IT ANALYST

Job Title: IT Analyst

Job Type: (Remote)

The IT Analyst Data Analytics & Data Science is responsible for analyzing complex business and technology data to provide actionable insights support data-driven decision-making and improve IT and business performance. This position works with business stakeholders data scientists data engineers IT teams and management to collect prepare analyze visualize and interpret data.

The role supports data analytics predictive analysis reporting data quality and technology initiatives while helping the organization identify trends improve processes manage risks and make informed business decisions.

• Collect integrate clean and analyze data from multiple business and IT systems.

• Perform exploratory data analysis to identify trends patterns relationships and anomalies.

• Develop reports dashboards and data visualizations using tools such as Power BI Tableau or similar platforms.

• Write SQL queries to extract transform validate and analyze data from relational databases.

• Support data science and advanced analytics initiatives through data preparation and analysis.

• Develop statistical analyses forecasts and predictive models under established methodologies.

• Assist data scientists with data preparation feature engineering model testing and model evaluation.

• Analyze IT performance application usage system availability incidents service requests and operational metrics.

• Develop and monitor key performance indicators (KPIs) for IT and business operations.

• Identify trends and patterns that may indicate system performance issues operational risks or opportunities for improvement.

• Conduct root-cause analysis using quantitative and qualitative data.

• Validate data accuracy completeness consistency and reliability.

• Investigate data quality issues and work with IT and business teams to resolve discrepancies.

• Develop automated reporting and analytical processes to improve efficiency and reduce manual work.

• Support data integration data migration and data transformation activities.

• Collaborate with data engineers to improve data pipelines datasets and data availability.

• Document data sources business rules calculations analytical methodologies and reporting processes.

• Translate business and IT questions into analytical requirements and measurable outcomes.

• Present analytical findings and recommendations to technical and non-technical stakeholders.

• Support data-driven technology decisions and IT improvement initiatives.

• Assist with experimentation A/B testing statistical analysis and scenario analysis when applicable.

• Monitor analytical models and reports to ensure continued accuracy and reliability.

• Support data governance privacy security and data management practices.

• Stay current with data analytics artificial intelligence machine learning and emerging technology trends.

• Bachelors degree in Data Science Data Analytics Computer Science Information Technology Statistics Mathematics Business Analytics or a related field.

• 25 years of experience in data analytics IT analysis business intelligence or a related field.

• Strong SQL skills and experience working with relational databases.

• Proficiency in Excel and experience with data analysis and visualization.

• Experience with Power BI Tableau or another business intelligence platform.

• Working knowledge of Python or R for data analysis.

• Strong understanding of data analysis statistics and data visualization principles.

• Experience with data cleaning transformation validation and quality analysis.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills.

• Ability to communicate technical data findings to non-technical stakeholders.

• Masters degree in Data Science Statistics Computer Science Analytics or a related field.

• Experience with machine learning and predictive analytics.

• Knowledge of statistical methods such as regression classification clustering and time-series analysis.

• Experience with cloud data platforms such as AWS Microsoft Azure or Google Cloud.

• Experience with data warehouses data lakes and ETL/ELT processes.

• Familiarity with Databricks Snowflake BigQuery or similar data platforms.

• Experience with machine learning libraries such as scikit-learn TensorFlow or PyTorch.

• Knowledge of APIs and data integration technologies.

• Experience with IT service management data and tools such as ServiceNow.

• Knowledge of data governance data security and privacy practices.

• Data Analytics

• Data Science

• SQL

• Python / R

• Statistical Analysis

• Predictive Analytics

• Machine Learning

• Data Visualization

• Power BI / Tableau

• Data Cleaning & Transformation

• Data Quality & Validation

• Exploratory Data Analysis

• Forecasting

• KPI Development

• Root-Cause Analysis

• Data Modeling

• ETL / ELT

• Data Integration

• Business Intelligence

• IT Performance Analytics

• Data Analysis: Ability to transform raw data into meaningful insights and actionable recommendations.

• Technical Expertise: Ability to work with databases analytical tools programming languages and data platforms.

• Statistical Thinking: Ability to apply appropriate statistical methods to analyze trends relationships and business problems.

• Problem Solving: Ability to investigate complex data and IT problems and identify practical solutions.

• Data Quality: Ability to validate data and identify inconsistencies that could affect analytical results.

• Communication: Ability to explain analytical findings and technical concepts clearly to business and IT stakeholders.

• Business Understanding: Ability to connect data insights to business objectives operational performance and IT strategy.

• Collaboration: Ability to work effectively with data scientists engineers IT professionals business analysts and business leaders.