- Data Collection: Gather data from various sources, including databases, spreadsheets, and external data providers.
- Data Cleaning and Preparation: Clean, transform, and preprocess data to ensure accuracy and consistency.
- Data Modeling: Develop data models, visualizations, and dashboards to present complex data in a user-friendly format.
- Data Interpretation: Analyze data to identify trends, patterns, and correlations that provide valuable insights.
- Requirements Gathering: Collaborate with stakeholders to gather and document business requirements for data analysis and reporting.
- Process Improvement: Identify opportunities for process optimization, efficiency, and automation through data analysis.
- Performance Metrics: Define and monitor key performance indicators (KPIs) to track business performance and outcomes.
- Data Reporting: Prepare and deliver reports, presentations, and visualizations to convey data-driven insights to stakeholders.
- Data Documentation: Maintain documentation of data sources, methodologies, and analysis results for transparency and reproducibility.
- Stakeholder Collaboration: Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
- Data Quality Assurance: Ensure data integrity and accuracy by implementing data quality checks and validation processes.
- Data Governance: Implement and adhere to data governance policies, standards, and best practices.
- Analytics Tools: Utilize data analytics tools and software, such as SQL, Excel, Python, R, or business intelligence platforms.
- Database Management: Manage and query databases to extract and manipulate data as needed.
- Data Security: Ensure data privacy and compliance with relevant regulations (e.g., GDPR, HIPAA) in data handling and reporting.
- Bachelor's degree in Business, Data Science, Statistics, Computer Science, or a related field; a Master's degree is a plus.
- Proven experience in data analysis, business analysis, or a related role, typically ranging from 7 to 10 years.
- Proficiency in data analysis tools and software (e.g., SQL, Excel, Python, R).
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and presentation skills for effectively conveying complex data insights to non-technical stakeholders.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and business intelligence concepts.
- Knowledge of statistical analysis and data mining techniques.
- Ability to work independently and collaboratively in a team environment.
- Business acumen and the ability to connect data analysis to business strategy and objectives.
- Understanding of data governance, data quality, and compliance practices.
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Senior Business and Data Analyst - McKinney, United States - Herbal Goodness
Description
Herbal Goodness is a manufacturer of premium quality, unique, organic, non-GMO superfoods, and herbal products to support healthy living and impact lives. Founded in 2013, the company excels in the botanical and natural supplements industry and manufactures product lines such as Herbal Teas, Supplements, Extracts, Essential Oils, Smoothies, and Juices. The company is unique in its values of Quality, Sustainability, and Impact.
100% women and minority-owned, Herbal Goodness believes in Business for social good. We donate 10% of our profits to promote the education of girls.
Job Title: Business / Data Analyst
Job Location: Remote
Work Hours: Mon - Fri 9 am - 5 pm CST
Department: Sales and Business Development
Reports to: Sales And Business Development Manager
SUMMARY AND OBJECTIVE
As a Business/Data Analyst, you will be a key player in our data-driven decision-making process, helping to uncover valuable insights and drive improvements across our organization. Your work will have a significant impact on our business processes, strategy development, and overall success. If you are a dedicated and analytical professional with a passion for data analysis and business improvement, we encourage you to apply and join our team.
RESPONSIBILITIES
Have any questions? Send an email to (QUESTIONS ONLY)