Best Software Development , IT Staffing and Immigration Service Provider in the US | H1B Dependent Employer
Data Analyst
Location
Gabon
Posted
75 days ago
Salary
0
Seniority
Senior
Job Description
Data Analyst
KGS Technology Group, Inc
• Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities
Job Requirements
- Proven working experience as a Data Analyst or Business Data Analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Benefits
- Employees can work remotely
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc) • Conduct deep dives into data trends and potential data irregularities using advanced analytics and statistical methods • Develop, validate, and maintain weighting methodologies, sampling techniques, outlier detection, and statistical modelling for new and existing products • Analyse historic trends and construct a mathematical model for forecasting • Identify business insights, trends and opportunities based of your analyses
• Working closely with product & marketing teams to ensure actionable insights are delivered in a feasible manner • Creating daily, weekly, monthly and yearly reports and insights for campaigns • Owner of the performance marketing data and is responsible to following campaigns of more than 20 mobile apps and 25 countries • Enable effective decision making by retrieving and aggregating large sets of data from multiple sources and compiling it into a simplified and actionable formats • Feeding the marketing and UA teams with detailed reports and insights • Building and maintaining reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data • Following the active campaigns constantly in detail for each campaign
• Maintain a strong understanding of data and task workflows across operational departments. • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership. • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings. • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed. • Coordinate ongoing EDI testing, implementations, and upgrades. • Troubleshoot and report operational errors, including file movement and SFTP connection issues. • Compare data files and reports against documented business requirements to ensure data quality and identify gaps. • Support continuous improvement of data workflows, documentation, and operational processes. • Perform additional duties as assigned by the Team Lead or DataOps Manager.
• Collect, prepare, and analyze data to support operational and strategic needs • Perform ad hoc data queries to address emerging questions • Validate datasets, reports, and dashboards to ensure accuracy, completeness, and alignment with PSI standards • Develop data visualizations • Collaborate with internal and external stakeholders to resolve data-related issues • Work with department representatives to define requirements, identify data sources, and design metrics tracking




