Jobs 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

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Job Description

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. 

To succeed in this role, you should have strong analytical skills and the ability to combine data from different sources. Data engineering skills also include familiarity with several programming languages and knowledge of learning machine methods.

If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities 

• Develop, test and maintain ETL/ELT pipelines and data infrastructure.
• Build and maintain data pipeline orchestration systems.
• Implement and support reporting and analytics infrastructure.
• Identify, design and implement improvements in automating processes, optimizing workflows, improving data availability and delivery and redesigning
• Analyze, organize & combine raw data from different sources conducting complex data analysis and reporting on results 
• Prepare data for prescriptive and predictive modeling, interpret trends and patterns, while evaluating business needs and objectives
• Collaborate with data analysts and other stakeholders on several projects

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 ​

Skills​​​

• Has strong Linux skills
• Has Working SQL knowledge and experience with relational databases (especially Postgres)
• Has knowledge of data modeling, orchestration tools (e.g airflow) and data warehouses
• Has experience with ETL/ELT data pipelines
• Have analytic skills associated with working on unstructured data
• Experience with GCP will be preferred