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Entry Level Data Analyst Ai Jobs in Springfield, MA

The Data Analyst will own production reporting, demand planning analytics, KPI dashboards, and ... Experience with BI/visualization and AI tools. * Strong Excel/Google Sheets skills including pivot ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Entry Level Data Analyst Ai information

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How much do entry level data analyst ai jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for entry level data analyst ai in Springfield, MA is $32.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.63 per hour, depending on experience, location, and employer.

What are entry level data analyst AI jobs?

Entry level data analyst AI jobs involve collecting, cleaning, and interpreting data to help organizations make informed decisions, with a focus on supporting artificial intelligence projects. These roles may include preparing datasets for machine learning models, analyzing trends, and creating reports or visualizations. While these positions require strong analytical and problem-solving skills, they are suitable for those beginning their career in data analysis and AI, often requiring knowledge of basic programming languages, statistics, and data tools.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need a solid understanding of statistics, data cleaning, and foundational analytics concepts, often supported by a degree in a related field such as mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software (e.g., Tableau or Power BI), as well as basic knowledge of programming languages like Python or R, is typically expected. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for clearly interpreting and presenting data insights. These skills and qualifications are vital for accurately analyzing data, supporting business decisions, and effectively collaborating with team members.

What are some common challenges faced by entry-level Data Analysts working with AI projects, and how can they overcome them?

Entry-level Data Analysts in AI projects often face challenges such as understanding complex data structures, adapting to rapidly evolving tools, and interpreting results from advanced machine learning models. Collaborating closely with data scientists and engineers can help bridge knowledge gaps and foster learning. Staying proactive in seeking mentorship, participating in code reviews, and dedicating time to continuous learning are effective strategies to overcome these hurdles and quickly grow in the role.
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Infographic showing various Entry Level Data Analyst Ai job openings in Springfield, MA as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Data Analyst

Fine Fettle

Hartford, CT โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Come Join Our Fine Fettle Family!

About the Company:

Fine Fettle is a family owned, locally run multi-state cannabis company with operations across Connecticut, Georgia, and Massachusetts. As a leading cannabis retailer, our mission is to create comfort in cannabis while enabling customers and patients to realize cannabis' full potential to improve their lives. We are dedicated to providing exemplary products and superior customer experiences. We believe that we can truly make a difference in the lives of our patients and customers by utilizing our expertise to educate them about the plant and provide them with the right products to enhance their health and wellbeing. We help customers incorporate cannabis into their lives in ways that optimally fit their individual needs. To support this mission, we are seeking driven, dedicated, and collaborative individuals who are passionate about contributing to our continued growth within the dynamic cannabis industry.

About the Role:

Fine Fettle is seeking a detail-oriented and analytically driven Data Analyst to join our Production Operations team. This role sits at the intersection of data, operations, commercial, and finance serving as a critical resource for our Production Operations department and cross-functional stakeholders. The Data Analyst will own production reporting, demand planning analytics, KPI dashboards, and financial reporting workflows, translating raw operational data into clear, actionable insights that drive decisions across the business and to the customer.

The ideal candidate brings experience in a regulated manufacturing or cultivation environment, thrives in fast-paced settings with evolving data needs, and understands the unique compliance and reporting requirements of the cannabis industry.

Primary Responsibilities Include, but Are Not Limited To:

This role encompasses the following key areas of responsibility, supporting the seamless execution and organization of Fine Fettle's Cannabis Production & Operations across the business. Key responsibilities include:

Production Reporting:

  • Build and maintain daily, weekly, and monthly production reports tracking yield, throughput, batch performance, and waste
  • Analyze production data to identify trends, inefficiencies, and opportunities for process improvement
  • Reconcile production actuals against targets and communicate variances to the production leadership
  • Support state/regulatory reporting requirements including state traceability data validation and audits

Demand Planning Reporting:

  • Partner with sales, inventory, and production teams to develop and maintain demand forecasting models
  • Monitor and report on SKU-level demand trends, seasonality patterns, and sell-through rates
  • Maintain rolling demand plans and flag supply-demand imbalances to enable proactive production scheduling
  • Produce weekly and monthly demand planning dashboards for leadership review

Metrics & KPI Reporting:

  • Design, build, and own operational KPI dashboards using BI tools (e.g., Power BI, Tableau, Looker, or equivalent)
  • Define and document metric definitions in collaboration with department heads to ensure consistency across reporting
  • Deliver recurring performance scorecards for production, quality, fulfillment, and compliance
  • Alert stakeholders to metric anomalies and support root cause investigation

Financial Reporting & Analysis:

  • Assist with financial analysis, standard cost updates, and variance reporting
  • Support budget vs. actuals analysis for the production department in coordination with the Finance team
  • Develop financial models and ad hoc analyses to support capital and operational decisions
  • Prepare monthly and quarterly reporting packages for internal review by leadership

Chief of Staff Support:

  • Act as a data and analytical resource for the Chief of Staff, preparing materials for executive presentations, board updates, and operational reviews
  • Conduct ad hoc research and analysis to support strategic initiatives, vendor evaluations, or operational problem-solving
  • Help manage reporting calendars, ensuring all deliverables are accurate and delivered on schedule
  • Translate complex data findings into clear narratives and visualizations for non-technical audiences

Skills and Qualifications:

  • Bachelor's degree in data Analytics, Business Intelligence, Finance, Statistics, Supply Chain, or a related field
  • 2+ years of experience in a data analyst, operations analyst, or similar role
  • Proficiency in SQL for querying and manipulating large datasets
  • Experience with BI/visualization and AI tools.
  • Strong Excel/Google Sheets skills including pivot tables, advanced formulas, and data modeling
  • Demonstrated ability to build clear, audience-appropriate reports and dashboards
  • High attention to detail and comfort working with data integrity and reconciliation
  • Experience in cannabis, agriculture, CPG, pharmaceutical, or another regulated manufacturing environment is preferred
  • Familiarity with METRC, BioTrack, or other cannabis seed-to-sale traceability platforms is valuable
  • Exposure to ERP systems and data extraction from these environments
  • Experience supporting demand planning or supply chain analytics functions
  • Knowledge of Python or R for data processing and automation
  • Understanding of cannabis compliance frameworks, state licensing requirements, and operational restrictions is advantageous
  • Ability to pass a Federal Background Check with no felony convictions

Critical Competencies:

  • Analytical Rigor: Breaks down complex problems into structured analyses; validates findings before sharing.
  • Communication: Presents data clearly to both technical and non-technical stakeholders.
  • Ownership: Takes end-to-end accountability for reporting accuracy and timeliness.
  • Adaptability: Thrives in a dynamic, evolving environment with shifting priorities.
  • Collaboration: Works effectively across production, finance, and compliance teams.
  • Process Orientation: Documents methods, builds repeatable workflows, and continuously improves outputs.

Benefits:

  • Competitive pay with opportunities for growth, development, and advancement.
  • Comprehensive benefit packages that offer medical, dental, vision, and life insurance.
  • Paid time off, including holidays and vacation days.
  • 401(k) Retirement Savings Plan with Employer Matching Contributions.
  • Generous Employee Discount.
  • A collaborative and supportive work environment at a growing company.

Americans With Disabilities Statement:

Must be able to perform all essential functions of this position with reasonable accommodation. If you need accommodation during the application and/or hiring process, please reach out to our HR Department.

EEO Statement:

We are an Equal Opportunity Employer. Our goal is to be a diverse workforce that is representative, at all job levels, of the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veterans' status, and will not be discriminated against on the basis of disability or any other applicable legally protected characteristic.