Job Description

Essential Duties:

• Lead a team of analysts through architecture, design, demand delivery, code reviews, release management, implementation, presentations, and meetings.
• Mentor fellow data analysts and contribute to ongoing process improvements for the team.
• Evaluate business needs and objectives and align architecture/designs with business requirements
• Work closely with project managers to prioritize business and information needs, including identifying critical metrics and KPIs, and delivering actionable insights to relevant decision-makers
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, revenue growth, operational efficiency, and other key business performance metrics.
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
• Translate business requirements, reporting needs and data use cases into analytical models and feature-rich visualizations that are easy to consume
• Conduct complex data analysis, interpret data, research business questions, identify trends, and analyze results using statistical techniques
• Evaluate data systems for efficiency, problems, and inaccuracies and highlight areas for process improvement and data cleansing
• Collaborate with other data professionals to source and combine data
• Collaborate with data engineering and data governance to help identify data reliability and quality issues.

Requirements:

• Bachelor\'s/Tech School degree in Mathematics, Computer Science, Economics, Statistics or equivalent and/or commensurate years of real-world experience in data analytics.
• 7+ years of relevant experience in data management.
• 5+ years in data analysis with hands-on delivery of business insights via BI platforms.
• 3+ years of experience with Cloud based DW such as Redshift, Snowflake, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy experience in data consumption and visualization design using design principles, patterns, and best practices strong knowledge of and experience with reporting packages (MicroStrategy, etc.), databases (SQL, etc.), programming (R, Python, or JavaScript/D3 frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, R, SPSS, SAS etc.)
• Technical expertise with data models, data mining, and segmentation techniques experience with performance analysis and optimization experience with relational SQL and NoSQL databases, including Postgres and CassandraExperience with analytics notebooks Experience with AWS cloud services: EC2, EMR, RDS, RedshiftData analytics certification is a plus MicroStrategy, SQL, AWS (S3, Athena, Redshift, Glue), R, Python, Spark, Scala, JavaScript, D3, Jupyter/Zeppelin, SAS, SPSS.

TRC Staffing is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

TRC Staffing Services