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Analytics Associate information

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$3.1K

$6.1K

$8.7K

How much do analytics associate jobs pay per month?

As of Jul 31, 2026, the average monthly pay for analytics associate in Pleasant Prairie, WI is $6,096.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,533.33 and $6,500.00 per month, depending on experience, location, and employer.

What can you do with an associate's in data analytics?

An analytics associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What are the key skills and qualifications needed to thrive as an Analytics Associate, and why are they important?

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an Analytics Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What cities near Pleasant Prairie, WI are hiring for Analytics Associate jobs? Cities near Pleasant Prairie, WI with the most Analytics Associate job openings:
Analytics Associate jobs near you

Associate Director, Analytics Products

AbbVie

Mettawa, IL • On-site

$141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Analytics and Performance Excellence (APEX) function supports AbbVie's US organization and is comprised of highly regarded researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative - and we'd love for you to join us.
The Associate Director, Analytics Products is the single-threaded product owner for AbbVie's Omnichannel analytics portfolio - a suite of capabilities spanning omnichannel marketing strategy, planning, execution, and measurement. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role holds ultimate accountability for these products' business value. Reporting to the Director, Data and Analytics Products, the AD partners closely with Data Science, Marketing, Digital Lab, BTS, APEX Business Units, and external partners to ensure Omnichannel analytics solutions are impactful, adopted, and continuously improving. This is a strategic, outcome-oriented leadership role combining deep AI/ML expertise with a product ownership mindset.
Key Responsibilities
  • Own the product vision, strategy, and roadmap for the Omnichannel analytics suite, ensuring alignment from strategy through execution.
  • Define the problem space - articulating business outcomes, user needs, scope, and the product backlog - while partnering with Data Science, Data Transformation, and BTS on technical delivery.
  • Manage the full APEX product lifecycle across Omnichannel initiatives, from Intake and Solutioning through Prioritization, Build & Validate, Delivery & Adoption, and Measure & Enhance.
  • Drive value-based prioritization, making disciplined trade-off decisions on scope, features, and timelines based on business impact, with clear acceptance criteria for deliverables.
  • Define and track success metrics, including adoption and business impact, and establish closed-loop measurement frameworks to assess end-to-end promotional effectiveness.
  • Partner with Marketing, Digital Lab, BTS, APEX Business Units, and external vendors to co-develop analytics solutions that deliver quantifiable value across HCP and patient journeys.
  • Represent analytics products in Product Council and Steering Committee forums as the authoritative voice on product direction and trade-offs.
  • Engage stakeholders consultatively, shifting conversations from feature requests to problem definitions, user outcomes, and measurable results.
  • Communicate insights and strategy clearly - creating compelling roadmap presentations and recommendations for executive and senior cross-functional audiences.

Supervisory / Management Responsibilities
Leads 1-2 direct reports with coaching, development, and performance management. Manages vendor relationships and budgets for analytics products, ensuring external partnerships deliver measurable value aligned to product outcomes.
Key Competencies
  • Outcome-oriented: Defines success metrics, measures product impact, and holds teams accountable to results - not delivery milestones.
  • Product ownership clarity: Clearly distinguishes product ownership from project management; operates as a value maximizer and decision maker.
  • Influence without authority: Builds alignment across Marketing, Data Science, Engineering, BTS, and partners through credibility and strategic framing.
  • Disciplined prioritization: Makes and defends scope and trade-off decisions based on business value.
  • Executive communication: Presents complex analytics concepts and product strategies to senior audiences with clarity.
  • Consultative problem-framing: Translates ambiguous business challenges into well-scoped product opportunities with measurable outcomes.
  • Cross-functional collaboration: Builds trust across diverse stakeholder groups while maintaining clear decision rights per the APEX governance model.

Qualifications
  • Bachelor's degree in Business Administration, Statistics, Economics, Engineering, or a related quantitative field. Advanced degree (MBA, MS, or PhD) preferred.
  • 10+ years in marketing analytics, digital analytics, or commercial analytics in biopharma, healthcare, or life sciences.
  • 6+ years as a product owner or product manager for analytics, data, or technology products, with full lifecycle ownership.
  • 6+ years in omni-channel analytics, engagement analytics, journey analytics, or closed-loop measurement.
  • 6+ years defining data and technology requirements in collaboration with data science, engineering, or technology teams.
  • 6+ years measuring commercial effectiveness via promotional response analysis, closed-loop measurement, A/B testing, or quasi-experimental methods.
  • 2+ years leading, mentoring, and developing direct reports in an analytics or product function.
  • Demonstrated experience managing vendor relationships to deliver analytics capabilities at enterprise scale.
  • Hands-on experience with data science tools (Python, R, SQL) and ability to engage technically with data science and technology partners.

Preferred Experience
  • Agile product development experience: backlog management, sprint planning, user story writing, and acceptance criteria.
  • Familiarity with pharma data sources (Symphony Health, IQVIA, or equivalent prescription, patient, and omnichannel marketing data).
  • Experience within formal product governance frameworks, including intake triage, investment prioritization, and steering committee processes.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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