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Contract Google Data Analyst Jobs in Reno, NV (NOW HIRING)

Contract * Link Technologies (LinkTechConsulting.com), a Las Vegas-based IT consulting firm, is ... SQL for data validation. * ISTQB Certified Tester Foundation Level (CTFL) or equivalent software ...

New

Driver - Company Car Provided

Reno, NV ยท On-site

$15 - $18/hr

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... W-2 contract and fast onboarding Requirements * Valid driver's license * Clean driving record

Driver - Company Car Provided

Reno, NV ยท On-site

$15 - $18/hr

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... W-2 contract and fast onboarding Requirements * Valid driver's license * Clean driving record

Showing results 41-60

Contract Google Data Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do contract google data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for contract google data analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a contract Google data analyst?

Contract Google Data Analysts are professionals hired on a temporary or project basis to analyze and interpret data for Google or its clients. They use tools such as SQL, Python, and Google Analytics to gather insights, create reports, and help inform business decisions. Unlike full-time employees, contract analysts typically work for a set duration or specific project, often through a staffing agency or as independent contractors. Their responsibilities may include data cleaning, visualization, and presenting findings to stakeholders. This role requires strong analytical skills and the ability to work independently within fast-paced environments.

What are the key skills and qualifications needed to thrive as a contract Google data analyst?

To thrive as a Contract Google Data Analyst, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with tools such as Google Analytics, BigQuery, SQL, and data visualization platforms like Tableau or Data Studio is essential, and Google Analytics certification is often preferred. Excellent problem-solving abilities, attention to detail, and effective communication skills help convey insights and collaborate with stakeholders. These skills and qualities are important to extract actionable insights from data, drive business decisions, and deliver value in a dynamic contract environment.

What are some common challenges faced by contract Google data analysts, and how can they be effectively addressed?

Contract Google Data Analysts often face the challenge of quickly adapting to new teams and data systems within a limited timeframe. They must familiarize themselves with company-specific data structures, tools like BigQuery and Looker, and reporting standards while delivering actionable insights promptly. Building strong communication with permanent team members early on and documenting their work thoroughly helps ensure smooth collaboration and project continuity. Proactively seeking feedback and clarifying project expectations can also help contract analysts deliver value efficiently.

What is the difference between Contract Google Data Analyst vs Contract Data Analyst?

AspectContract Google Data AnalystContract Data Analyst
CredentialsGoogle certifications, data analysis skillsGeneral data analysis skills, certifications vary
Work EnvironmentPrimarily tech companies, digital projectsVarious industries, corporate or consulting settings
Employer UsageGoogle-related projects, tech firmsMultiple sectors including finance, healthcare
Search & Comparison IntentFocus on Google-specific roles, toolsBroader data analysis roles across industries

The Contract Google Data Analyst typically works on Google platforms and tools, often within tech companies or digital projects, requiring familiarity with Google-specific certifications. In contrast, a Contract Data Analyst has a broader scope, working across various industries with general data analysis skills. Both roles involve analyzing data to support business decisions but differ mainly in their industry focus and required certifications.

What are popular job titles related to Contract Google Data Analyst jobs in Reno, NV? For Contract Google Data Analyst jobs in Reno, NV, the most frequently searched job titles are:
What cities near Reno, NV are hiring for Contract Google Data Analyst jobs? Cities near Reno, NV with the most Contract Google Data Analyst job openings:

Performance Marketing Manager - SEO/AEO

Noble Studios

Reno, NV โ€ข Remote

Full-time

Re-posted 2 hours ago


Job description

Our SEO/AEO specialist (called Performance Marketing Manager) plays a key role in executing and optimizing organic strategies that improve search visibility, answer engine presence and measurable client outcomes. This mid-level role partners with strategists, designers, developers, copywriters and clients to translate business goals into clear SEO/AEO recommendations.

Noble is looking for a highly authentic and collaborative contributor who takes immense pride in delivering polished, high-quality work aligned with overarching client strategies. Combining analytical rigor with proactive curiosity, they excel at spotting patterns, identifying hidden opportunities, and raising the sharp questions that keep teams ahead of the curve. They seamlessly translate technical complexity into clear, actionable advice that builds lasting trust-proving they can easily juggle multiple priorities while making everyone look good.

CORE RESPONSIBILITIES:Search & AI Strategy Executionย 
  • Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations.
  • Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward.
  • Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans.
Content
  • Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms.
  • Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions.
  • Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility.
Technical
  • Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup.
  • Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk.
  • Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent.
Data Analysis
  • Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next.
OUR IDEAL CANDIDATE:
  • Operates with consistency, curiosity and care, taking pride in well-constructed and high-quality work.
  • Brings a detail-driven mindset to every deliverable, showing rigor, polish and a clear understanding of how the work ladders up to client goals and the larger strategy.
  • Spots patterns, red flags, performance shifts and hidden opportunities early, asking sharp questions to help the team make better decisions.
  • Connects the why to the now by translating technical depth and precision into clear, actionable recommendations that build trust with clients and internal teams.
  • Stays prepared, engaged and accountable while managing multiple priorities and contributing to a stronger quality baseline for the team.
REQUIRED EXPERIENCE & SKILLS:
  • 3+years of digital marketing experience with a primary focus on SEO; agency or multi-client experience preferred.
  • Bachelor's degree in a related field or equivalent experience considered.
  • Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority.
  • Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines.
  • Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients.
  • Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data.
  • Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps.
  • Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms.
  • Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup.
  • Detail-driven, consistent, curious and prepared; someone who takes pride in accurate work, surfaces risks early and helps the team produce stronger outcomes.
  • Ability to manage multiple assignments and deadlines while staying organized, collaborative and accountable.