Top Entry Level Data & Analytics Jobs

Evaluates search engine results and provides feedback on text, audio, images, and videos to improve AI and online search experiences. The role requires Italian and English proficiency, strong online research and critical-thinking skills, reliable home-office technology, adherence to quality standards, completion of training and testing, and a commitment of 5–20 hours weekly.

Assists with designing, implementing, and maintaining databases in server environments. Develops and tests stored procedures and queries, creates data mappings, maintains integrations between database systems, and collaborates with departments to understand data collection, storage, and reporting needs.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Design, build, and optimize scalable data pipelines, analytics tools, and cloud-based data solutions. Develop modular production code, conduct peer reviews, apply test-driven development, document systems, and support production data environments. The role involves distributed systems, big data platforms, Kubernetes, cloud migration, stakeholder communication, and technical leadership supporting USTRANSCOM JFOSS.

Provides administrative and data support for Healthy Families America and Parents as Teachers programs. Responsibilities include high-volume data entry, database maintenance, data cleaning, reporting, evaluation analysis, survey development, chart auditing, compliance documentation, inventory management, referral tracking, and administrative support. The role requires maintaining data accuracy, developing Excel and Access systems, protecting HIPAA information, and occasionally traveling for meetings or home visits.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.

Design and operate end-to-end infrastructure for intracortical neural data, from ingestion and validation through preprocessing, versioned dataset releases, and training data loaders. Preserve scientific metadata and provenance while implementing signal processing, quality checks, storage optimization, parallel processing, and monitoring. Collaborate with neuroscience, machine learning, infrastructure, and IT teams to support scalable, reliable model training and sensitive research-data management.

Leads and manages an analytics engineering team while contributing to data transformation, modeling, quality, and delivery solutions. Establishes modeling and development standards, implements analytics engineering tools, supports client engagements, improves reporting and visualization processes, allocates team resources, mentors engineers, supports presales, and drives internal quality and process improvements.

Vets telephone numbers for ownership and Right of Use, investigates discrepancies and suspicious activity, manages verification tickets, and communicates findings to clients and internal teams. Uses SQL and Excel to analyze data, develop reports and dashboards, identify trends, and support process improvements. Participates in tool testing, documentation, requirements gathering, and workflow enhancements while mentoring interns and junior team members.

Analyze Walmart Scintilla data to support merchandise, demand, inventory, allocation, and planning decisions. Build SQL queries, analytical models, executive reports, and interactive dashboards using Snowflake and preferably Looker. Validate data integrity, audit query logic and AI-generated outputs, resolve anomalies, and translate complex datasets into actionable commercial insights. The role also mentors colleagues on analytical methods and AI-enabled workflows. This is a full-time, five-day onsite position in Miami.