Quantitative Data Analyst – Us Remote Jobs in New York

Step 2: Achieve Industry-Recognized Certifications

On-Site Data Analyst Position - $28k-$35k Per Annum

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EXCEL, NUMPY, PANDA, SCIPY, PowerBI, Python, R-PROGRAMMING, MySQL, Tableau ,

Step 1: Dive into Live Expert Training from Industry Leaders

Step 3: Start Your New Role as a Data Analyst

Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs.

Minimum 1 years of data or information management and/or data analysis experience.

Bachelor's Degree in business, business intelligence, data or information management, or similar.

Communicate with client leadership to assess data needs and emerging requirements

Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.

Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).

Experience/know-how of Apple products is mandatory

Remote work & location independence

Fluency in English is essential

You must be living in the US for a minimum of 1 year

Has any iOS device with the latest iOS version

Apple user - Your email address must be associated with an Apple ID

Manages and maintains system documentation related to system requirements, change requests, etc.

Responsible for the management of data dictionaries, data flow diagrams, etc. for all products and

Gathers, defines, and drives business requirements development

Ability to analyze quantitative and qualitative education data preferably utilizing SQL

Excellent organizational, oral presentation and written communication skills; including the ability to

Collaborates with system developers, clients, and user focus groups to ensure strong communication

Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs.

Minimum 1 years of data or information management and/or data analysis experience.

Bachelor's Degree in business, business intelligence, data or information management, or similar.

Communicate with client leadership to assess data needs and emerging requirements

Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.

Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).

Interacts regularly with management and department leaders.

Excellent written and oral communication skills

Fluency with Excel; VBA, database and other programming skills are a plus

1-3 years experience in Securitization at either: Sell side, Accounting or Rating Agencies

Able to influence peers and team.

Demonstrates good judgement when making decisions of high complexity and impact.

Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs.

Minimum 1 years of data or information management and/or data analysis experience.

Bachelor's Degree in business, business intelligence, data or information management, or similar.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Communicate with client leadership to assess data needs and emerging requirements

Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.

Experience with modern web development and D3.js. Knowledge of JS frameworks like Svelte, React or Vue is a plus.

Significant experience using data and statistics in journalism to create content across different platforms in a national or international newsroom

Experience commissioning, editing and developing data stories and working collaboratively with other journalists and departments

Experience synthesising and presenting complex information in an appealing and innovative way

Statistics and analysis experience: familiarity with quantitative methods in social science as well as data analysis languages like R or Pandas

Substantial experience with and training in access to information laws, including FOIA, in different jurisdictions

Advocate best practices standards for Clinical data management.

Thorough knowledge of clinical data formats and modelization (SDTM, CDISC, ADaM), combining Functional and technical skills (Medical Writing, SAS programming, SQL,...)

Global knowledge of the clinical documents workflow that support Drug submission and pharmacovigilance processes

Excellent verbal and written communication skills (Fluent English required)

Excellent problem solving and analytical skills, excels under pressure and is results-driven

Remote policy (2 days per month at the office required)

Seeking a skilled and motivated individual

Collaborating with cross-functional teams to understand data requirements, identifying opportunities for data acquisition and integration, and providing data-driven solutions.

Collaborating with the DevOps team to deploy and manage data-related systems and tools.

Proven experience as a Data Engineer or similar role, with a focus on SQL-based data engineering.

Strong proficiency in SQL and experience with relational databases like PostgreSQL, MySQL, or Oracle.

Experience with data pipeline orchestration tools like Apache Airflow, Luigi, or similar frameworks.

Advanced Excel, Powerpoint/Google Slides skills. Bonus points for experience with financial planning and dashboard software

An investment in your physical and mental well-being; we offer 100% employee Medical Benefits coverage, with 65% dependant coverage.

Directly manage customer billing and revenue reporting

Excellent attention to detail and organizational skills

Experience managing outsourced teams; accounting (including A/P and A/R) is outsourced, but you will be accountable for oversight.

Experience in a startup environment. Bonus points for experience in the early stage in SaaS and/or commerce

3-5 years of full-time work experience, or relevant internships, in data-driven working environments with experience or knowledge in:

You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)

Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity

Ability to engage with diverse team members; strong intercultural communication skills are a must

Conducting projects to accompany the transformation of your client's businesses through the effective collection, processing, and visualization of data

Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring

Experience using JIRA and Confluence for project and knowledge management

Self-motivated and self-directed, creative and flexible, with excellent time management and organizational skills

Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency

YOUR EDUCATION AND BACKGROUND EXPERIENCE WILL INCLUDE:

Monitor and manage data quality

2+ years of relevant experience with:

Experience using JIRA and Confluence for project and knowledge management

Self-motivated and self-directed, creative and flexible, with excellent time management and organizational skills

Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency

YOUR EDUCATION AND BACKGROUND EXPERIENCE WILL INCLUDE:

Monitor and manage data quality

2+ years of relevant experience with:

Implement processes aligned to data management standards, ensure data quality and requirements are embedded in/adhered to within system development deliverables.

Respect TD's technology delivery practices, standards, project management disciplines.

Ability to assume assignments that are moderate- to highly- complex and multi-faceted, to be performed under management guidance.

Design, implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.

Provide data analysis and requirements within enterprise platform (e.g. Hadoop).

Develop, maintain knowledge of data available from upstream sources and data within various platforms.