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- Data Collection and Extraction
- Collecting and extracting data from various sources such as databases, data warehouses, APIs, and spreadsheets
- Ensuring data accuracy, completeness, and reliability through data validation and quality checks
- Collaborating with relevant teams to acquire necessary data and ensure data availability
- Data Analysis and Interpretation
- Analyzing data sets using statistical techniques and data mining methods to identify patterns, trends, and correlations
- Applying data visualization techniques to present complex data in a clear and concise manner
- Interpreting data findings and providing actionable insights to key stakeholders
- Completing data validation requests from other business teams in the organization
- Reporting and Documentation
- Creating reports, dashboards, and visualizations to communicate data insights effectively
- Developing and maintaining data documentation, including data dictionaries, data flow diagrams, and process documentation
- Presenting findings and reports to management and other relevant stakeholders
- Data Modeling and Forecasting
- Building and maintaining data models to support forecasting, trend analysis, and predictive analytics
- Developing and implementing statistical models and algorithms to forecast business metrics and KPIs
- Collaborating with other teams to integrate data models into business applications and systems
- Data Governance and Compliance
- Ensuring compliance with data governance policies, regulations, and industry standards
- Establishing data quality standards and implementing data cleansing and normalization processes
- Collaborating with IT and security teams to ensure data privacy and security
- Continuous Improvement
- Staying up to date with industry trends, best practices, and emerging technologies in data analysis
- Proactively identifying opportunities to enhance data collection, analysis, and reporting processes
- Participating in training programs and professional development activities to improve skills and knowledge
- Bachelor's degree in a relevant field such as Business Analytics, Statistics, Mathematics, or Computer Science
- Proven experience as a Data Analyst or similar role, with a strong understanding of data analysis methodologies and techniques
- Proficiency in data analysis tools such as SQL, Excel, Python, R, or similar tools
- Familiarity with statistical analysis, data modeling, and forecasting techniques
- Strong analytical thinking and problem-solving skills with a keen attention to detail
- Excellent communication skills to effectively convey complex data insights to both technical and non-technical stakeholders
- Ability to work collaboratively in cross-functional teams and manage multiple tasks within deadlines
Business Data Analyst - Springdale, United States - Excell
Description
At eXcell, we set you up for job success right from the start. Our precision recruiting process aligns the right fit for the right people.
Our client has a brand new opportunity for a qualified Business Data Analyst to join their team onsite in Springdale, OH. This analyst will gather, analyze, and interpret data to provide meaningful insights and support strategic decision-making within the organization. Knowledge of data visualization tools such as Spotfire, Tableau, Power BI, or similar platforms is required. This will be a 12 month contract position with the possibility of extension.
Duties and Responsibilities:
We offer a comprehensive benefit package that you can elect into including but not limited to: Health Insurance (Medical, Vision, Dental), 401k, Basic Life/AD&D, Supplemental Insurances Plans, Paid Time Off Plan, Paid Holiday, Paid Sick Leave plan, FSA/HSA Pre-Tax Benefits, Employee Discounts.
W2 only, no Corp to Corp. We are unable to sponsor H1B visas at this time. **eXcellTM Supports Equal Employment Opportunity** eXcellTM, a division of CompuCom Systems, Inc., a global company headquartered in Bellevue, Washington, provides IT staffing services and solutions to Fortune 1000 companies as well as small and medium business. For more information, visit