Sr Analyst, Data and Analytics

Key Skills

Java Programming, SAP, Python Programming, SQL, Google BigQuery

Job Description

Data Analytics is responsible for understanding, preparing, processing and analyzing data to make the data valuable and useful for operational and/or decision-making purposes. Data Analytics may need to team with either Business Intelligence, Advanced Analytics and Data Governance positions to create highly useful information.

General Requirement

• Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits.
• Has an understanding of current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits.
• Prepares and analyzes data. This can include: locating, profiling, cleansing, extracting, mapping, importing, transforming, validating or modeling.
• Applies query, data exploration and transformation, basic statistical methods and visualization techniques to create business insights or improve data quality.
• Performs validation and testing to confirm the accuracy of the information created.
• Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives.
• Communicates complex information so that it is easy to understand and influences other to take action based on the useful information provided.
• Implements and maintains decision support or master data management solutions.
• What is expected of you and others at this level
• Determine the correct data sets and variables to meet the needs of the business
• Extract, curate, and interpret data from various sources in a meaningful way
• Analyze data to identify patterns, trends, and results in overall business performance
• Acquire data from primary or secondary data sources
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Analyzing trends that impact
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality

Qualifications

• Bachelor’s degree in related field, or equivalent work experience
• Strong knowledge of data and metadata management including data catalog and data quality
• Proven ability for managing data quality and implementing data quality rules
• Excellent interpersonal skills to develop and maintain relationships with various internal and external stakeholders
• At least 3 years’ experience with SQL, Python, PowerShell, API or Python scripting, ETL tools and data management concepts for OTLP, OLAP and Data Culture
• At least 3 years’ experience with Power BI, Power Pivot, Microsoft Graph for Dashboards monitoring and reporting.
• At least 3 years’ experience with ServiceNow, Tableau, JIRA
• At least 3 years’ experience with Data Lake, Data Warehouse or Data Mart
• Office 365, Power Automation