Data Analysis
• Data Analytics
• Data Mining
• Data Modeling
• Database Management
• SQL
• Reporting
• Statistical Analysis
• Data Warehousing
• Microsoft Excel
• Microsoft Word
• Microsoft PowerPoint
• Microsoft Teams
• SharePoint
• OneDrive
• Microsoft Outlook
• Power BI
• BusinessObjects
• Reporting Packages

Technical / Systems

• SQL
• Relational Databases
• Database Design
• XML
• ETL Frameworks
• QuickBase

Documentation

• Technical Documentation
• Design Procedures
• Test Procedures
• Business Process Documentation
• Design/Drafting Standards
• Requirements Documentation
• Document Management
• Workflow Management

Core Competencies

• Analytical Thinking
• Business Analysis
• Technical Writing
• Data Interpretation
• Problem Solving
• Requirements Gathering
• Stakeholder Management
• Cross-Functional Collaboration
• Project Coordination
• Verbal Communication
• Attention to Detail
• Organization
• Time Management
• Process Improvement
• Presentation Skills
• Ability to Manage Competing Priorities

Education

Preferred:

• Bachelor's degree in Data Analytics, Business, Computer Science, Information Systems, Engineering, or a related field.

Pride Global and its affiliates are Equal Opportunity Employers. We do not discriminate on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision-making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Pride Global and its affiliates are Fair Chance Employers. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state, and local Fair Chance laws and ordinances, including the California Fair Chance Act.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process or to perform the essential functions of this position, please let us know.

For San Francisco candidates only: Under the San Francisco Lactation in the Workplace Ordinance, written notice of lactation accommodation rights will be provided upon hire or upon any inquiry regarding parental leave or lactation accommodations.