Summary
Worked across Fintech and healthcare industries for 7 years in the field of analysis. As a Business analyst, I use data to make strategic business decisions. As a Data analyst, I gather data, manipulate it, identify useful information from it, and transform their findings into digestible insights. As a prospective business data analyst, I am looking to bring in my expertise that aims in identifying opportunities to grow, optimization, and improving an organization's business processes. I have knowledge of ETL tools like SQL & Python for data wrangling, data manipulation, data visualization, and analytics. Additionally, I possess a sound understanding of statistical software like SAS and SPSS. I am proficient using proficient using various business intelligence tools like Tableau, Alteryx, and Power BI, for creating reports and dashboards.
Experience
Data Analyst
Icon Services. Inc.
Jan 2020 - Present (4 years 3 months +)
Responsible for defining business needs and opportunities to drive timely delivery of solutions that achieve intended business objectives.
Input data, analyze business information and data with strong attention to detail and accuracy. Tracks various metrics, timelines, and deliverables to ensure compliance with customer service level agreements.
Interpret data, analyze results, and provide insights to determine operational impact.
Identify and execute process improvements to increase operational and reporting efficiency.
Keep, manage and track all relevant communications and data within Salesforce.
Conduct design and test reviews with the project teams to ensure systems design, development, and testing are aligned to support the intended objectives.
Used Python to create and manage data structures quickly.
Used Pandas to manipulate, analyze, and represent data structures and complex datasets, such as merging, pivoting, and slicing tables to create new views and perspectives on existing sets. Wrote my own data analysis algorithms that can be directly integrated into the business intelligence tools via API using python.
Facilitated the retrieval of specific information through simple queries from a database using SQL. Retrieved big data from multiple databases efficiently using SQL as well as running fast query processing.
Used Excel for data visualization, data forecasting, inventory tracking, calculating, organizing, and evaluating quantitative data.
Used tableau to visualize data via time series, bar charts, scatter plots or in maps highlights errors and outliers and to connect to local or remote data.