CoreLogic · 5 hours ago

Business Analysis, Reporting and Forecasting

United States

Full-time

Remote

Mid Level

$64K/yr - $70K/yr

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Responsibilities

Strong knowledge of R or Python for building, implementing, and maintaining forecasting models. (e.g., forecast, prophet, statsmodels, scikit-learn).

Familiarity with a variety of modeling techniques, including ARIMA, exponential smoothing, machine learning, or advanced algorithms.

Advanced understanding of statistical methods, including regression analysis, time series analysis, and hypothesis testing.

Ability to use statistical tools to evaluate model performance, identify trends, and assess accuracy

Create and optimize complex SQL queries and Python scripts to extract, transform, clean, and aggregate data for reporting and analytics purposes.

Collaborate with cross-functional teams to understand data requirements, important covariates, and implement automated data pipelines.

Ensure data quality and accuracy by implementing validation checks and error handling mechanisms.

Automate and orchestrate ETL processes using PowerShell, scripts, and other technologies.

Ability to communicate results to stakeholders through interactive dashboards, reports, and collaborative meetings

Prioritize project tasks and handle scope changes while ensuring projects meet deadlines and business objectives.

Collaborate closely with stakeholders, including data analysts, business leaders, and IT teams, to align project goals with business needs.

Lead project teams, allocate resources, and track project progress using project management tools and methodologies.

Maintain clear documentation of project plans, milestones, and outcomes to ensure effective communication and reporting.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

RPythonSQLETL processesMachine learningStatistical analysisData governancePowerShellGoogle BigQueryTableauPowerBILookerAgile methodologiesScrumWaterfallProject managementCollaboration skills

Required

Bachelor's degree in Statistics, Math, Data Science, or related field.

Previous implementation of forecasting models (e.g. ARIMA, boosted tree models, Prophet, machine learning models or other customized modeling) and statistical analysis.

Proven expertise in SQL, with the ability to write complex queries.

Proficiency in Python and R for data manipulation, forecast model building, and statistical analysis.

Experience with ETL processes and automation.

Proficiency in scripting languages (Python, PowerShell) for automation.

Strong understanding of data governance and compliance standards.

Excellent communication and collaboration skills to work with cross-functional teams.

Strong project management skills, including project planning, execution, and monitoring.