A data analytics company in Wisconsin seeks a skilled data analyst to collect and analyze large datasets. The role involves developing dashboards using Power BI or Tableau, ensuring data accuracy, and providing actionable insights to support business decisions. Proficiency in SQL and experience with data visualization tools are essential for success in this role. The successful candidate will collaborate with cross-functional teams and contribute to strategic planning efforts.
Qualifications
Experience in collecting, processing, and analyzing large datasets.
Proficient in SQL and familiar with data extraction tools.
Strong ability to develop dashboards and effective data visualizations.
Responsibilities
Collect and analyze data from multiple sources to generate insights.
Develop dashboards and BI reports using Power BI or Tableau.
Support strategic planning through data trend analysis.
Skills
Data Analysis
SQL
BI Tools (Power BI/Tableau)
Data Visualization
Statistical Analysis
Tools
Power BI
Tableau
Data Extraction Tools
Job description
✔️ Collect, process, and analyze large datasets from various sources. Generate meaningful insights to support business decisions.
✔️ Develop dashboards and data visualization reports. Present insights clearly using BI tools and charts.
✔️ Clean and preprocess raw data for analysis. Ensure data accuracy, consistency, and reliability.
✔️ Identify trends, patterns, and correlations in data. Support strategic planning and forecasting.
✔️ Work with SQL and data extraction tools. Retrieve and manipulate data efficiently.
✔️ Collaborate with cross‑functional teams. Understand business requirements and deliver insights.
✔️ Automate data reporting processes. Improve efficiency and reduce manual effort.
✔️ Validate and audit data for quality assurance. Ensure accurate and consistent outputs.
✔️ Develop KPIs and performance metrics. Track and measure business success.
✔️ Use BI tools like Power BI or Tableau. Create interactive and user-friendly dashboards.
✔️ Perform statistical and trend analysis. Support predictive and analytical modeling.
✔️ Maintain data documentation and workflows. Ensure clarity and consistency in processes.
✔️ Troubleshoot data discrepancies and errors. Resolve issues promptly and effectively.
✔️ Provide actionable insights to stakeholders. Support data‑driven decision‑making.
✔️ Optimize queries and data retrieval processes. Improve performance and efficiency.
✔️ Conduct periodic data audits and reviews. Ensure compliance and accuracy.
✔️ Maintain and manage datasets and databases. Ensure secure and structured storage.
✔️ Stay updated with data analytics tools. Adopt modern data analysis techniques.
✔️ Support business intelligence initiatives. Deliver valuable analytical solutions.
✔️ Ensure timely delivery of reports and insights. Meet deadlines and business requirements.