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Business Analytics Data Science Jobs (NOW HIRING)

Goldman Sachs & Co. LLC

Associate, Data Analytics

Dallas, TX

$58.60K - $59.10K/yr

S. or foreign equivalent) in Business Analytics, Data Analytics, Computer Science, or related field and one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S ...

New

VTG

Data Scientist

Chantilly, VA · On-site

... or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

DHARWIN BUSINESS SOLUTIONS LLC

Be Seen First

Data Analyst (STEM OPT - Entry Level)

OR · Remote

Master's or Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Business Analytics, or related STEM field * Currently on F-1 visa with approved STEM OPT or ...

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Business Analytics Data Science information

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How much do business analytics data science jobs pay per hour?

As of May 31, 2026, the average hourly pay for business analytics data science in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

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

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do Business Analytics Data Science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

What is the difference between Business Analytics Data Science vs Data Analyst?

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

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Business Analytics Data Science jobs near you
Infographic showing various Business Analytics Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.
Head of Product Data & Analytics

Head of Product Data & Analytics

Coca-Cola

Atlanta, GA

Full-time

Posted 16 days ago

Coca-Cola Consolidated rating

7.2

Company rating: 7.2 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

166th of 379 rated food and drinks producers

Job description

Job Description Summary:

The Coca-Cola Company is building a modern product organization for a business thatoperatesatextraordinaryscale.We are building the digital product foundation for howweserve customers, enable teams, and grow the business in the years ahead. Data and analytics are central to that ambition,helping teams understand what is happening, why it matters, and where to act next.

This role will help build the intelligence layer behind our product organization: the measurement, experimentation, analytics, data science, and decision-support capabilities that help teams learn faster, make better decisions, and create measurable customer and business value.

About the Role

The Head of Product Data & Analytics leads the data discipline within the Product organization, overseeing analysts and data scientists embedded in empowered product teams.

You will build and scale a modern product insights capability that connects product analytics, experimentation, instrumentation, decision support, and data science. Working closely with Product, Design, and Engineering,you'llhelp teams connect what users do with why they do it,and translate those insights into better products, stronger decisions, and measurable outcomes.

This is a cross-functional leadership role focused on shaping how Coca-Cola's product teams learn, prioritize, and create value through data.

Responsibilities

Build and lead theProductData & Analytics practice

  • Hire, develop, and lead analysts, data scientists, and experimentation specialists embedded in product teams

  • Define roles, standards, tools, operating rhythms, and career paths for analytics and data science within the product organization

  • Build a culture rooted in curiosity, rigor, clear storytelling, and shared ownership of outcomes

Make data foundational tohow product teamswork

  • Ensure teams use data to understand user behavior, measure outcomes, evaluate ideas, and identify new opportunities

  • Help product leaders move from feature roadmaps to outcome-based KPIs, scorecards, and learning agendas

  • Partner with Design and Research to connect behavioral data, qualitative insight, and business context

Define measurement, instrumentation, and experimentation

  • Establish KPIs, guardrails, leading indicators, and measurement frameworks for each product area

  • Ensure products are instrumented effectively so teams can understand adoption, engagement, friction, and impact

  • Operationalize experimentation practices, including A/B tests, holdouts, causal inference, and other methodsappropriate toreal-world product environments

Lead core product analytics capabilities

  • Oversee user analytics, customer analytics, funnels, cohorts, retention, adoption, and behavioral analyses

  • Guide business analytics such as lifetime value, churn, economics, and value realization

  • Ensure data quality, accuracy, consistency, and usability across product platforms and reporting environments

Develop and apply data science for insight andproductvalue

  • Guide segmentation, forecasting, clustering, propensity modeling, recommendations, and other advanced analytics approaches

  • Partner with Product and Engineering to embed predictive, adaptive, and intelligent capabilities into product experiences

  • Ensure models aremonitored, evaluated, explained, and continuously improved

Elevate data capability across the organization

  • Coach PMs, designers, engineers, and business partners to become more confident, data-literate decision-makers

  • Make analytics, experimentation, and learning a routine part of product team practice

  • Share insights broadly to build organizational knowledge and improve portfolio-level decision-making

Influence product strategy and portfolio decisions

  • Size opportunities, prioritize bets, and guide investment decisions using data

  • Provide scenario modeling, forecasting, and evidence to inform portfolio sequencing

  • Partner with product leadership to ensure strategy is grounded in customer behavior, business value, and measurable outcomes

Key Qualifications

  • 10+years of experience in analytics, data science, or related fields, with at least five years leading teams in digital product environments

  • Experience embedding analysts and/or data scientists within cross-functional product or engineering teams

  • Strong foundation in product analytics including behavioral data, funnels, cohorts, and retention

  • Deep experience with experimentation including A/B testing, test design, and interpretation

  • Familiarity with data science techniques such as clustering, regression, propensity modeling, and recommendations

  • Comfort with modern data platforms including warehouses, event tracking, BI tools, and experimentation frameworks

  • Ability to translate complex analyses into clear, actionable insights for product and executive audiences

  • Strong collaboration and influence skills across Product, Engineering, and Design

Preferred Qualifications

  • Experience building or scaling data and analytics within empowered product team models

  • Background applying causal inference or quasi-experimental methods in real-world environments

  • Exposure to embedding ML models into customer-facing products

  • Familiarity with AI and agentic systems as accelerators for analysis, modeling, experimentation, workflow automation, or product decisioning

Education:Bachelor's degree required;Advanced degree in data science, statistics, economics, computer science, or a related fieldpreferred.

Skills

  • Analytical rigor:Applies strong statistical and analytical judgment to define, measure, and interpret product outcomes with clarity and precision.

  • Product and systems thinking:Connects data, behavior, workflows, and business goals to understand how products create value across teams and platforms.

  • Experimentationexpertise:Designs and governs experiments that produce reliable evidence and help teams reduce risk and accelerate learning.

  • Data science fluency:Guides advanced analytics and modeling approaches that deliver insight, decision support, and product value.

  • Insightstorytelling and influence:Translates complex analyses into clear narratives that shape strategy, inform decisions, and align stakeholders.

  • Team leadership and capability building:Develops strong analytics and data science talent while building a culture of curiosity, rigor, and shared ownership of outcomes.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Pay Range:

United States of America: $224,100 - $257,600

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

50

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Long-term Incentive Reference Value Percentage:

20

Long-term Incentive reference value is a market-based competitive value for your role.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Yes

Job Posting End Date:

May 31, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Visionto learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola Consolidated employees say

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About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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