Data Analyst at Savannah Informatics

The Data Analyst at Savannah Informatics 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)