Data analyst
Resume examples

Served as the primary interface between Indeed’s (recruiting firm) data and the business line to ensure that quick and accurate data analysis is delivered to the appropriate stakeholders in the Engineering and Product Management departments to assist with data-driven business decisions.

• Turned ambiguous data-based problems and issues from business partners into clear solutions and recommendations based on analysis.
• Continuously developed and learned new skills while working with cross-functional departments and teams of data analysts and computer scientists.
• Identified strategic business opportunities to improve the company’s products and operations based on data analysis.
• Exercised independent decision-making to define KPIs, protect data integrity, and create dashboards through analysis of data sets.
• Created and implemented specifications for analysis and reports based on the company’s needs and data elements required to operate.

Evaluated technology requirements to accurately and efficiently analyze data, revamped out-of-date systems, and reduced technology costs throughout the company. Developed and supported multiple databases and provided high-level technical support to clients.

• Managed the development team, introduced project management best practices, and established formal project planning and scoping processes
• Improved analytical accuracy from 92% to 97% within 6 months through rigorous development and implementation of new processes and procedures.
• Saved the company $300K by designing and implementing in-house data analytics governance, change management, and training scheduling systems.
• Optimized resources by outsourcing data backup and initiating the company’s first off-site backup for data.
• Co-introduced and championed improved methods for data visualization as a cost-effective solution to present findings to clients.

Directed operations and supported companywide initiatives while leading team of 20 data engineers. Handled all aspects of performance management while championing continuous improvement.

• Delegated process development and database management tasks among engineers.
• Led interviews, onboarding, and training efforts to build and maintain a proficient development team while cultivating a collaborative and efficient work environment.
• Partnered with stakeholders to drive large-scale initiatives including migration to cloud-based integration software.

Discover novel insights using SQL and Python databases. Collaborate with project management and sales to create effective strategies addressing client needs and product development. Prepare and present annual revenue forecasts to C-suite managers and key stakeholders. Conduct financial and market research to produce automated tools and support company initiatives.

• Spearhead data flow improvements through high-performance Pandas queries to organize data from 4.2K customers.
• Incorporate SPSS key performance analyses into existing departmental framework to decrease costs.
• Boosted campaign engagement 29% by providing digital evaluations to marketing departments.
• Raised sales 14% by conducting focus group research for underperforming products.