Quinton McMillen career

About Me

Detail-oriented data analyst with a passion for understanding the 'why' behind data trends. My analytical mindset, coupled with exceptional pattern recognition skills, enables me to craft solutions to complex problems by harnessing the power of data. I excel in extracting actionable insights from campaign data, identifying relevant trends, and developing proactive recommendations.


As a team leader and collaborator, I adapt to meet project needs and maintain a positive attitude towards clients and colleagues, always aligned with business objectives.

Skills

  • Data Analysis
  • Problem-Solving
  • Research Methodology
  • Database Management
  • Data Science
  • System Integration
  • Infomatica P360, Acumatica, ERP, CRM integration
  • SQL - Oracle, PIM, Salesforce
  • Microsoft Office - Excel, Word, PowerPoint, Access
  • Market Analysis, DEO & SEO, Campaign Management
  • Tableau, Microsoft BI, Slack, Google Analytics

Quinton McMillen

Quinton McMillen background history

Data Analyst

qmcmillen@gmail.com

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Experience

CLAY Therapeutic Services

System Administrator

Nov 2022 - Present

• Manage marketing campaigns to increase workshop sign-ups, leveraging data analysis and insights.

• Provided administrative support and played a key role in managing the company website and database efficiency ​optimization.

• Consult with the owner on CRM upgrades, power center grid processing, and multiple system integrations.

Reflector Lab

Data Analyst/Research Assistant (Freelance)

Chicago, IL (2022 - present)

Analyzed market data to identify business opportunities, as well as enabling customer transaction initiatives.

• Facilitated efficient decision-making processes by managing numerous workstreams, databases, and maintenance to ​ensure effective business processes.

• Oversaw data orders, ensured data integrity, and supported data accessibility for managers.

• Collaborated with internal stakeholders and customers to optimize database efficiency.

STTT, LLC.

Owner

Chicago, IL (2020 - 2021)

• Designed and launched the company website, facilitating data migration and integration tasks.

• Successfully implemented Informatica P360, acquiring expertise in configuration, IDQ development, and ActiveVos ​workflows.

• Utilized query skills to extract and utilize data from P360 for audits and analytics reporting.

• Managed data imports/exports to and from P360.

Global Capacity

Data Analyst/Order Coordinator

Chicago, IL (2016 - 2020)

• Ensured accurate order creation and configuration while handling daily order entries into multiple systems.

• Compiled, organized, and presented data from BI and other sources, offering Tableau visual insights and recommendations

in areas like data analytics, customer insights, and competitive research.

• Maintained databases, resolved issues hindering progress, and managed live service requests for ERP dashboards.

• Facilitated data access for departmental managers and mapped data into relevant systems.

• Enhanced efficiency by creating error detection templates, running macros, and employing advanced logic in Excel.

Insight Global

Data Analyst

Chicago, IL (2015 - 2016)

Supported a wide range of research, benchmarking, and survey projects using advanced quantitative and qualitative survey ​data analysis.

• Manipulated and interpreted data, monitored survey instruments, and contributed to project design.

• Aligned systems with overall business strategies and analyzed industry and third-party data.

FTI Consulting

Administrative Assistant/ Analyst (Contract)

Chicago, IL (2016 - 2016)

Maintained calendars, contact lists, and coordinated meetings, logistics, and travel arrangements.

• Managed paper and electronic files and assisted in developing PowerPoint presentations.

Avatar Solutions

Data Analyst (Contract)

Chicago, IL (2015 - 2016)

• Developed and presented PowerPoint reports summarizing key employee engagement trends and benchmark comparisons.

• Assisted in creating a Microsoft Access database for managing security data related to employee engagement practices.

• Utilized Excel to build a linear regression model predicting the effects of manager engagement on employee engagement.

• Investigated relationships between employee engagement and customer satisfaction data.

Transportation One LLC

Carrier Sales Representative

Chicago, IL (2014 - 2015)

• Sourced carriers, negotiated rates, scheduled freight, and resolved logistical issues.

• Maintained load tracking and achieved daily booking targets with favorable margins.

NCSA Recruiting

Scout Coordinator

Chicago, IL (2012 - 2013)

• Executed assessments with prospects to uncover goals and relayed details to internal teams.

• Established trusted relationships with clients and generated continued business.

Lyles Funeral Home

Funeral Director

Texarcana, TX (2006 - 2012)

Directed funeral and memorial services, ensuring a meaningful and respectful experience.


Education

Texas Tech University

Bachelor of Arts & Sciences, 2005


University Of Arkansas

Funeral Service and Mortuary Science, 2011


Oakton Community College

Public Health Contact Tracing, 2021

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Data Blog

7 Mistakes to Avoid With Data Visualizations

By Quinton McMillen

Quinton McMillen data
Quinton McMillen data visualization

Ever stare at a chart, feeling like you're deciphering ancient runes? Turns out, even the best data visualizations can go awry, leading to head-scratching and wrong conclusions.


Let’s tackling eight common pitfalls that trip up even seasoned chart-makers. By dodging these traps, you'll transform your data into clear, impactful stories that resonate with your audience.


Some common mistakes to avoid when creating data visualizations include:


  1. Misleading Charts: Using charts that don't accurately represent the data, such as a pie chart where the slices don't add up to 100%
  2. Not Defining the Purpose: Failing to clearly define the purpose of the visualization, which can lead to confusion and misinterpretation
  3. Poor Color Choices: Selecting colors that affect the readability and comprehension of a visualization. Poor color choices can make it difficult to distinguish between data points or to read text labels
  4. Using the Wrong Type of Chart: Selecting an inappropriate chart type for the data being presented, which can lead to misinterpretation and confusion
  5. Overloading Information: Including too much data in a visualization, which can make it difficult for the audience to extract meaningful insights
  6. Ignoring the Audience's Perspective: Failing to consider the perspective of the specific audience for whom the visualization is intended, which can result in a mismatch between the visualization and the audience's needs and understanding
  7. Misrepresenting the Data: Presenting data in a way that misrepresents the true insights, which can lead to inaccurate conclusions and misinformed decisions


By being mindful of these common mistakes, you can create more effective and accurate data visualizations that truly communicate the intended insights.


Data Blog

Taming the Data Beast: Efficiency vs. Chaos

By Quinton McMillen

Magnifying Glass on Charts Graphs Paper. Financial Development,

In today's data-driven world, organizations often struggle with disparate, unorganized, and inefficient data, leading to frustratingly slow loading times, inaccurate insights, and missed opportunities. This chaotic environment, akin to a "data beast," can hinder operational efficiency, compromise security, and ultimately limit an organization's potential.


However, it is crucial to remember that data need not be your antagonist; it can be your loyal ally, readily revealing valuable insights and driving informed decision-making.


The Impact of a Untamed Data Beast

The consequences of a poorly managed data landscape are substantial. This can lead to:

  • Operational Inefficiency: Duplicate entries, outdated information, and clunky interfaces slow down processes, increasing costs and user frustration.
  • Compromised Security: Vulnerabilities in disorganized data pose significant threats to sensitive information.
  • Missed Opportunities: Delayed insights and inaccessible data lead to missed opportunities and lost revenue.


Embrace the Data Champion

The solution lies in embracing data optimization, transforming the data beast into a valuable asset. This journey calls for a warrior mentality, one that combines strategic planning, meticulous execution, and a commitment to security. Here's your battle plan:

  • Data Deduplication:
    • Attack duplicate data with targeted merge scripts and automated data cleansing tools.
    • Streamline storage and improve search functions with a consolidated data landscape.
  • Automation Enchantments:
    • Unchain the power of automation to conquer repetitive tasks.
    • Schedule regular data imports, exports, and cleaning rituals with automated workflows.
    • Free up your team's focus for strategic data analysis and insights generation.
  • Security Shields:
    • Erect robust access controls and user permissions to safeguard sensitive data.
    • Encrypt your data fortress with impenetrable walls and leverage advanced firewalls.
    • Stand vigilant against cyber threats and maintain data integrity with continuous monitoring.


Conclusion

By implementing these strategies and adopting a data-centric mindset, you can tame the data beast and unlock its true potential. Remember, well-organized, secure, and accessible data is not a dream; it's the foundation for informed decision-making, operational efficiency, and ultimately, organizational success. Embrace the data warrior within, and embark on your journey to data mastery!


Data Blog

Integrating Systems: Streamline Your Workflow, Slay the Silos

By Quinton McMillen

Data scattered across multiple systems, siloed like feuding kingdoms? Information flowing like molasses in January? Feeling the pain of manual data entry and disconnected processes?


Imagine a world where your data sings in harmony, seamlessly flowing between systems. Imagine automation bridges connecting islands of information, creating a unified landscape. Sounds like a data utopia, right?


Data silos breed inefficiency, errors, and missed opportunities. Duplication runs rampant, workflows stutter, and valuable insights get lost in translation.


Picture the frustration of searching for data in multiple places, the wasted time reconciling discrepancies, the missed deadlines due to information gaps. Feeling the inefficiency drag yet?


Dismantle the silos and build data harmony! Here's your integration toolbox:

  • API Potions: Mix the "Data Exchange Elixir" to connect systems using Application Programming Interfaces (APIs). Allow them to share information seamlessly.
  • ETL Enchantments: Brew the "Extract, Transform, Load" potion to move data between systems efficiently. Use Extract, Transform, Load (ETL) tools for automated data flow.
  • Data Lake Wonders: Summon the "Unified Data Oasis" – a data lake that stores all your information in one central location. Break down barriers and let data flow freely.


Data Blog

From Raw Data to Insights: The Secret Sauce of Effective Decision-Making

By Quinton McMillen

Feeling overwhelmed by mountains of raw data? Struggling to extract meaningful insights? Lost in a sea of numbers with no clear direction? You're not alone, data explorer.


But what if this raw data held the key to unlocking informed decisions, strategic growth, and a competitive edge? Imagine transforming it into a crystal ball, revealing the future of your business. Sounds powerful, right?


Ignoring data-driven insights is like driving blindfolded. You might stumble upon success, but the risk of disaster is high. Inaccurate interpretations lead to bad decisions, missed opportunities, and wasted resources.


Imagine the consequences of acting on faulty data: launching a doomed product, alienating customers, falling behind competitors. Feeling the pressure to make smart choices yet?


Master data analysis and unlock hidden wisdom! Here's your insight toolkit:

  • Statists: Learn the data interpretation to understand basic statistics like mean, median, and standard deviation. Identify trends and patterns within your data.
  • Visualizations: Use charts & graphs to transform data into compelling visuals. Use tools like bar charts, pie charts, and line graphs to tell stories with data.
  • Hidden Pattern-Finding: Perform the correlation analysis to uncover relationships between variables. Utilize data mining techniques to discover hidden patterns and connections.