Edtech.com's Summary

Frontline Education is hiring an Implementation Specialist - Data & Analytics. The role involves managing data requests from intake to delivery, transforming and validating data to produce accurate analytic models, and collaborating with Advisors to ensure outputs align with client needs. The specialist will also drive process improvements and leverage emerging technologies to enhance data quality and operational efficiency.

Highlights

Owns delivery of data-related tasks from initial request through final output, ensuring accuracy and completeness
Transforms ambiguous requests into structured, executable workflows with defined success criteria
Validates and reconciles datasets to support reliable analytics models and client reporting
Partners with Advisors to align priorities, communicate progress and escalate risks
Utilizes spreadsheets and data tools; explores automation and AI-assisted methods to improve work speed and quality
Requires experience handling data professionally or academically, strong communication skills, and ability to manage multiple priorities
Preferred familiarity with data modeling, automation, and exposure to education or operational data environments
Compensation range is $60,000 to $68,000 depending on experience and location, with eligibility for bonuses and benefits
Encourages continuous learning with access to courses, AI skill building, and tuition reimbursement
Frontline Education emphasizes an inclusive work environment and equal opportunity employment

Implementation Specialist - Data & Analytics Full Description

Implementation Specialist - Data & Analytics

Location: United States

Description

Implementation Specialist – Data & Analytics

Location Requirements: Remote, US

Local to Naperville, IL preferred. This position can be remote within the United States

How you'll contribute to our mission

As an Implementation Specialist at Frontline Education, you play a critical role in helping schools and districts operate more effectively using data and technology. You take ownership of incoming requests and turn them into accurate, reliable outputs that support real decisions.

Working within our Data & Analytics Services team, you partner closely with Advisors and teammates to translate needs into structured, executable work. You are responsible not just for completing tasks, but for ensuring the work is correct, complete, and aligned to the intended outcome.

Your work builds trust in the systems and insights that educators rely on every day.

How you'll drive success

Own work from initial request through final delivery, ensuring outputs are accurate, complete, and aligned to the intended use
Translate ambiguous or incomplete requests into clear, structured work with defined inputs, outputs, and success criteria
Transform, validate, and configure data to support reliable models and outputs
Build quality into your process through validation, reconciliation, and thoughtful checks before delivery
Identify issues, inconsistencies, or risks early and take action to resolve them or escalate when appropriate
Challenge unclear, incorrect, or inefficient requests when necessary to ensure quality outcomes
Partner effectively with Advisors by providing clear updates, surfacing risks, and aligning on priorities
Manage multiple requests and priorities while maintaining consistency and attention to detail
Contribute to more efficient and scalable ways of working through documentation, standardization, and process improvement
Use available tools, automation, and emerging technologies to improve both speed and quality of work

Examples of work may include:

Preparing and validating datasets for use in analytics models
Building or updating client models using structured data inputs
Reviewing and reconciling data to ensure accuracy and completeness
Mapping client data to standard structures or frameworks
Refreshing or updating models with new data on a recurring basis

Performance Objectives and Competencies

Own End-to-End Delivery Outcomes

Takes full responsibility for assigned work from intake through delivery
Delivers outputs that do not require rework by Advisors or teammates
Ensures outputs are complete, accurate, and aligned to intended use
Follows through on commitments and meets agreed-upon timelines
Proactively identifies gaps in requests and resolves them before execution

Translate Ambiguity into Structured Work

Breaks down unclear or incomplete requests into defined steps, inputs, and expected outputs
Asks targeted questions to clarify intent rather than waiting for direction
Applies sound judgment to move work forward when full information is not available
Knows when to proceed independently vs. when to align or escalate
Challenges unclear, incorrect, or inefficient requests to ensure the right work is being done

Ensure Data Integrity and Model Quality

Validates data inputs for accuracy, completeness, and reasonableness
Applies consistent logic and standards when building or updating models
Performs reconciliation and quality checks before delivery
Identifies anomalies or inconsistencies and investigates root causes
Takes accountability for the quality of outputs, not just completion of steps

Operate Effectively Within the Advisor Model

Partners with Advisors to support client outcomes without requiring direct client ownership
Communicates clearly on progress, risks, and open questions
Aligns work to priorities set by Advisors and broader team goals
Escalates issues appropriately when they impact timelines, quality, or client outcomes

Improve Systems, Not Just Complete Tasks

Identifies inefficiencies, recurring issues, or gaps in current workflows
Contributes to documentation, standardization, and repeatable processes
Suggests and implements improvements that increase team efficiency or quality
Shares knowledge and practices that help the broader team perform more effectively

Leverage Tools and AI to Improve Outcomes

Uses spreadsheets and data tools effectively to organize, analyze, and transform data
Explores automation and AI-assisted approaches to improve speed and reduce manual effort
Applies technology thoughtfully to enhance accuracy and consistency
Demonstrates curiosity and willingness to adopt new tools and ways of working

Requirements

Required

Experience working with data in a professional or academic setting, including organizing, transforming, or validating datasets
Ability to use spreadsheets or similar data tools to manage and interpret information
Strong attention to detail and a consistent track record of delivering accurate, reliable work
Ability to work through ambiguity and translate unclear inputs into structured, executable tasks
Clear communication skills, with the ability to collaborate effectively and surface issues early
Ability to manage multiple priorities and follow through on commitments
Demonstrated ownership of work and accountability for outcomes, not just task completion

Preferred

Experience in analytics, implementation, or service-oriented environments
Familiarity with data modeling, data mapping, or structured data workflows
Exposure to automation, process improvement, or workflow optimization
Experience working with or learning new technologies, including AI-assisted tools
Domain exposure to education, finance, or operational data environments

What you'll need to thrive

You take ownership of outcomes and hold yourself accountable for delivering work others can rely on. You are comfortable working through ambiguity and take initiative to move work forward rather than waiting for direction.

You approach problems with structure and curiosity, seeking to understand both what needs to be done and why it matters. You are willing to challenge assumptions or requests when needed to ensure the right outcomes are achieved.

You are adaptable in evolving environments and open to improving how work gets done through new tools, technologies, and approaches. You collaborate effectively, communicate clearly, and contribute to a team culture focused on quality, accountability, and continuous improvement.

Our Mission, Our People, Our Purpose

At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.

As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.

How We Support Growth, Balance, and Well-Being
• Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.
• Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.
• Volunteer Time Off: Paid time to give back and support causes that matter to you.
• Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.
• Our Philosophy: We believe time away from work helps you bring your best self to it.

Continuous Learning and Growth
• World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.
• Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.
• AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.
• Tuition Reimbursement: Invest in formal education to advance your skills and career.
• Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement.

Health, Happiness, and Purpose
• Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.
• Employee Assistance Program (EAP): Confidential support for you and your family’s needs.
• Comprehensive Benefits: Health and financial benefits that support your happiness and future.
• A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully.

Compensation & Benefits

Frontline Education offers a competitive compensation range of $60-68,000.00 and package designed to support long-term career growth and well-being. Compensation for this role will be determined based on experience, location, and internal equity.

Eligible employees may also participate in bonus opportunities, retirement programs, and comprehensive health and wellness benefits.

Inclusion, Belonging & Equal Opportunity

Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.

Interview Process & Data Privacy

As part of our interview process, Frontline uses video conferencing tools that include photo capture and may include automated transcription features. A screenshot or photo will be taken at the start of the interview for internal identification and record-keeping purposes only, and transcription may be used to support notetaking and evaluation consistency. These materials are used solely by our recruiting and hiring teams, stored securely, and not shared outside the hiring process. Candidates may opt out of the transcription at any time by notifying their recruiter in advance. Frontline processes this information in accordance with applicable data privacy laws and only for legitimate business purposes related to recruitment and hiring.

Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.

Original Job Description

Implementation Specialist - Data & Analytics

Location: United States

Description

Implementation Specialist – Data & Analytics

Location Requirements: Remote, US

Local to Naperville, IL preferred. This position can be remote within the United States

How you'll contribute to our mission

Your work builds trust in the systems and insights that educators rely on every day.

How you'll drive success

Own work from initial request through final delivery, ensuring outputs are accurate, complete, and aligned to the intended use
Translate ambiguous or incomplete requests into clear, structured work with defined inputs, outputs, and success criteria
Transform, validate, and configure data to support reliable models and outputs
Build quality into your process through validation, reconciliation, and thoughtful checks before delivery
Identify issues, inconsistencies, or risks early and take action to resolve them or escalate when appropriate
Challenge unclear, incorrect, or inefficient requests when necessary to ensure quality outcomes
Partner effectively with Advisors by providing clear updates, surfacing risks, and aligning on priorities
Manage multiple requests and priorities while maintaining consistency and attention to detail
Contribute to more efficient and scalable ways of working through documentation, standardization, and process improvement
Use available tools, automation, and emerging technologies to improve both speed and quality of work

Examples of work may include:

Preparing and validating datasets for use in analytics models
Building or updating client models using structured data inputs
Reviewing and reconciling data to ensure accuracy and completeness
Mapping client data to standard structures or frameworks
Refreshing or updating models with new data on a recurring basis

Performance Objectives and Competencies

Own End-to-End Delivery Outcomes

Takes full responsibility for assigned work from intake through delivery
Delivers outputs that do not require rework by Advisors or teammates
Ensures outputs are complete, accurate, and aligned to intended use
Follows through on commitments and meets agreed-upon timelines
Proactively identifies gaps in requests and resolves them before execution

Translate Ambiguity into Structured Work

Breaks down unclear or incomplete requests into defined steps, inputs, and expected outputs
Asks targeted questions to clarify intent rather than waiting for direction
Applies sound judgment to move work forward when full information is not available
Knows when to proceed independently vs. when to align or escalate
Challenges unclear, incorrect, or inefficient requests to ensure the right work is being done

Ensure Data Integrity and Model Quality

Validates data inputs for accuracy, completeness, and reasonableness
Applies consistent logic and standards when building or updating models
Performs reconciliation and quality checks before delivery
Identifies anomalies or inconsistencies and investigates root causes
Takes accountability for the quality of outputs, not just completion of steps

Operate Effectively Within the Advisor Model

Partners with Advisors to support client outcomes without requiring direct client ownership
Communicates clearly on progress, risks, and open questions
Aligns work to priorities set by Advisors and broader team goals
Escalates issues appropriately when they impact timelines, quality, or client outcomes

Improve Systems, Not Just Complete Tasks

Identifies inefficiencies, recurring issues, or gaps in current workflows
Contributes to documentation, standardization, and repeatable processes
Suggests and implements improvements that increase team efficiency or quality
Shares knowledge and practices that help the broader team perform more effectively

Leverage Tools and AI to Improve Outcomes

Uses spreadsheets and data tools effectively to organize, analyze, and transform data
Explores automation and AI-assisted approaches to improve speed and reduce manual effort
Applies technology thoughtfully to enhance accuracy and consistency
Demonstrates curiosity and willingness to adopt new tools and ways of working

Requirements

Required

Experience working with data in a professional or academic setting, including organizing, transforming, or validating datasets
Ability to use spreadsheets or similar data tools to manage and interpret information
Strong attention to detail and a consistent track record of delivering accurate, reliable work
Ability to work through ambiguity and translate unclear inputs into structured, executable tasks
Clear communication skills, with the ability to collaborate effectively and surface issues early
Ability to manage multiple priorities and follow through on commitments
Demonstrated ownership of work and accountability for outcomes, not just task completion

Preferred

Experience in analytics, implementation, or service-oriented environments
Familiarity with data modeling, data mapping, or structured data workflows
Exposure to automation, process improvement, or workflow optimization
Experience working with or learning new technologies, including AI-assisted tools
Domain exposure to education, finance, or operational data environments

What you'll need to thrive

Our Mission, Our People, Our Purpose

Compensation & Benefits

Eligible employees may also participate in bonus opportunities, retirement programs, and comprehensive health and wellness benefits.

Inclusion, Belonging & Equal Opportunity

Interview Process & Data Privacy

Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.

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Implementation Specialist - Data & Analytics

Edtech.com's Summary

Implementation Specialist - Data & Analytics Full Description

Implementation Specialist - Data & Analytics

Advanced Associate, Data Analyst

Research and Data Analyst

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Stud Data Analyst (Dr. Ramesh Singh)