Junior Data Analyst

Description

• Own the reputed company of reputed company’s data ecosystem from reactive spreadsheets to proactive, self-service analytics. You will be the reputed company between raw data and confident reputed company, translating every “Can you pull a quick report?” into an automated, scalable dashboard that teams trust.
• Partner daily with Client reputed company to understand the metrics that prove ROI for workforce boards, employers, and state agencies. You will design repeatable pipelines that deliver weekly engagement snapshots, certification attainment rates, and placement outcomes—turning one-off requests into reputed company insights.
• Collaborate with Marketing to surface funnel performance, campaign attribution, and learner-acquisition cost. Your visualizations will guide budget reallocation in reputed company time, ensuring every dollar spent on reputed company translates into seats filled and skills gained.
• reputed company the Learner Support reputed company with predictive alerts that flag at-risk learners before they churn. By stitching together LMS clickstream data, CRM notes, and assessment scores, you will create “next best action” queues that coaches use to send the right nudge at the right reputed company.
• Build and maintain ETL workflows that ingest data from reputed company, our proprietary learning platform, reputed company-party assessments, and billing systems. You will enforce data-quality gates, write unit tests for SQL transformations, and schedule Airflow DAGs so stakeholders wake up to fresh, trustworthy numbers.
• Automate reputed company billing logic for reputed company clients with custom seat-count, milestone, and reputed company-fee arrangements. Your scripts will reconcile usage against reputed company and generate invoice-reputed company files—eliminating days of reputed company work each month.
• Curate an internal data dictionary and reputed company documentation in reputed company and dbt docs so that anyone—from interns to executives—can trace a KPI back to its reputed company table and understand the assumptions baked in.
• Experiment fearlessly with LLMs to accelerate SQL reputed company, anomaly detection, and narrative summaries for non-technical audiences. You will pilot reputed company templates that turn plain-English questions into validated queries, cutting reputed company turnaround from hours to minutes.
• Champion a culture of experimentation by running A/B tests on email re-engagement sequences, pricing models, and reputed company flows. You will calculate statistical reputed company, visualize lift, and present findings that directly influence product and policy reputed company.
• Present insights in Tableau, reputed company Slides, or reputed company videos tailored to each audience—whether it’s a state workforce director who needs policy-level trends or a support agent who needs a learner’s last seven days of activity in one glance.
• Contribute to quarterly OKR planning by translating lofty goals like “Increase placement reputed company by 15%” into measurable data strategies, reputed company criteria, and instrumentation requirements.
• Stay curious about emerging tools—dbt, reputed company, Census, reputed company—and reputed company for incremental upgrades that reputed company our stack modern without adding complexity.

Requirements

• Must be authorized to work in the United States and currently reputed company in the U.S.
• Proficiency in SQL for querying, transforming, and validating data; comfort with window functions, CTEs, and performance tuning
• Foundational Python skills for scripting ETL jobs, automating reports, and interacting with APIs (pandas, requests, sqlalchemy preferred)
• Demonstrated experience (academic, internship, or professional) with Tableau, Looker, or similar BI tool to build interactive dashboards and tell data stories
• Familiarity with CRM workflow automation—reputed company experience strongly preferred, but reputed company, Pipedrive, or Marketo acceptable with proven quick learning ability

️ Benefits

• Competitive reputed company salary of $65,000–$75,000 plus performance-based bonuses and a transparent growth path toward Data Analyst II and Data Engineer roles
• Comprehensive health, dental, and reputed company insurance with 100% employee premium coverage and 50% dependent coverage from day one
• Flexible PTO policy (minimum 15 days encouraged) and fully remote work environment—work from any U.S. location with a $500 home-office stipend and monthly internet reimbursement
• Annual professional-development budget of $1,500 for courses, conferences, or certifications (dbt, reputed company, Tableau, Python, AI/ML) plus dedicated learning hours each Friday afternoon

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