Data Analyst____________Remote Jobs

Hi,
Please find attached . If you are interested please do share with me your updated resume or call me on "+1 3026017375".
Job Title:- DATA ANALYST
Work Location:- remote
Duration:- 3+month
Work Authorization:- Citizen, EAD-H4, GC, GC-EAD
Interview:- skype

General Job Summary:
Under minimal supervision, performs descriptive, exploratory, and diagnostic analyses on large
datasets. Interprets data and analyzes results; monitors quality of data by conducting ad hoc analysis; possesses pragmatic analysis and data exploration skills; builds metrics to measure performance; possesses excellent programming, debugging, testing and problem-solving skills.
Essential Functions
Analyzes large datasets, designs, and implements enterprise-class data visualization tools for new data projects.
Uses statistical analysis and various data analysis techniques to ensure data being ingested is usable by the downstream systems.
Writes complex SQL queries, stored procedures, views, and other database objects.
Explores large and complex datasets and identifies trends and patterns.
Utilizes latest data technologies and cloud platforms to deliver results.
Builds rich interactive visualizations, reports, presentations, and dashboards based on findings to showcase data quality issues to the management.
Works in tandem with tech leads, data architects and data engineers to design data pipelines and recommends ongoing optimization of, data ingestion, data quality, data storage and orchestration.
Identifies ways to improve data reliability and efficiency.
Develops automated test scripts to monitor and report on data quality issues; conducts root cause analyses in response to data issues and implements cost effective resolutions for data anomalies.
Collaborates with the IT Enterprise Architecture team to define data quality metrics and implements solutions and toolsets.
Actively participates in architecture design, and code review sessions with peers, solution architects, consultants, and vendors.
Follows agency's data classification policies and procedures and maintain compliance with established security standards and best practices.
Communicates statuses of all assigned tasks clearly and concisely to the project team, stakeholders, and management.
Works cooperatively with coworkers, product managers, customers, project managers and vendors.
Minimum Qualifications
Required Skill in:
Bachelor's degree in computer science, information technology, engineering, or closely related field and five years of experience in information technology in the areas of data engineering, business intelligence and analytics; OR an equivalent combination of education and experience.
Basic principles of computer science, database technologies and information systems.
Advanced principles, best practices, methods, and techniques used in data engineering, business intelligence, data management, data warehousing concepts, data mapping, data modeling, reporting, analytics, and data science.
Evaluating business requirements and developing information technology solutions.
Software development life cycle, source code version control systems, release management, change management, and ITIL processes (Incident and Change Management).
Quality Assurance techniques and automated testing practices.
Establishing and maintaining effective working relationships with peers, other department staff, management, vendors, outside agencies, community groups, external business partners and the public.
Effective oral and written communication and the ability to convey technical details to non-technical stakeholders, senior leadership, and executives both in written and verbal form
Working effectively under pressure, meeting tight deadlines, and adjusting to changing priorities.
Have a passion for data and possesses a strong analytical mind.
Relational database management systems and Big Data ecosystem.
Data pipelines and stream analytics.
Designing and implementing Business Intelligence/Analytics platforms using Azure services such as Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake to improve and speed up delivery of data services.
Relational Database Management Systems (RDBMS), Microsoft SQL Server, SQL Server Integration Services (SSIS), and other relevant technologies.
Message based integration using Kafka and/or Azure Event Hub.
Reporting using Power BI and storytelling.
Knowledge of statistics and experience using statistical packages like SPSS, for analyzing datasets.
Programming using Python, R etc.; scripting using PowerShell.
Kirti Rani
Associate Talent Acquisition -North America
Desk: +1 3026017375
[email protected]
In my absence please reach out to Mr. Harish Sharma at [email protected] & 3027216151