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Data Optimization Analyst Jobs in Virginia (NOW HIRING)

The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision-making and cost optimization initiatives. Key Responsibilities: * Analyze and interpret ...

Lead the development of complex, highly optimized SQL queries to extract, transform, and analyze ... Data Validation & Quality Assurance * Validate, reconcile, and certify data sourced from multiple ...

Lead the development of complex, highly optimized SQL queries to extract, transform, and analyze ... Data Validation & Quality Assurance * Validate, reconcile, and certify data sourced from multiple ...

... and optimized data flows Develop and maintain dashboards, reports, and KPIs to monitor product health and user behavior Conduct deep-dive analysis and root cause investigations across product ...

Senior Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... optimization. • Experience with Snowflake (warehouse concepts, optimization/cost awareness ...

Big Data & Scalable Analytics - Distributed computing and large-scale data optimization * Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization, and data ...

Big Data & Scalable Analytics - Distributed computing and large-scale data optimization * Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization, and data ...

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Data Optimization Analyst information

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

To thrive as a Data Optimization Analyst, you need strong analytical abilities, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Python, R, and optimization platforms like Tableau or Power BI, as well as certifications in data analytics, are commonly required. Exceptional problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for transforming complex data into actionable business insights and driving process improvements.

Is 40 too late for data science?

A Data Optimization Analyst role requires strong analytical skills and familiarity with data tools, but age is not a barrier to entering data science or related fields. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new technologies are key factors for success regardless of age.

What is a data optimization analyst?

A data optimization analyst is a professional who analyzes data to improve business processes, efficiency, and decision-making. They use tools like SQL, Excel, and data visualization software to identify patterns and implement strategies that enhance data quality and performance.

What are Data Optimization Analysts?

Data Optimization Analysts are professionals who specialize in improving the efficiency and effectiveness of data processes within an organization. Their work involves analyzing large datasets, identifying areas for improvement, and implementing strategies to optimize data collection, storage, and usage. They use statistical tools and data modeling techniques to ensure data quality and support better decision-making. Data Optimization Analysts often collaborate with data engineers, business analysts, and IT teams to streamline workflows and maximize the value derived from data assets.

What is the difference between Data Optimization Analyst vs Data Analyst?

AspectData Optimization AnalystData Analyst
Primary FocusImproving data processes and optimizing data workflows for better efficiencyAnalyzing data to identify trends and generate reports
Skills & CertificationsData management, SQL, data modeling, problem-solvingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, business unitsBusiness, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, retailAlmost all industries including marketing, finance, healthcare

While both roles involve working with data, Data Optimization Analysts focus on enhancing data processes and workflows to improve efficiency, whereas Data Analysts primarily interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments in data analysis roles.

How does a Data Optimization Analyst typically collaborate with other departments to improve business outcomes?

A Data Optimization Analyst regularly works cross-functionally with teams such as marketing, operations, and IT to identify inefficiencies and recommend data-driven solutions. They gather requirements from stakeholders, analyze complex datasets, and present actionable insights that align with business goals. Effective communication and teamwork are essential, as analysts often need to translate technical findings into practical recommendations for non-technical colleagues. This collaborative approach ensures that data initiatives drive measurable improvements across different areas of the organization.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.
What are popular job titles related to Data Optimization Analyst jobs in Virginia? For Data Optimization Analyst jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Data Optimization Analyst job openings in Virginia as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Senior Manager, Supply Chain Optimization

Smithfield Foods

Suffolk, VA

Full-time

Posted 7 days ago


Job description

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.

Have a seat at our table. When you join Smithfield, you become part of something special - a company that's sustainably feeding people around the world, producing good food the right way with respect for our people, animals, communities and planet. With opportunities across locations and functions, a culture grounded in our Core Four values - gratitude, communication, respect and accountability - and a strong commitment to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers where you can grow, contribute and make a real impact. Apply Now!

THE VALUE YOU'LL BRING:

The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.

We are seeking a detail-oriented and analytical Senior Manager, Supply Chain Optimization to drive operational improvement across the supply chain. This role is responsible for developing performance metrics, analyzing operational data, optimizing distribution networks, identifying improvement opportunities, and supporting strategic decision-making across the supply chain.

The ideal candidate combines strong analytical capabilities with business acumen and cross-functional collaboration skills to improve supply chain efficiency, transportation performance, network effectiveness, cost optimization, and service levels.

WHAT YOU'LL DO:

The below statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

  • Supply Chain Performance Management -Develop, monitor, and maintain supply chain KPIs and dashboards across warehousing and transportation. Analyze operational performance trends and identify root causes for service, cost, and productivity gaps. Lead weekly performance reviews with stakeholders.

  • Distribution Network Optimization -Analyze and optimize distribution network design to improve service levels, reduce transportation costs, and enhance operational efficiency. Conduct network modeling and scenario analysis for warehouse locations, transportation routes, inventory placement, and customer allocation strategies. Support strategic initiatives involving network expansion, consolidation, and optimization.

  • Data Analysis & Insights -Collect, cleanse, and analyze large datasets from ERP, WMS, TMS, and BI systems. Translate complex data into actionable business insights and executive-level recommendations. Support budgeting, capacity planning, and cost-reduction initiatives through data-driven analysis. Identify operational risks, bottlenecks, and continuous improvement opportunities.

  • Stakeholder Collaboration -Work closely with Planning, Logistics, Finance, Operations, and IT teams. Prepare executive presentations and communicate findings to senior leadership. Support strategic decision-making with timely reporting and analytical insights

WHAT WE'RE SEEKING:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions.

1. Education and Experience:Bachelor's degree from an accredited four-year college or university in business, food science, packaging, agri-business, economics, engineering, supply chain or related discipline and 8+ years' relevant experience; or equivalent combination of education and experience, required.

2. Leadership Background:2+ years of demonstrated experience in team management/development or project leadership is required.

3. Technical & Systems Expertise:

  • SAP experience required

  • Understanding of production planning and materials requirements planning (MRP)

4. Analytical & Problem-Solving Skills:

  • Ability to work through complex, unstructured problems

  • Strong critical thinking and analytical reasoning skills

5. Communication & Interpersonal Skills:

  • Able to communicate clearly and concisely in both written and verbal formats

  • Strong teamwork, adaptability, and organizational planning skills

  • Demonstrated ability to build positive, respectful, and collaborative working relationships

6. Travel Requirements: Ability to travel up to 10% to manufacturing plants.

OTHER SKILLS THAT MAKE YOU STAND OUT:

1. Work Style & Environment Fit:

  • Ability to perform effectively in a fastpaced, dynamic environment

  • Teamoriented approach with a focus on creating a positive work environment

Relocation Package Available Yes

EEO Information

Smithfield is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.

If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at 757-357-1595.