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Flex Schedule Meta Data Analyst Jobs (NOW HIRING)

Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to ... If you're looking for a fast-paced, growth-focused environment to flex your digital marketing ...

Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to ... If you're looking for a fast-paced, growth-focused environment to flex your digital marketing ...

We provide a hybrid work schedule, allowing employees to work from home on some days and be present ... If you're looking for a fast-paced, growth-focused environment to flex your digital marketing ...

... meta-data, data lineage, data cleansing services *Activities: data modeling, data audit, detailed ... Analytical *Self-starter *Proficient in English (written & oral) *Critical Thinking *Employ ...

A career at Flex offers the opportunity to make a difference and invest in your growth in a ... Typically, then, a data analyst will want to have at least 1-2 years experience in a specific field ...

A career at Flex offers the opportunity to make a difference and invest in your growth in a ... Same as grade 23. Typically, then, a data analyst will want to have at least 2-4 years of ...

... process analysis and optimization, the understanding of logistics processes and systems, and ... Identify gaps in operations and present solutions to standardize operations across Meta data center ...

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to ...

Data Governance Analyst II

Warrenville, IL · On-site

$37.85 - $58.67/hr

Data Governance Analyst II * Location: Skokie, IL * Full Time * Hours: Monday-Friday, 8:00am - 4 ... This position will serve as a subject matter expert on Endeavor's data and reporting meta-data ...

... process analysis and optimization, the understanding of logistics processes and systems, and ... Identify gaps in operations and present solutions to standardize operations across Meta data center ...

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and ... process analysis and optimization, the understanding of logistics processes and systems, and ...

This role is at the heart of Meta's mission to build technologies that bring the world closer ... Lead infrastructure system engineering changes by defining project scope, schedule, and priority ...

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Flex Schedule Meta Data Analyst information

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$34K

$82.6K

$136K

How much do flex schedule meta data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for flex schedule meta data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Flex Schedule Meta Data Analyst vs Data Analyst?

AspectFlex Schedule Meta Data AnalystData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with data toolsBachelor's in similar fields; proficiency in data analysis software
Work EnvironmentFlexible hours, remote or hybrid options, project-based tasksStandard office hours, on-site or remote roles, ongoing data projects
Industry UsageTech, finance, healthcare with flexible scheduling needsBroad industry application, often with fixed schedules

The Flex Schedule Meta Data Analyst typically offers flexible working hours and focuses on managing and analyzing data with adaptable schedules. In contrast, a Data Analyst often works standard hours in a more structured environment. Both roles require similar skills and educational backgrounds but differ mainly in work hours and flexibility.

More about Flex Schedule Meta Data Analyst jobs
What cities are hiring for Flex Schedule Meta Data Analyst jobs? Cities with the most Flex Schedule Meta Data Analyst job openings:
What states have the most Flex Schedule Meta Data Analyst jobs? States with the most job openings for Flex Schedule Meta Data Analyst jobs include:
Infographic showing various Flex Schedule Meta Data Analyst job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 86% Full Time, 8% Contract, and 3% Nights. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Rocket 55 LLC

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Data Analyst
Minneapolis, MN
Location:
We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 Washington Ave S, Suite #1000, Minneapolis, MN 55415
Company Overview:
If you're looking for a fast-paced, growth-focused environment to flex your digital marketing muscle, Rocket55 is a perfect fit. Rocket55 has been a full-service digital marketing agency for 16+ years, no small feat in an industry that changes and evolves daily. Keeping up with the technological innovations and market trends in our industry makes every day working here an adventure. We're looking for fellow hard-working digital enthusiasts who are eager to drive results for our clients, thrive in a diverse and dynamic workplace, and add to a culture of curiosity, innovation, and awesomeness.
Join our energetic, success-driven team and be part of a company that values relentless pursuit of results, curiosity, collaboration, and adaptability. If you are driven by excellence and hungry for success, we want to hear from you!
Job Summary:
At Rocket55, we live at the intersection of data-driven strategy and bold creative execution. As a Data Analyst on our Analytics team, you won't just be "managing data" - you'll be building the sophisticated infrastructure that powers our clients' competitive advantage.
This role is responsible for designing, building and maintaining scalable marketing data infrastructure that powers reporting, attribution, analytics and strategic decision-making across client accounts. The ideal candidate combines deep technical expertise in data engineering and tracking implementation with a strong understanding of digital marketing platforms and performance analytics. You will work cross-functionally with marketing strategists, analysts, developers and client teams to ensure accurate data collection, seamless integrations and actionable insights that drive campaign performance and business growth.
Responsibilities:
  • Collect, clean and analyze data from digital marketing platforms, including Google Analytics (GA4), social media channels, advertising networks and CRM systems.
  • Build, maintain and optimize dashboards and reporting environments that track campaign performance, KPIs and business outcomes.
  • Implement and manage event and conversion tracking through Google Tag Manager (GTM) across websites and advertising platforms, including GA4, Google Ads, Meta, LinkedIn and other marketing channels.
  • Lead the implementation and migration of server-side tracking solutions, including Server-Side Google Tag Manager (sGTM) and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy, attribution and privacy compliance.
  • Translate complex datasets into actionable insights, identifying trends, opportunities and performance drivers that inform marketing strategy.
  • Partner with cross-functional agency teams to develop reporting visualizations and analytics solutions that clearly communicate campaign impact and client value.
  • Conduct regular audits and quality assurance checks to ensure data accuracy, consistency and integrity across platforms.
  • Present findings and recommendations clearly to internal stakeholders and clients through reports, dashboards and presentations.
  • Stay current on evolving analytics technologies, digital marketing trends and privacy regulations.
  • Design and maintain scalable ETL/ELT pipelines using tools such as dbt, Fivetran, and Python to centralize marketing and business data in BigQuery.
  • Support advanced attribution and measurement initiatives, including AI-assisted modeling, predictive analytics and machine learning integrations within reporting environments.

Requirements
Required Experience, Skills, and Qualifications:
  • Bachelor's degree in Data Science, Statistics, Marketing, Business, Computer Science or a related field.
  • 3+ years of experience in data analytics, marketing analytics or business intelligence, preferably within a digital marketing agency environment.
  • Advanced knowledge of Google Analytics (GA4) and data visualization platforms such as Data Studio, Tableau or Power BI.
  • Hands-on experience implementing and managing advanced website and marketing tracking through Google Tag Manager (GTM), including ecommerce, custom event tracking and cross-platform integrations.
  • Experience configuring and managing server-side GTM environments using platforms such as Stape, Freshpaint or Cloudflare Zaraz.
  • Strong SQL and Python skills, including writing complex queries, automating workflows and working with APIs for data extraction and transformation.
  • Experience working with Google Cloud Platform (GCP), particularly BigQuery, is strongly preferred.
  • Familiarity with marketing and advertising APIs, including Meta Conversions API and Google Ads API, for secure first-party data integrations.
  • Experience integrating marketing and CRM data to support closed-loop attribution and performance measurement across platforms such as HubSpot or Salesforce.
  • Strong analytical and problem-solving skills with the ability to synthesize large datasets into meaningful business insights.
  • Understanding of digital marketing channels and performance metrics, including SEO, paid media, social media and conversion optimization.
  • Excellent written and verbal communication skills with the ability to present technical concepts and data insights to both technical and non-technical audiences.
  • Strong attention to detail, organizational skills and commitment to data quality.
  • Ability to manage multiple projects simultaneously and collaborate effectively within a team environment.

Salary Range:
$55,000 - $80,000- depending on experience and qualifications.
Total Compensation Package:
This position offers full-time employment along with a comprehensive benefits package that includes:
  • Complimentary parking
  • Health, dental, and vision insurance
  • 401(k) with matching contributions from the Company
  • Life insurance and Accidental Death & Dismemberment (AD&D) coverage
  • Company-provided Short Term Disability insurance
  • Long Term Disability coverage
  • Paid Time Off
  • Holiday pay, including Floating Holiday
  • Flexible work schedules

Commitment to Inclusion:
Rocket55 is an equal opportunity employer and is dedicated to creating an inclusive work environment void of harassment and discrimination. Our goal at Rocket55 is to cultivate a culture where each team member feels appreciated, empowered, and motivated to pursue both personal and collective objectives. This commitment entails ensuring opportunity and accessibility for individuals of all backgrounds, including but not limited to race, ethnicity, age, marital status, gender, sexual orientation, gender identity, gender expression, religion, national origin, disabilities, political affiliation, and socioeconomic status.
Note: This job description is intended to provide a general overview of the position and does not encompass all responsibilities and qualifications that may be required. The role may evolve based on the needs of the company.