Turn Raw Data Into Decisions With Pipelines & Analytics
From ETL pipelines and data warehouses to predictive models and real-time dashboards — hire verified data professionals who make your data work for your business.
What Are Data & Analytics Services?
Data & analytics services cover everything from collecting and transforming raw data to building the pipelines, warehouses, models, and dashboards that help businesses make informed decisions. At the core are ETL/ELT pipelines — automated workflows that extract data from sources like APIs, databases, SaaS tools, and files, transform it into a usable format, and load it into a centralized warehouse or lakehouse where it can be queried and visualized.
Beyond pipelines, this category includes predictive analytics and machine learning — using historical data to forecast outcomes like customer churn, demand spikes, or revenue trends. It also covers computer vision systems that analyze images and video for tasks like quality inspection, object detection, or retail analytics. And for many teams, the most visible output is the dashboard: a real-time, interactive view of business KPIs that turns complex data into clear, actionable insights.
Whether you're a startup that needs its first analytics pipeline or an enterprise consolidating data from dozens of tools into a modern warehouse, this category connects you with verified data engineers and data scientists who build reliable, scalable data infrastructure that grows with your business.
See it in action
A streaming ETL pipeline, live
Three sources flowing into dbt, materialized into BigQuery, with live row counters, freshness, and quality scoring. Real production architecture, simulated load.
When Do You Need Data & Analytics?
Common scenarios where businesses invest in data infrastructure and analytics to drive growth.
ETL / ELT Pipeline
Extract data from multiple sources — APIs, databases, files — transform it, and load it into a warehouse for unified reporting and analysis.
Executive Dashboards
Build real-time dashboards that visualize KPIs, revenue trends, and operational metrics so leadership can make data-driven decisions at a glance.
Predictive Analytics
Use machine learning to forecast sales, churn, demand, or risk — turning historical data into actionable predictions that inform strategy.
Computer Vision Pipeline
Build image and video analysis systems for quality inspection, object detection, medical imaging, or retail analytics using deep learning models.
Data Quality & Cleaning
Standardize messy data across systems — deduplicate records, normalize formats, validate entries, and create a single source of truth.
Real-Time Event Streaming
Process high-volume event data in real time with Kafka, Spark, or Flink for live analytics, fraud detection, or operational monitoring.
Example Projects
Real project briefs showing the kind of data work our professionals deliver.
Multi-Source Data Warehouse for E-Commerce Brand
Built an ELT pipeline using dbt + BigQuery that consolidates Shopify orders, Google Ads, Meta Ads, and Klaviyo email data into a single warehouse. Created 15+ Looker dashboards for marketing and finance teams.
Customer Churn Prediction Model for SaaS
Developed a gradient-boosted churn model using Python, scikit-learn, and historical subscription data. Deployed as a FastAPI endpoint with a Retool dashboard for the customer success team to track at-risk accounts.
Automated Financial Reporting Pipeline
Created an Airflow-orchestrated pipeline that pulls data from QuickBooks, Stripe, and Payroll APIs nightly, transforms it into standardized financial reports, and delivers them via email and Slack every Monday.
Product Quality Inspection with Computer Vision
Trained a YOLOv8 object detection model to identify manufacturing defects on a conveyor belt camera feed. Integrated with the factory's MES system to automatically flag and route defective items.
What You'll Get
- Data pipeline (ETL/ELT) with orchestration and scheduling
- Data warehouse or lakehouse setup and schema design
- Interactive dashboards and visualizations (Looker, Metabase, Tableau, or custom)
- Machine learning model with training, evaluation, and deployment
- Data quality checks, validation rules, and monitoring alerts
- API endpoints for model inference or data access
- Documentation: data dictionary, pipeline architecture, and runbooks
- Performance benchmarks and optimization recommendations
Tech Stack & Tools
Ecosystem at a glance
Skills You'll Get Access To
Every professional matched to your project is verified in these core competencies.
Timeline & Budget Guide
Typical ranges to help you plan. Actual costs depend on data volume, source count, and model complexity.
Single-source pipeline with basic transformations and a dashboard or report
Multi-source warehouse with dbt models, scheduled orchestration, and interactive dashboards
Enterprise data platform with ML models, real-time streaming, governance, and multi-team dashboards
What REWORK Provides
We don't just connect you with talent — we support the entire project lifecycle.
AI Brief Generation
Describe your data challenge in plain language and our AI generates a detailed project brief with architecture, tools, and budget estimates.
Escrow Protection
Funds are held securely until milestones are met. You only pay for completed, approved work.
Professional Matching
We match you with verified data engineers and scientists based on your stack, timeline, and budget.
Project Management Tools
Built-in milestone tracking, file sharing, and communication tools to keep your project on track.
Start Your Data & Analytics Project Today
Describe your data challenge, get an AI-generated project brief, and get matched with a verified data professional — all with escrow-protected delivery.