Freelance Data Analysts in Scottsdale
Freelance Data Analysts in Scottsdale
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Amy Frank
Phoenix, USA
Business systems & internal tools | Salesforce Certified
34
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Business systems & internal tools | Salesforce Certified
0
Salesforce Sales Cloud Setup (Pipeline & Reporting)
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21
0
Sales & Profit Dashboard in Tableau
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12
0
KPI Scope Builder β Decision-First KPI Planning
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10
0
Operations Clarity Check | Business Operations Diagnostic Tool
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20
Data Analyst
(2)
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Viola Aliwarga
Scottsdale, USA
Efficient Data Analysis & Entry Specialist π
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Efficient Data Analysis & Entry Specialist π
0
Sales Patterns and Customer Behavior of an Online Store
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10
0
Cyclistic: Turning Casual Rides into Loyal Memberships
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5
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Uncovering Top Trends and Customer Secrets from Q1 2019
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10
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Data Analyst
(3)
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Isaiah Montoya
Mesa, USA
Enterprise Data Pro: Analysis & Visualization Expert
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Enterprise Data Pro: Analysis & Visualization Expert
1
Global Video Game Sales Analysis (1980 - 2016)
1
16
1
Customer Churn Prediction with Boosting Algorithms
1
20
1
Song Genre Classification with Spotify API
1
14
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Data Analyst
(1)
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Scott Baker
Phoenix, USA
Data Engineer DuckDB SQL
New to Contra
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Data Engineer DuckDB SQL
0
Interactive Streamlit dashboard backed by DuckDB β 167,858,646 NYC Yellow Cab records across 4 years (2022β2025), Β Β 48 Parquet files, queried live on a single workstation. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Features: KPI cards (total trips, fare revenue, YoY change), monthly trip volume line chart by year, payment type Β Β shift analysis 2022β2025, interactive year/month filters. All queries run in DuckDB β no database server, no Β cluster, no Spark. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β This is the same data stack delivered to clients. Raw Parquet files in, live dashboard out β pipeline built once, Β Β runs automatically. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Built with: DuckDB 1.4 Β· Python Β· Streamlit Β· Plotly Β· Pandas Β Β Β
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GitHub - NixOSDude/hazynet_scala_spark: Spark development with β¦
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5
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Β Full client engagement pipeline demonstrated on fictional Series A SaaS data: 90,950 CRM rows, 1,025,447 Stripe Β transactions, 115,500 QuickBooks invoices, 200 enterprise contracts β the exact profile of a typical new Β Β Β Β Β Β Β Β Β Β engagement. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Five stages on one machine. No cluster. No cloud database fees. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Stage 1: Ingest dirty data from CRM, Stripe, and QuickBooks exports. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Stage 2: Audit β quality scores, grime map, null analysis. Β Stage 3: Clean β DuckDB SQL transforms, Parquet out. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Stage 4: Analyse β 5 business queries, anomaly detection. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Stage 5: RAG β embed, index, query across documents. Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Β Every stage runs inside DuckDB on a single workstation. This is the pipeline your data goes through on every Β Β Β Β Β Β engagement. Β Β Β Β Β Β Β
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52
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Migrate off Databricks in 4 stages. 172M rows/sec. 80% lower cost. I replace overpriced Databricks and Snowflake stacks with DuckDB β faster, cheaper, and completely under your control. Audit β Migrate β Automate β Secure. Fixed-fee engagements. Results in days.
0
78
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(2)
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Shaquille Austin
Phoenix, USA
Business systems, tech support & digital solutions.
New to Contra
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Business systems, tech support & digital solutions.
0
Competitor & Market Research Snapshot
0
0
0
Lead Tracking & Follow-Up System
0
0
0
Client Intake & Onboarding Workflow
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0
0
SOP From Loom β Process Documentation
0
0
Data Analyst
(1)
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Anisha Jinna
Phoenix, USA
Data Wizard: Analysis, Visualization, & More
1x
Hired
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Data Wizard: Analysis, Visualization, & More
0
Student Management Dashboard
0
50
0
HR Management Dashboard
0
15
0
Healthcare Dashboard
0
16
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Breanna Bottema
Scottsdale, USA
I build tools for rental hosts, because I've been one.
New to Contra
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I build tools for rental hosts, because I've been one.
0
Sample audit analyzing a 6-property operation across Airbnb, VRBO, and Hipcamp. Identified $18K-26K/year in recoverable revenue through dynamic pricing, listing optimization, and ancillary upsells.
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52
1
I built a Chrome extension that unifies booking data from Airbnb, VRBO, Hipcamp, and FareHarbour into a single dashboard. Shows today's check-ins/outs, currently hosting, upcoming bookings, a calendar view with color-coded platform indicators, and a property overview grid. No API keys or third-party integrations needed. Designed from firsthand experience managing 13+ rental units across 4 platforms.
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66
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Ready-to-deploy operations kit for rental hosts. Guest messaging templates, cleaning checklists with photo verification, emergency protocols, and turnover coordination flows. Built from 2 years as an STR cleaner + managing 13 units across 4 platforms.
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63
1
I built a Chrome extension that strips clutter from any webpage and renders a clean, readable version. Extracts article content using a multi-stage pipeline (DOM cleaning β content extraction β markdown conversion β rendering). Features AI-generated summaries with key takeaways, image gallery, dark mode, read time estimates, and a link back to the original. Includes an automated regression testing pipeline using Playwright for continuous quality validation across hundreds of real-world sites.
1
67
Data Analyst
(1)
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Sherry Chi
Phoenix, USA
Data Analyst experienced in SQL, Python & Tableau
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Data Analyst experienced in SQL, Python & Tableau
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Hotel Bookings Cancellation Prediction
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42
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Designing a Database For a Major Footwear Manufacturer
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70
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Descriptive & Prescriptive Analytics on Logistics Performance
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100
0
NestlΓ©: an In-Depth Marketing Analysis
0
154
Data Analyst
(3)
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