Data Analyst with experience in business intelligence, data analysis, reporting automation and ERP-based analytics. Skilled in SQL, Python, Power BI, Excel and data visualization, with a focus on transforming complex bus…
Data Analyst with experience in business intelligence, data analysis, reporting automation and ERP-based analytics. Skilled in SQL, Python, Power BI, Excel and data visualization, with a focus on transforming complex business data into actionable insights. Experienced in developing dashboards, automated reports and web-based analytical solutions to improve reporting efficiency and support data-driven decision-making. Strong understanding of data cleaning, data modeling, KPI development and business reporting. Also experienced in lead generation and analytical support, with a focus on process improvement and business growth.
<p>Develop Python-based web scraping workflows to collect property data from multiple sources, perform data cleaning, transformation and validation, and integrate the processed data into ERP systems, enabling the Acquisition Team to efficiently assess property suitability and prioritize high-value opportunities.<br>
Analyze business and operational data to identify trends, patterns and opportunities for process improvement.<br>
Develop interactive Power BI dashboards and reports to monitor key business performance indicators and KPIs.<br>
Extract, clean, transform and validate data from ERP systems for analytical and reporting purposes.<br>
Create web-based reports using ERP data to provide stakeholders with centralized access to business insights.<br>
Develop automated reporting workflows using SQL, Python, Power Query and Power BI to improve reporting efficiency.<br>
Perform data validation, reconciliation and quality checks to ensure accuracy and consistency across reports.<br>
Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.<br>
Conduct ad-hoc analysis to support management decision-making and operational planning.<br>
Identify manual reporting processes and implement automation solutions to reduce repetitive work.<br>
Support the development of centralized dashboards and web-based reporting solutions for improved data accessibility.</p>
<p>Conducted lead generation activities to identify and develop potential business prospects.<br>
Researched target companies, industries and decision-makers to build relevant prospect databases.<br>
Generated and qualified leads based on business requirements and target customer profiles.<br>
Maintained and updated lead records to support accurate tracking and follow-up activities.<br>
Collaborated with sales and business development teams to support lead conversion and pipeline growth.<br>
Monitored lead generation activities and prepared reports to track performance and productivity.<br>
Used structured data and reporting methods to organize prospect information and improve lead management workflows.</p>
<p>Managed lead generation activities to identify potential clients and business opportunities.<br>
Performed prospect research, data collection and lead qualification according to campaign requirements.<br>
Maintained accurate lead databases and organized prospect information for business development teams.<br>
Supported outbound campaigns, client outreach and follow-up activities to improve lead engagement.<br>
Prepared lead generation reports and tracked key performance indicators.<br>
Coordinated with internal teams to ensure timely handover of qualified leads.<br>
Identified opportunities to improve lead tracking, data accuracy and campaign reporting processes.</p>
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