Technologist  ·  Developer  ·  Analyst

Business and Data Analytics

I began my career as a Front-End Web Developer, building responsive websites and web applications for small businesses, nonprofits, and government agencies. I code and build websites using HTML, CSS, JavaScript, PHP, and MySQL integrated with open source content management systems, WordPress and Drupal.

As a senior web developer, I was responsible for wire-framing, development, information architecture, content, and testing and debugging. I developed structured timelines, SEO optimization, and analyzed web traffic and conversion rates using integrated analytics tools like Google Analytics and heat mapping technology CrazyEgg.

Over time, I discovered that my strongest impact came not only from building websites but from analyzing performance data and identifying opportunities for strategic improvement.

As a small business owner and consultant, I often wore multiple hats and took on tasks that exceeded the role of a traditional web developer. I evaluated target markets, assessed profit margins, refined service offerings, and translated business objectives into scalable technical solutions from content to custom application development. I regularly gathered requirements, aligned stakeholders, and converted high-level goals into measurable Key performance indicators (KPIs).

While I performed these tasks and grew my experience, I didn’t have a formal name for tasks performed beyond web development. I researched and learned that I was taking on the role of a digital strategist. My work experience and skills in data-driven decision-making, strategic thinking, and technical proficiency overlapped with business analytics. My experience analyzing market trends/data, mapping digital solutions to business goals, stakeholder communication, and project management formed the foundation for my transition into a Business Analyst.

As an Analyst, I currently focus on real estate development where I evaluate investment opportunities using market research, financial modeling, and property performance metrics. I analyzed neighborhood trends, rental demand, pricing patterns, and comparable properties to identify high-potential acquisitions.

I develop financial models to project ROI, cash flow, and long-term appreciation, and create dashboards to monitor occupancy rates, rental income, operating expenses, and overall portfolio performance. These reporting tools enabled investors to make data-driven adjustments and optimize asset performance.

I enjoy working with technology, data, and business strategy and intelligence. My skills set expanded to technical tools to include SQL, Excel, Power BI, Tableau, and Python.

Web Developer to Business Analyst Skills Transition

Financial Analysis & Revenue Modeling

Web Developer Experience:

  • Set pricing for projects and retainers
  • Forecast revenue and manage cash flow
  • Tracked expenses, profit margins, and overhead
  • Evaluated ROI on marketing and software tools

Business Analytics Expertise:

  • Budget forecasting
  • Margin analysis
  • Break-even analysis
  • Financial KPI tracking
  • Cost-benefit analysis

KPI Development & Performance Measurement

Web Developer Experience:

  • Tracked website traffic, conversions, and campaign results
  • Measured project timelines and delivery performance
  • Monitored client acquisition cost
  • Evaluated team productivity

Business Analytics Expertise:

  • KPI dashboard creation
  • Conversion rate optimization (CRO)
  • Funnel analysis
  • Operational performance metrics

Client & Market Analysis

Web Developer Experience:

  • Identified target markets and niche industries
  • Analyzed competitor pricing and service offerings
  • Assessed client needs and buying behavior

Business Analytics Expertise:

  • Market segmentation
  • SWOT analysis
  • Competitive analysis
  • Customer lifetime value (CLV) analysis
  • Business requirements gathering

Data Analytics Experience

  • Defined data requirements for dashboards
  • Cleaned and validated datasets
  • Ensured reporting accuracy and automation
  • Created shared dashboards for leadership
  • Facilitated data-driven decision meetings
  • Presented insights influencing growth strategy

Business Analytics Technical Skills

  • SQL (data extraction & transformation)
  • Excel (advanced formulas, Power Query, financial modeling)
  • Power BI / Tableau
  • Python (Pandas, NumPy for data analysis)
  • Real Estate Financial Modeling
  • Market & Demographic Analysis
  • Forecasting & Scenario Analysis
  • Data Visualization & Executive Reporting