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Contract Google Data Analyst Jobs in Utah (NOW HIRING)

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

AVA Consulting is seeking a Data Analyst Location: Salt Lake City, UT (Hybrid) U.S. Citizens and ... Strong proficiency and advanced Excel or Google Sheets strongly preferred; proficiency in SQL ...

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

SQL (advanced), Python (intermediate), Data Visualization (advanced), Excel (advanced), Statistical Analysis (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: Austin, TX (#LI ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Contract Analyst

Lehi, UT · On-site

$24.65/hr

Prefers hybrid out of the Lehi, UT 84043 office (Open to fully remote) We are seeking a Contract Analyst to support a short-term data governance initiative focused on improving the quality and ...

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

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Contract Google Data Analyst information

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 the most commonly searched types of Google Data Analyst jobs in Utah?

The most popular types of Google Data Analyst jobs in Utah are:

What job categories do people searching Contract Google Data Analyst jobs in Utah look for?

The top searched job categories for Contract Google Data Analyst jobs in Utah are:

What cities in Utah are hiring for Contract Google Data Analyst jobs?

Cities in Utah with the most Contract Google Data Analyst job openings:

Data Analyst

Omnicom

Salt Lake City, UT • On-site

Full-time

Posted 17 days ago


Job description

Agency:
Omnicom Precision Marketing
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities with creative excellence and performance capabilities, enabling Omnicom to deliver intelligent activation across the full funnel with data-driven decisioning at scale to help clients move faster and deliver more connected customer experiences.
MRM is a modern relationship marketing agency dedicated to building enduring brand relationships. MRM's specialized capabilities drive relationship lifetime value and span CRM, Customer Experience, and Commerce with data and martech at the core. MRM operates in a borderless, integrated way to enable greater collaboration, creativity, and true speed to market. For more information, please visit www.mrm.com.
MRM is looking for a Data Analyst. The ideal candidate must be able to proactively communicate ideas and opportunities, as well as conduct in depth analysis to support client recommendations and insights. The candidate should have a solid background in measurement and performance analytics, with an openness to learn and expand skills.
Responsibilities:
- Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports).
- Manage ad-hoc analytics questions & requests in a timely fashion.
- Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query.
- Create custom analytics dashboards in Tableau, PowerBI or similar tools.
- Assist in report automation.
- Assist in campaign planning and performance analysis.
Education and Experience:
(You don't have to be an expert in any of these, but we are looking for someone with a basic understanding and a willingness to learn / grow these skills):
- Bachelor's degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years' professional experience.
- Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their programming skills.
- Basic SQL capabilities: joining tables, using 'group by' clauses, case statements.
- Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them.
- Knowledge or experience working within Google Tag Manager or Google Analytics.
- Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn, ggplot etc).
- Basic to intermediate skills in Excel: Pivot tables, etc.
- Strong communication skills, both written and verbal.
- Comfortable working independently (once properly on-boarded).
- Comfortable working in a fast-paced, cross-functional environment.
Preferred, but not required:
- Interest or background in machine learning / predictive modelling.
- Knowledge or experience working with Firebase.
- Experience working with scientific polling data-bonus if applicant has experience with large .sav files and either SPSS / pyreadstat.
- Experience with automated data collection (web scraping, APIs).
- Experience writing VBA macros a plus.
- Experienced and comfortable collaborating remotely.
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.