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Advanced Data Analytics Jobs (NOW HIRING)

As an Advanced Data Analyst here at Honeywell, you will be at the forefront of our organization ... Identify, design, and implement analytics-driven automation solutions that improve operational ...

As an Advanced Data Analyst here at Honeywell, you will be at the forefront of our organization ... Proven track record of success in sales analytics or related roles * Strong analytical and problem ...

As an Advanced Data Analyst here at Honeywell, you will be at the forefront of our organization ... Proven track record of success in sales analytics or related roles * Strong analytical and problem ...

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Advanced Data Analytics information

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$24

$54

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How much do advanced data analytics jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for advanced data analytics 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 an Advanced Data Analytics professional, and why are they important?

To excel in Advanced Data Analytics, you need strong quantitative skills, expertise in statistics, and a solid background in mathematics or computer science, usually demonstrated by a relevant degree. Proficiency with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications like Microsoft Certified: Data Analyst Associate. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills that set top professionals apart. These competencies enable analysts to extract actionable insights from complex data, drive decision-making, and support organizational goals.

What is advanced data analytics?

Advanced data analytics refers to the use of sophisticated techniques and tools to analyze large and complex datasets. These techniques often include machine learning, predictive modeling, data mining, and statistical analysis to uncover patterns, trends, and insights that can inform decision-making. Professionals in advanced data analytics use programming languages such as Python or R, and work with big data platforms to process and interpret data. The goal is to derive actionable intelligence that can drive business strategies and innovation.

Is AI replacing data analysts?

Advanced Data Analysts use AI tools to automate routine tasks and enhance data insights, but AI is not replacing the role entirely. Instead, it shifts the focus toward interpreting complex data, developing models, and applying domain expertise, making human skills still essential in the analytics process.

What is the difference between Advanced Data Analytics vs Data Scientist?

AspectAdvanced Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes programming skills
Work EnvironmentBusiness, finance, marketing teams focusing on data-driven decision makingResearch, development, and modeling in tech, finance, or healthcare sectors
Employer & Industry UsageUsed across industries for insights and reportingUsed for building models, algorithms, and predictive analytics

While both roles involve working with data, Advanced Data Analytics focuses on analyzing large datasets to generate insights and support decision-making. Data Scientists often develop models and algorithms to predict future trends. The roles overlap but differ mainly in scope and focus, with Data Scientists typically engaging in more complex modeling and programming tasks.

What is an advanced data analyst?

An advanced data analyst is a professional who uses complex statistical methods, data modeling, and programming tools like Python or R to interpret large datasets. They often work with data visualization, machine learning techniques, and require strong analytical skills to support strategic decision-making.

Is 40 too late for data science?

Advanced Data Analytics professionals can enter the field at any age, as skills in programming, statistics, and data visualization are more important than age. Many successful data scientists start their careers later in life, and continuous learning through online courses and certifications can help build relevant expertise regardless of age.

What are some common challenges faced by professionals in Advanced Data Analytics, and how can they be addressed?

Professionals in Advanced Data Analytics often encounter challenges such as managing and cleaning large, complex datasets, ensuring data accuracy, and communicating technical findings to non-technical stakeholders. Addressing these challenges typically involves developing strong data preprocessing skills, using robust data validation methods, and honing the ability to translate analytical insights into clear, actionable recommendations. Collaborating closely with cross-functional teams also helps ensure alignment on project goals and data interpretation.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer, Data Science Director, or Lead Data Scientist, which require advanced skills in machine learning, big data tools, and strategic decision-making. These roles typically offer six-figure salaries and may require extensive experience and certifications like Certified Analytics Professional (CAP).
More about Advanced Data Analytics jobs
What states have the most Advanced Data Analytics jobs? States with the most job openings for Advanced Data Analytics jobs include:
Infographic showing various Advanced Data Analytics job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 47% Full Time, 42% Part Time, and 9% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Advanced Data Analytics Lead

Inizio Ignite | Putnam

Boston, MA โ€ข On-site

Other

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

Position Summaryย 

Come join a growth engine as a leader in our Data & AI Practice!ย Inizioย Advisoryย &ย Putnamย Associatesย continue to advance ourย Commercial Life Sciencesย Data, Analytics andย AIย Team and Solutions.ย ย We areย lookingย for an experienced innovator and senior leader to joinย Data Strategy, Analytics and AI Practice.ย ย ย 

Theย Advancedย Dataย Analytics Lead role within the Data Strategy, Analytics and AI team willย beย responsible forย advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI.The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.ย ย 

This leadership roleย is responsibleย forย independently drivingย clientย and business development at the company.ย ย They must effectivelyย identifyย potential client engagements, qualifyย leadsย and drive the business development process.ย ย They will write andย submitย project proposals, develop and deliver capability presentations, and respond to prospective client needs.ย ย Theyย are responsible forย developing intellectual thought leadership for the company and for developing and enhancing practice areas within the firm.ย ย ย ย 

They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of Data Strategy/Analytics/AI projects, managing a globalย team of data scientists and business analysts to support and deliver client projects.ย ย 

In addition to Putnam growth, this is a broader opportunity to support growth withinย theย Inizioย Advisory companies to collaborate and work with other teams, as the Data Analytics & Strategy practice evolves to support the industry and our clients' needs.ย ย 

Holistic view of responsibilities and measurements of success:ย ย 

  • Extensive project work planning and client interaction and management.ย ย ย 
  • Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributionsย ย ย 
  • Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentationย ย ย 
  • Proposal development and revenue generationย ย ย 
  • Participation in industry thought leadershipย ย 
  • Establish clearer resourcingย methodย andย processย for the team for scaleย ย 
  • Support the evolution of our hiring strategy for team based on expected future client work (e.g.ย growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly.ย ย 

Desired Skills & Experienceย ย ย 

  • Experience in Life Sciences data analytics (minimum of 10 years) and consultingย ย 
  • Working knowledge ofย pharmaceuticalย data setsย such as:ย claims data, prescription data, lab data, change/content data,ย engagementย and experience dataย ย 
  • Experienceย in data visualization tools (e.g., Tableau,ย PowerBI, Qlik Sense)ย ย 
  • Experienceย in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)ย ย 
  • Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)ย ย 
  • A GenAI pioneer, with experience of LLMs in Pharma (e.g.ย generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnamย ย 
  • Extensive experience in project work planning and client management. (insert min years needed)ย ย 
  • A successful history of people and team management through mentorship, knowledge sharing, and leadership.ย ย ย 
  • Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentationย ย ย 
  • Proposal developmentย ย 
  • Participation in industry thought leadershipย ย 

Compensation & Benefitsย ย 

  • Industry competitive total rewards programs [salary and bonus packages]ย ย 
  • Exceptional senior partner mentorship, leadershipย trainingย and career development supportย ย 
  • Industry competitive benefits [paid time off, 401k, health insurance]ย ย 
  • Hybrid working model - this role can be based out of our NYC office or Boston officeย 

Company Description

Inizio Ignite, Putnamย 

InizioIgnite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth ofexpertise, we drive transformation and shape the future of health.Our Putnam strategy consulting team bridges science and strategy to enable confident decision-making and build value for pharma. We partner with leading health and life science companies serving brand & commercial leaders, Medical Affairs, access & pricing, and R&D.Ourexpertisespans offeringsincludingtherapeutic area strategy, data & AI strategy, go-to-market strategy, commercialization & growth, value, pricing & access (VPA) strategy, and evidence generation.Proudly part ofInizio- the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment - supporting confident, insight-driven decisions that move innovation forward.

We believe that to create real, lasting change on human health, we must bring out the best in our people, in every way and at every level. We offer a boutique-firm feel inside a global enterprise, opening the door to limitless opportunities to kickstart your career or hone your expertise. Built on the pillars of empowerment, collaboration, and meaning, we're proud to offer a fulfilling environment where world-class advisors can come together to shape the future of healthcare for the better.

Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.

Diversity, equity, and inclusion are tenets of our core values. We strive to create a culture and environment that fosters belonging and authenticity across all levels and values individuals for their skills, experience, diverse backgrounds, and unique perspectives. Collectively, DEI serves as a foundational element of who we are and how we work with our clients and with each other.

Our core values:

  • Team
  • Excellence
  • Strategic
  • Passion
  • Diversity

ย 

This is an Equal Employment Opportunity

Please note that Putnam Associates is in no way affiliated with Putnam Investments and that this is not a finance opportunity.