Data Analyst

NO 1099 and NO C2C

Client: EdTech

Title: Data Analyst

Duration: 6 Months (Contact to hire)

Location: 100% Remote

About the Opportunity   

·        As an Engineer I - Data Analyst, you will support day-to-day reporting operations while contributing to ongoing modernization efforts through improved visibility, analytics, and strengthened quality controls. You will work hands-on with operational systems and data to coordinate key milestones, validate outputs, investigate anomalies, and ensure accurate, timely deliverables.

·        In this role, you will support both internal stakeholders and external clients by enabling secure report delivery, driving timely issue resolution, and maintaining a high standard of service that protects the customer experience.

·        You will also contribute to improving operational processes by identifying pain points and helping translate them into practical enhancements.

·        This includes standardizing workflows, strengthening monitoring and validation checks, and implementing repeatable automations that reduce manual effort, improve reliability, and accelerate turnaround times.

In this role, you will:  

Operational Ownership: Report Delivery (60%) 

·        Support end-to-end report delivery for a variety of stakeholders, ensuring outputs are accurate, secure, and delivered on time

·        Maintain delivery calendars and integrated delivery plans, coordinating milestones, dependencies, and readiness checkpoints across cross-functional teams

·        Monitor workflow health and proactively identify risks, escalating issues as needed and contributing to mitigation plans

·        Validate data outputs and perform quality checks to ensure consistency and reliability of reporting deliverables

Analysis and Strategic Improvements (20%)   

·        Review business and technical requirements and provide input into data design, reporting logic, and process improvements

·        Analyze data to identify trends, anomalies, and opportunities for operational improvement

·        Research, experiment with, and adopt new tools, technologies, and approaches to improve automation, scalability, and efficiency

·        Contribute to the development of more standardized, repeatable, and well-documented workflows

Support (20%)   

·        Troubleshoot data and reporting issues, identifying root causes and supporting resolution

·        Fulfill ad hoc data requests and reporting needs for internal and external stakeholders

·        Partner with team members to ensure consistent communication and timely support 

You will have:

·        Bachelor’s degree in Computer Science, Data Analytics, Engineering, or a related field, or equivalent experience

·        1–2 years of experience in data analysis, reporting, or software/data-related roles (internships and academic projects count)

·        Experience working with SQL and Python for data querying and analysis

·        Familiarity with data visualization tools such as Tableau

·        Experience working with large datasets and performing data validation or quality checks

·        Exposure to cloud platforms such as AWS

·        Understanding of data modeling, ETL processes, and data warehousing concepts

·        Exposure to version control (Git) and collaborative development workflows

·        Ability to communicate data insights clearly to both technical and non-technical audiences