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About the Role

The Advanced Analytics Translator integrates technical and business roles in advanced analytics projects, bridging data, analytics, and business acumen. This role defines business problems solvable by analytics, guides technical teams in creating data-driven solutions, and embeds these solutions into business operations.

Responsibilities

Bridge technical expertise of data engineers, architects, and scientists with operational expertise of marketing, supply chain, manufacturing, risk, and frontline functions.
Connect technical teams with business and operational stakeholders to identify opportunities, define requirements, and deliver data-driven solutions.
Lead cross-functional teams to ensure understanding of business/functional requirements for data science projects, including scoping and structuring data activities.
Collaborate with data engineers and data scientists to understand data requirements and problem-solve on best practice data structures.
Understand and explain advanced algorithms (e.g., econometrics, driver regressions, machine learning) in simple terms and perform quality control on analytical outputs.
Ensure Advanced Analytics solutions are deployed and operated by product owners, with follow-up for sustainment, improvements, and maintenance.
Conduct project reviews, feasibility, prioritization, initiation, execution, and user acceptance for advanced analytics projects.
Measure and communicate the outcomes of Advanced Analytics projects to various audiences.
Develop deep industry expertise and broad understanding of analytics to apply techniques across industries.
Act as an ambassador for Advanced Analytics, raising awareness of its benefits.
Evaluate mathematical and statistical models to provide factual recommendations and ensure outputs meet business needs.
Conduct data analysis to identify trends, patterns, risks, and opportunities, providing actionable insights.
Provide recommendations that enable data-driven decision-making across the business.

Requirements

Bachelor’s degree in Engineering, Computer science, Mathematics, Statistics, Business, Analytics, Information Systems, or a related field.
Graduate degree preferred.
3+ years of work experience in a data-centric business environment.
3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment.
Strong business and operational knowledge, ideally from direct work with operations.
Strong business acumen with the ability to understand business processes, identify opportunities, and translate business needs into data, analytics, and technology requirements.
Strong consultative communication skills, preferably diagnosing data to develop successful growth strategies with clients.
Strong communication, facilitation, and stakeholder management skills.
Ability to explain technical concepts and analytical findings to non-technical audiences.
Familiarity with Advanced Analytics tools such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire.
Proficiency in SQL and experience using analytics and visualization tools such as Power BI, ThoughtSpot, Python, or similar platforms.
Knowledge in Statistics, Big Data, Machine Learning, Data Science, IoT.
Experience analyzing large and complex datasets to identify trends, opportunities, risks, and actionable business insights.
Working knowledge of statistics, predictive analytics, machine learning, and data science concepts.
Ability to evaluate and communicate analytical approaches and results.
Familiarity with predictive statistical models, machine learning, cloud computing, consumer and syndicated data, marketing practices.
Familiarity with data management concepts, including data modeling, data quality, governance, and cloud-based data platforms.
Proven comfort and intellectual curiosity for working with large sets of data.
Ability to pull in relevant team members to address identified and undiscovered needs.

Skills

Data
Analytics
Business Acumen
Data Engineering
Data Science
Machine Learning
Econometrics
Driver Regressions
SQL
Power BI
ThoughtSpot
Python
Scala
R
Matlab
SAS
SPSS
Minitab
Hive
Hadoop
Pig
Tableau
Spotfire
Statistics
Big Data
IoT
Predictive Analytics
Data Management
Data Modeling
Data Quality
Data Governance
Cloud Computing
Cloud-based Data Platforms

Location

Texas

Work Type

Full-time

Experience Level

3 plus years of work experience
3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment

Education Level

Bachelor’s degree in relevant field: Engineering, Computer science, Mathematics, Statistics.
Graduate Degree preferred.
Bachelor’s degree in Business, Analytics, Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related field.
Advanced degree preferred

About the Company

Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer.

Equal Opportunity

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws.
A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages.
Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does 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.