Freelance Data Analysts in Scottsdale
Freelance Data Analysts in Scottsdale
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Amy Frank
Phoenix, USA
Business systems & internal tools | Salesforce Certified
28
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Business systems & internal tools | Salesforce Certified
0
Salesforce Sales Cloud Setup (Pipeline & Reporting)
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9
0
Sales & Profit Dashboard in Tableau
0
2
0
KPI Scope Builder β Decision-First KPI Planning
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2
0
Operations Clarity Check | Business Operations Diagnostic Tool
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9
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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6
0
Cyclistic: Turning Casual Rides into Loyal Memberships
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3
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Uncovering Top Trends and Customer Secrets from Q1 2019
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6
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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
10
1
Customer Churn Prediction with Boosting Algorithms
1
17
1
Song Genre Classification with Spotify API
1
9
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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
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GitHub - NixOSDude/hazynet_scala_spark: Spark development with β¦
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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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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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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.
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42
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
45
0
HR Management Dashboard
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13
0
Healthcare Dashboard
0
12
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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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29
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Designing a Database For a Major Footwear Manufacturer
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54
0
Descriptive & Prescriptive Analytics on Logistics Performance
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81
0
NestlΓ©: an In-Depth Marketing Analysis
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119
Data Analyst
(3)
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Heather Morse
Phoenix, USA
Trend Forecaster & Copywriter
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Trend Forecaster & Copywriter
0
SS 23 Womenswear Trends
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1
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MACRO TRENDS 2023
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0
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Trend Newsletter 2
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2
0
Trend Newsletter 1
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0
Data Analyst
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Nicholas Jones
Peoria, USA
Unlock The Trend!
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Unlock The Trend!
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GitHub - Ghubby30/MultipleRegressionModel_Opossum: This is a muβ¦
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4
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GitHub - Ghubby30/MasterSchool_ABTest: This is an A/B test for β¦
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10
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Ghubby30/BMI
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5
0
Ghubby30/WordPyramid
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7
Data Analyst
(3)
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