The Data Analyst transforms raw academic documents and course datasets into clean, reliable, and actionable information. This role ensures near-perfect accuracy of transcript extraction and course catalog data to support the Human-in-the-Loop (HITL) Maker/Checker Pod, Transfer Credit Evaluation (TCE) workflows, and the PROSPECT Course Co-Pilot. The analyst combines data processing, quality assurance, and analytical skills to improve AI outputs and enable strong academic-mapping products for customers.
Responsibilities
- Conduct end-to-end data processing for transcripts and academic records, ensuring 99%+ accuracy as part of the HITL model.
- Review, validate, and correct AI-generated extractions to meet customer SLAs and prevent churn.
- Support the creation, maintenance, and optimization of datasets used for TCE and PROSPECT operations.
- Scrape, structure, and standardize course catalog data for use in the Course Co-Pilot model.
- Develop reporting dashboards that monitor accuracy rates, processing times, and dataset quality.
- Participate in the design of data workflows to improve efficiency and quality control.
- Identify data trends, anomalies, and opportunities for product or process improvements.
- Work closely with Professional Services, Product, and Engineering to refine AI prompts, extraction rules, and validation logic.
Essential Functions
- Interpret complex academic datasets and generate insights that support product decision-making and operational efficiency.
- Build and maintain databases, structured data repositories, and data validation systems.
- Acquire, clean, normalize, and verify data from multiple sources, including university catalogs, transcripts, and external databases.
- Detect and resolve data inconsistencies, classification errors, and mapping issues.
- Document workflow improvements and analytics procedures.
- Prioritize data and reporting needs based on business urgency and customer impact.
Minimal Qualifications
- 1+ years of experience as a Data Analyst, Operations Analyst, Academic Evaluator, or similar role.
- Proven experience with data quality assurance, data cleaning, and structured data workflows.
- Working knowledge of SQL and familiarity with data pipelines or ETL principles.
- Strong analytical and problem-solving skills with close attention to detail.
- Experience using Excel and at least one analytical/statistical tool (R, Python, SPSS, SAS, etc.).
- Ability to work in fast-paced environments with strict accuracy and turnaround requirements.
Preferred Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or related field.
- Experience with academic data, student information systems, or course catalog structures.
- Familiarity with AI-assisted data extraction workflows or Human-in-the-Loop operations.
- Experience with data visualization tools (Looker Studio, Power BI, Tableau).
Top Competencies for Success in This Role
- SQL & Data Querying – Retrieves, joins, and filters data efficiently to support accurate dashboards and audits.
- Data Visualization & Reporting – Builds clear reports that highlight accuracy, workload, and process performance.
- Data Analysis – Identifies trends, patterns, anomalies, and opportunities for workflow improvement.
- Quality Assurance Mindset – Ensures that all outputs meet the 99% accuracy expectation for HITL operations.
- Business & Product Acumen – Understands how data quality impacts TCE customers, PROSPECT functionality, and retention.
Top Skills
What We Do
Decisions provides a rules-driven, no-code platform, enabling companies to drastically reduce their time to market for their applications. Decisions technology is deployed as the basis of multiple commercial applications in healthcare, life sciences, finance, logistics, and operations software. It is used directly by companies on almost every continent, ranging from mid-size companies to many Fortune 500 corporations.
Decisions provides one no-code platform for all types of business processes. With our no-code visual designer you can deploy fast and empower business users to manage their own processes. There are thousands of features built-in, ready to drag and drop and you’re done! Our rules-driven automation allows you to adapt quickly to price changes, regulations, customer demands and more.
We have seen technology evolve rapidly during the past decade, and the disruption of Covid-19 cannot be understated. Entire industries have been forced to reengineer how they get work done. The chaos caused by the pandemic has shown how ill-prepared many businesses are to adapt to sudden changes. For example, processing paperwork is difficult when employees are remote and paper forms are physically at the office.
Without automation, these processes grind to a halt. Systems and processes that are inflexible and cannot scale break down when people change their behavior all at once. These are just some of the challenges presented by the global pandemic that are accelerating the adoption of automation and digital transformation.
We remain committed to delivering an experience that gives more control and configuration ability to administrators. Specifically, allowing programmers to build things that can be configured by non-programmers in a way that is safe, visible and flexible. This challenge has driven us to create numerous technologies in use today at some of the world's largest and most innovative companies.
