Data Analyst at Savannah Informatics

The Data analyst role includes conducting full lifecycle analysis to include requirements, activities, and design. You will develop analysis and reporting capabilities plus also monitor performance and quality control plans to identify improvements. You will be responsible for helping deliver timely, accurate, and relevant information across all functions within the company. Your role will interact with the entire leadership team, and you'll have the opportunity to build a complete understanding of the entirety of a fast-growing startup while developing your technical skills and business acumen.

Responsibilities

• Analyzing data using statistical techniques to find trends and patterns in data
• Identifying, analyzing, and interpreting trends or patterns in complex data sets
• Develop informational summaries using analytical tools in order to inform business trends, patterns and end-users
• Training & onboarding end-users on analytical workflows relating to the reports
• Connect & interpret data from various sources efficiently for stakeholders
• Acquiring & Extracting raw data from a wide range of sources using ELT/ETL tools and consolidating into repositories
• Cleansing & standardizing data to remove inconsistencies, resolve missing values in the data, and formatting standardization applied to data sets
• Perform deduplication to ensure redundant data is excluded or discarded.
• Verification of data to ensure unusable data is removed, anomalies are flagged & rules applied to improve data quality.
• Sorting & maintaining data systems according to type.
• Working with the development teams to create conceptual data models and data flows. ● Evaluating existing data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.

Requirement

• Bachelor’s degree in a quantitative discipline (preferably in Social Science, Economics, or Statistics, Computer Science, Computer Engineering, Information Systems Technology, or a related field

Experience (good to have)

• Associate Certified Analytics Professional (aCAP)
• Certified Analytics Professional
• Cloudera Certified Associate (CCA) Data Analyst
• Microsoft Certified Data Analyst Associate
• SAS Certified Advanced Analytics Professional Using SAS 9
• Tableau Desktop Certified Professional
• Tableau Server Certified Professional