- Analyze historical time series data to identify patterns, trends, and seasonality using statistical methods.
- Apply various time series techniques, such as moving averages, exponential smoothing, and decomposition, to forecast future performance metrics.
- Determine appropriate model selection and parameter tuning based on data characteristics and forecast requirements.
- Utilize predictive modeling techniques to build and evaluate models that forecast future outcomes and performance.
- Apply machine learning algorithms, such as regression, decision trees, and ensemble methods, to develop predictive models.
- Assess model accuracy and performance through cross-validation and other evaluation metrics.
- Develop visually compelling and interactive dashboards and reports to present key insights and forecasts to stakeholders.
- Use data visualization platforms such as Tableau and Looker to create intuitive charts, graphs, and visualizations for data storytelling.
- Collaborate with cross-functional teams to understand their data visualization needs and deliver actionable insights through compelling visualizations.
- Analyze large datasets to identify trends, anomalies, and opportunities for business improvement.
- Interpret and communicate findings to stakeholders in a clear and concise manner, highlighting relevant implications for the organization.
- Provide data-driven recommendations and actionable insights to support strategic planning and operational decision-making.
- Ensure data accuracy, integrity, and consistency across various data sources used for time series analysis and predictive modeling.
- Identify and rectify data quality issues, working closely with data engineering teams when necessary.
- Stay updated with the latest advancements in time series analysis and predictive analytics techniques, as well as industry best practices.
- Propose and implement innovative solutions to enhance data analysis and predictive modeling processes.
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Data Analyst - New York, United States - Diverse Lynx
Description
Job Title Data Analyst Specialist (on-site in New York)Technical/Functional Skills -MUST HAVE SKILLS Time series forecasting & predictive analytics techniques.
Strong proficiency in data visualization platforms such as Tableau ,Qlikview and Looker.
Experience in the Media, Adtech, or Entertainment industry domains is highly desirable
Strong programming skills in Python or R for data analysis and model implementation.
Proficiency in SQL for data extraction and manipulation.
Roles & Responsibilities 1.
Time Series Analysis:
Predictive Analytics:
Data Visualization:
Data Analysis and Interpretation:
Data Quality Assurance:
Continuous Learning and Innovation:
All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.
We promote and support a diverse workforce across all levels in the company.