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Analytic Solutions Jobs (NOW HIRING)

Epsilon

Director, Analytic Consulting

Boston, MA · On-site

This individual can design and guide complex analytic solutions , simplify technical concepts for business audiences, and coordinate talented onshore and offshore analytics teams in the execution and ...

Epsilon

Director, Analytic Consulting

Westminster, CO · On-site

This individual can design and guide complex analytic solutions , simplify technical concepts for business audiences, and coordinate talented onshore and offshore analytics teams in the execution and ...

MUSC

... Solutions services. Generates appropriate communication, process, and educational plans to identify ... Must be able to demonstrate expert skills in framing analytic problems, identifying key ...

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Analytic Solutions information

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$36K

$104.9K

$184K

How much do analytic solutions jobs pay per year?

As of Sep 15, 2026, the average yearly pay for analytic solutions in the United States is $104,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is analytic solutions?

Analytic solutions refer to strategies, tools, and methodologies used to analyze and interpret data to solve business problems or improve decision-making. These solutions often involve data collection, processing, and the use of statistical or machine learning models to generate actionable insights. Professionals in this field design and implement systems that help organizations gain a competitive advantage through data-driven strategies. Analytic solutions can be applied in various industries, including finance, healthcare, marketing, and more.

What are the key skills and qualifications needed to thrive in analytic solutions, and why are they important?

To thrive in Analytic Solutions, you need strong analytical thinking, data interpretation skills, and typically a background in mathematics, statistics, computer science, or a related field. Familiarity with data analytics tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is often required, alongside relevant certifications like Certified Analytics Professional (CAP). Excellent problem-solving abilities, effective communication, and the ability to translate complex data into actionable insights are standout soft skills. These competencies enable professionals to extract meaningful value from data, drive strategic decision-making, and deliver clear, impactful solutions for organizations.

What are some common challenges faced by professionals in analytic solutions roles, and how can they be addressed?

Professionals in Analytic Solutions often encounter challenges such as synthesizing large volumes of complex data from multiple sources and translating findings into actionable business recommendations. Balancing technical analysis with clear communication to non-technical stakeholders is also a frequent hurdle. To address these, it's valuable to develop strong data visualization skills, stay updated on analytic tools, and foster close collaboration with cross-functional teams to ensure insights are both accurate and relevant. Regularly seeking feedback and participating in continuous learning can further help in overcoming these challenges.

What is the difference between Analytic Solutions vs Data Analyst?

AspectAnalytic SolutionsData Analyst
Required CredentialsBachelor's or higher in analytics, statistics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in statistics, data science, or related fields; often similar certifications
Work EnvironmentConsulting firms, tech companies, or enterprise environments focusing on solution deliveryCorporate, finance, healthcare, or marketing departments analyzing data
Employer & Industry UsageUsed in consulting, enterprise solutions, and technology sectorsCommon in business, finance, healthcare, and marketing industries

Analytic Solutions professionals focus on designing and implementing analytical tools and solutions for clients or organizations, often working in consulting or enterprise environments. Data Analysts primarily interpret and analyze data within organizations to support decision-making. While both roles require similar skills and certifications, Analytic Solutions roles emphasize solution delivery and technical implementation, whereas Data Analysts focus on data interpretation and reporting.

More about Analytic Solutions jobs

What job categories do people searching Analytic Solutions jobs look for?

The top searched job categories for Analytic Solutions jobs are:

Analytic Solutions jobs near you
Infographic showing various Analytic Solutions job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $104,929 per year, or $50.4 per hour.

Analytic Solutions Developer I

Kansas City, MO • On-site

Milbank Manufacturing Company
201 - 500 employees
Learn more about Milbank Manufacturing Companyexternal

Other

Posted 13 days ago

Job description

Job Details

Job Location: Kansas City, MO 64120

Position Type: Exempt

Duties

Data Engineering & Analytics: Develop and maintain data pipelines, integrations, ETL processes, dashboards, reports, and analytical solutions.

Collaborate with stakeholders, improve data quality, resolve data issues, and support enterprise data models.

Systems & Integration: Support ERP, CRM, manufacturing, finance, sales, supply chain, and BI integrations. Implement, test, document, and improve data solutions and automation.

Analytics Solutions
  • Develops, maintains, and enhances dashboards, scorecards, reports, and analytical solutions that provide actionable business insights.
  • Translates business requirements into scalable reporting, visualization, and data solutions.
  • Design and maintains data models, metrics, KPIs, and analytical frameworks that support operational and strategic decision-making.
  • Collaborates with business stakeholders to identify opportunities where analytics can improve performance, visibility, and decision-making.
Data Management & Integration
  • Designs, develops, and maintains data pipelines, ETL processes, and integrations between enterprise systems and analytical platforms.
  • Ensures data accuracy, consistency, and integrity across reporting and business intelligence solutions.
  • Researches, diagnoses, and resolves data quality, reporting, and system integration issues.
  • Supports the development and maintenance of enterprise data architecture, standards, and governance practices.
Management and Organization
  • This individual is a team player and works with business leaders and technical stakeholders to plan and organize analytics, automation, and data-driven business solutions.
  • Demonstrates the ability to build strong cross-functional relationships and effectively support Finance, Sales, Operations, Supply Chain, Human Resources, Engineering, and other departments.
  • Responsible for the successful execution of analytics, dashboarding, system integration, and process improvement initiatives while meeting project timelines and business objectives.
  • Ensures reporting solutions, data models, integrations, and supporting documentation are accurate, maintainable, and aligned with company standards and best practices.
Communication
  • Oral communication - Speaks clearly and persuasively in positive or negative situations and demonstrates group presentation skills
  • Provides training, support, and guidance to users of reporting and business intelligence tools
  • Written communication - Demonstrates ability to express complicated and technical matters in a clear, concise manner
Lean Enterprise
  • Establish and utilize frameworks and systems, including tools such as visual management, problem solving, standard work and kaizen.
  • Adhere to and promote the HR Pledge.
  • Cooperate and commit to achieving goals and deliverables in a team environment.
  • Resolve difficult or complicated challenges using the problem-solving process.
  • Actively embrace our core principles.
Competencies
  • Analytical - Synthesizes complex or diverse information
  • Problem solving - Identifies and resolves problems in a timely manner and gathers and skillfully analyzes information
  • Judgment - Displays willingness to make decisions, exhibits sound and accurate judgment and makes timely decisions
  • Planning/organizing - Prioritizes and plans work activities, uses time efficiently and develops realistic action plans
  • Computer skill - Creates and maintains documents, presentations, and analytical content using Microsoft Office applications including Outlook, Word, Excel, PowerPoint, and Teams. Demonstrates proficiency with business intelligence, reporting, and data visualization tools. Utilizes SQL, databases, data integration tools, and enterprise business systems to develop analytical solutions and support business decision-making. Must be able to proficiently utilize ERP, CRM, business intelligence, reporting, and other corporate technology platforms in the completion of tasks. Maintains the ability to learn and adapt to evolving technologies, analytical tools, automation platforms, and AI-enabled business solutions.
Qualifications

Education: Associate’s or bachelor's degree in data analytics, information systems, computer science, business intelligence, engineering, mathematics, or related field and two to five years of experience or commensurate experience.

Experience/Skills/Abilities: Minimum of three years of experience working with business data, databases, reporting systems, analytics platforms, or enterprise applications. Proficiency in SQL development, ETL processes, dashboard development, Power BI, Phocas, Visual Studio Code, data governance, data quality, enterprise business systems, automation, and process improvement.

Travel Required: Minimal

Hours: Regular 40-hour workweek. Minimal overtime as needed.

Working Conditions: Business casual office setting

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