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Data Analytics Mmm Jobs (NOW HIRING)

Domo (strong preference), Looker, Mode, Analytics: GA4, Segment, Mixpanel, Attribution: Northbeam, MTA structures, familiarity with MMM. • Advanced SQL and strong data-modeling discipline -- you ...

Director of Data (Remote)

Austin, TX · On-site +1

$170K - $230K/yr

Analytics: GA4, Segment, Mixpanel * Attribution: Northbeam, MTA structures, familiarity with MMM ... Advanced SQL and strong data-modeling discipline - you build scalable foundations, not just one-off ...

Analytics: GA4, Segment, Mixpanel * Attribution: Northbeam, MTA structures, familiarity with MMM ... Advanced SQL and strong data-modeling discipline -- you build scalable foundations, not just one ...

Guide collaboration with Data Analytics and agency partners to advance marketing mix modeling (MMM) and attribution methodologies that support enterprise decision-making. Champion the development and ...

Need to take ownership of the entire ML lifecycle-from critical data analysis to architecting ... MMM Frameworks: Meridian, LightweightMMM * Probabilistic Programming: PyMC, Stan, or similar ...

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Data Analytics Mmm information

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How much do data analytics mmm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data analytics mmm in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need expertise in statistics, data modeling, and business analysis, typically supported by a degree in data science, statistics, or a related field. Familiarity with analytics tools such as SQL, Python, R, Tableau, and data warehousing systems is crucial, as are certifications like Certified Analytics Professional (CAP). Leadership, strategic thinking, and strong communication skills set top performers apart by enabling effective team management and clear presentation of insights to stakeholders. These skills ensure the delivery of actionable business intelligence and drive data-informed decision-making across the organization.

What are Data Analytics Managers?

Data Analytics Managers are professionals responsible for overseeing data analysis teams and ensuring that data-driven insights contribute to business goals. They manage the collection, processing, and interpretation of large datasets to inform decision-making. Along with technical expertise in analytics tools and methods, they also play a key role in communicating findings to stakeholders and guiding strategy. Their work helps organizations optimize operations, identify trends, and gain a competitive edge.

What is the difference between Data Analytics Mmm vs Data Analyst?

AspectData Analytics MmmData Analyst
Required CredentialsBachelor's degree in related field, certifications like Google Data AnalyticsBachelor's degree, certifications like Microsoft Certified Data Analyst
Work EnvironmentBusiness, finance, marketing teams; often in corporate settingsSimilar environments; corporate, consulting, or tech firms
Employer & Industry UsageUsed across industries for data-driven decision makingCommonly employed in finance, healthcare, retail, and tech
Search & Comparison IntentOften compared for entry-level roles or skill requirementsFrequently compared to understand job scope and responsibilities

Data Analytics Mmm and Data Analyst roles share many similarities, including required skills, work environments, and industry usage. The main difference often lies in specific job focus or industry terminology, but both roles involve analyzing data to support business decisions.

What are the typical challenges faced by Data Analytics Managers when leading cross-functional teams?

Data Analytics Managers often encounter challenges such as aligning data priorities across departments, managing varying levels of data literacy among team members, and ensuring data quality and security. They frequently act as a bridge between technical analysts and business stakeholders, requiring strong communication and project management skills. Overcoming these challenges involves fostering a collaborative environment, setting clear objectives, and providing ongoing training to support team members’ development.
Infographic showing various Data Analytics Mmm job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Director- Analytics Consulting (CPG)

Director- Analytics Consulting (CPG)

Tiger Analytics Inc.

Chicago, IL • On-site

Full-time

Posted 12 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are also market leaders in AI & Analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest growing sector and we are beefing up our talent in the space.

We are looking for someone with a good blend of business consulting skills and data analytics background to add to our team.

Responsibilities:

  • Work on the latest applications of data science to solve business problems in the CPG space.
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally.
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution.

Requirements

  • 12-17 years of professional work experience with at least 7 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the Marketing, MMM, RGM space.
  • Strong project management and team management skills and ability to work with global teams
  • Solid understanding of statistical and machine learning algorithms is a plus
  • Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.