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Data Analyst II

Data Analyst II

Council-for-professional-recognitionUnited States, United States, United States
30+ days ago
Job type
  • Full-time
  • Remote
Job description

JOB SUMMARY

The Council for Professional Recognition promotes improved performance and recognition of professionals in the early childhood education of children ages birth to 5 years old. The Council works to ensure that all professional early childhood educators and caregivers meet the developmental, emotional, and educational needs of our nation’s youngest children. We are dedicated to fostering a supportive and inclusive environment where early childhood educators can thrive and grow. By providing resources, training, and advocacy, we aim to elevate the standards of early childhood education and ensure that every child receives the highest quality of care and education.

The Data Analyst will play a key role in leveraging data to drive strategic decision-making within the Council. The analyst will analyze large datasets, identify trends, and provide actionable insights to improve business operations, optimize processes, and support data-driven decision-making. The analyst is responsible for data mining and data exploration to identify patterns and trends in data. They will be expected to use tools and techniques to improve business processes. The analyst will build models and simulations that can predict the future outcomes of business decisions. The ideal candidate will collaborate with stakeholders across departments to understand business needs, ensure data accuracy, develop meaningful reports and comprehensive dashboards and visualizations. Successful analysts will be extraordinarily inquisitive and possess the technical skills necessary to tell persuasive stories both in writing and through complex visualizations.

JOB RESPONSIBILITIES

Data Analysis & Insights :

  • Analyze business data to identify trends, patterns, and opportunities for process improvement.
  • Extract insights from the data and provide solutions to business challenges using the insights generated.
  • Create complex and sophisticated dashboards and visualizations using BI tools (e.g., Power BI, Tableau, Looker).
  • Conduct ad-hoc analyses to answer business questions and provide recommendations.
  • Support data-driven decision-making by collecting, storing, processing, and generating insights from data by translating complex data into actionable insights.
  • Utilize strategies including predictive and prescriptive analytics to aid in strategic decision-making.

Data Governance & Quality :

  • Ensure data accuracy, consistency, and integrity across business systems.
  • Collaborate with IT and data governance teams to maintain high-quality master data.
  • Monitor and resolve data quality issues, ensuring compliance with business rules.
  • Document business data definitions, KPIs, and calculations for consistency across the organization.
  • Business Collaboration & Reporting :

  • Work closely with business stakeholders to understand data needs and develop analytical solutions.
  • Gather, analyze, and document business requirements for reporting and analytics.
  • Support business units in measuring performance, identifying gaps, and making data-driven decisions.
  • Automate and optimize recurring reporting processes for efficiency.
  • Produce persuasive reports and papers that tell the story of the Council’s data.
  • Create and maintain dashboards
  • Process Improvement & Strategy Support :

  • Identify inefficiencies and recommend improvements using data-driven insights.
  • Support forecasting and predictive analytics initiatives to drive business growth.
  • Assist in strategic planning by providing data-backed recommendations.
  • Work on cross-functional projects to align business objectives with data strategies.
  • Compliance & Risk Management :

  • Ensure compliance with data privacy, security, and governance policies.
  • Assist in data audits and maintain accurate documentation of data processes.
  • Advocate for data literacy and best practices across business teams.
  • PREFFERED QUALIFICATIONS

  • Education : Bachelor’s degree in business Analytics, Data Science, Statistics, Economics, or a related field. Master’s degree is a plus.
  • Experience : 5+ years of experience in data analysis, business intelligence, or a similar role.
  • Skills : Strong mathematics skills, expertise in statistical analysis and machine learning.
  • Technical Proficiency : Proficiency in SQL, R, Python, and other tools for data extraction and manipulation. Expertise with data visualization tools (Power BI).
  • Characteristics : Curious and a quick study, strong analytical and problem-solving skills.
  • Knowledge : Understanding of data governance, data quality, and master data management concepts.
  • Communication : Excellent communication skills to translate complex data insights for non-technical stakeholders. The ability to tell a compelling story through words and visualizations.
  • Work Style : Ability to work independently and collaboratively in a fast-paced business environment.
  • PHYSICAL DEMANDS

    Note : The physical demands described herein are characteristic of those that must be met to successfully perform the essential functions of this position. Constantly operates a computer. Regularly required to maintain a stationary position, move about the office, determine what others have said or written, and frequently converse with others and exchange accurate information. Regularly required to sit, stand, bend, reach, and move about the office. May also include occasional bending, stooping, squatting, and / or pushing and pulling or moving, e.g., to pack, unpack, and / or move cases. Walking up and down stairs, often while carrying objects. Required to move, raise, reach, and / or retrieve binders, books, boxes, and files up to ten (10) pounds (lbs.). Sporadically, could be responsible for moving, raising, reaching, and / or retrieving binders, boxes, cases, and / or files weighing as much as 25 lbs. (Assistance may not always be available.)

    Salary :

    The salary range is $97,000-107,000. This position is budgeted not to exceed the $107,000.

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