Junior Data Analyst at Shop Mercantil focused on performance analysis of e - commerce products. Responsibilities include structuring dashboards and generating strategic insights from data analysis.
About the role
- Senior Business Analytics Analyst creating complex analytics solutions for data-driven decision making at Logix Federal Credit Union. Working closely with stakeholders to advise on data utilization for business objectives.
Responsibilities
- Creates compelling visualizations and stories with data using Tableau, PowerBI, and other data visualization tools to pull present and analyze data from disparate sources.
- Uses user-centered design principles when creating dashboards and BI tools, working closely with end-users throughout the development process to ensure high-quality user experience.
- Drives efforts to develop self-service tools to allow users throughout the organization to quickly pull and analyze data from the central data repository and data marts.
- Possesses strong mathematical and logic skills to derive insights from large data sets, using various techniques such as statistical analysis and data mining.
- Provides leadership throughout the iterative data development process to ensure final data models contain accurate and appropriate data for analysis.
- Manages and maintains BI tools, such as Tableau, including monitoring performance, coordinating necessary upgrades, and staying abreast of new features and functions.
- Assists with establishing best data visualization best practices and standards, ensuring all production dashboards and visuals adhere to specified standards.
- Creates monthly and quarterly financial reporting for various departments, the Board, and NCUA.
- Has extensive knowledge and expertise with Accounting, Finance, and Lending, utilizing domain expertise to build effective analytics tools and reporting.
Requirements
- BA/BS degree in Math & Statistics, Information Systems, Computer Science, Data Analytics, Engineering, or Data Science
- Master’s degree preferred.
- Minimum of 5 years in data analysis, profiling, data manipulation, data mining, data extraction, data enrichment.
- Professional experience with visualization tools and report development, dashboard creation, pivot tables, and data analytics.
- Proficient with Tableau, PowerBI, MicroStrategy or similar tools.
- Experience with statistical modelling and understanding of Machine Learning.
- Excellent understanding of analytical methods and regression models, and advanced analytics software (SAS, R, Python, Data Robot and others).
- Experience working with stakeholders in gathering requirements and writing technical specifications.
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