One stop solution to your remote job hunt!

By signing up you get access to highly customizable remote jobs newsletter, An app which helps you in your job hunt by providing you all the necessary tools.

OR
Subscribe to our highly customizable newsletter to get remote jobs from top remote job boards delivered to your inbox.
TalentRemedy almost 2 years ago
data🇺🇸usa only
Apply Now
< class="h1">Description

This is a remote position.

Position:          Data Analyst                                         Department:    Solutions – Operations

Reports To:     VP, Operations                                     Date:                November 2022

 

 

 

The Data Analyst is responsible for leveraging data and other resources to identify actionable trends and patterns that support business, technology and operations decision-making. Through a combination of deep domain expertise, expert product knowledge and strong data skills, the Data Analyst will turn data into information, information into insight, and insight into business decisions. The Data Analyst reports to VP, Operations. This is a full-time, exempt, remote position.

Specific Responsibilities:

§  Import, clean, transform, validate or model complex data sets from multiple sources in order to understand and answer business questions surrounding:

o   Data quality

o   Operational improvement opportunities

o   Strategic planning

o   Market insights

o   Customer-facing business queries

o   Usage metrics for organizational utilities

 

§  Identify root causes for problems related to adoption, usage, operations and quality, and identify improvements by pinpointing trends, correlations and patterns in complicated data sets.

§  Design and present data and conclusions in charts, graphs and tables. Maintain ongoing reports.

§  Develop and maintain data quality assurance measures and processes.

§  Build out and automate organization's internal and external reporting and analytics capabilities.

§  Recommend data migration approaches for product upgrades.

§  Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

§  Design and develop relational databases for collecting data; write Data Definition Language or Data Manipulation Language SQL commands.

 

 

< class="h3">Requirements

Skills:

§  Demonstrated self-starter and creative thinker who can handle a considerable amount of unstructured, real-world data and be comfortable thinking about solving problems using new and novel approaches.

§  Experience using one or more business intelligence software tools (Tableau, Cognos, Business Objects, etc.).

§  Knowledge of statistics and experience using statistical packages for analyzing large datasets (SPSS, SAS, Excel, etc.).

§  Knowledge of a querying language such as SQL and the ability to write code without depending on an intermediary, guided interface (drag and drop tool).

§  Ability to identify, analyze and interpret trends or patterns in complex data sets and present data in a way that is intuitive to technical as well as nontechnical users.

§  Excellent time management skills and the ability to prioritize a full plate.

§  Ability to work collaboratively and effectively across matrix organizations in a fast-paced, schedule-driven and entrepreneurial environment.

 

Experience:

§  Minimum of 4 years of hands-on experience in a Data Analyst role.

§  2+ years of performing data analysis in support of a product organization.

§  Healthcare experience preferred (payer or revenue cycle management).

 

Education:

§  Bachelor’s degree required; Mathematics, Economics, Computer Science, Information Management or Statistics disciplines preferred.

 

Certification Requirements:

§  None.

 

 

< class="h3">Benefits

This organization recognizes that its most important asset is its growing team of smart, creative, collaborative, forward-thinking and passionate professionals – and that a comprehensive employee benefits package is an important factor for them in choosing where to work. This organization offers competitive compensation along with an extensive benefits package for all full-time employees, including medical, dental and vision coverage, tuition assistance and a 401k. We offer full-time remote work to all staff from any location and maintain a physical office (with many amenities) in downtown Washington, DC.

 

 

< class="h1">Skills

Skills: Demonstrated self-starter and creative thinker who can handle a considerable amount of unstructured, real-world data and be comfortable thinking about solving problems using new and novel approaches. Ability to identify, analyze and interpret trends or patterns in complex data sets and present data in a way that is intuitive to technical as well as nontechnical users. Ability to use critical thinking skills to propose solutions and think strategically. Experience using one or more business intelligence software tools (Tableau, Cognos, Business Objects, etc.) Knowledge of statistics and experience using statistical packages for analyzing large datasets (SPSS, SAS, Excel, etc.) Knowledge of a querying language such as SQL and the ability to write code without depending on an intermediary, guided interface (drag and drop tool). Excellent written and verbal communication skills. Must be comfortable with speaking in front of a wide variety of technical and business stakeholder audiences. Basic understanding of software development and relational data models. Ability to work collaboratively and effectively across matrix organizations in a fast-paced, schedule-driven and entrepreneurial environment. Excellent time management skills and the ability to prioritize a full plate. Intermediate to advanced skills with Microsoft Office, Word, Excel, PowerPoint. Experience with Customer Relationship Management platforms such as Salesforce is preferred. Percent of Travel: None. Experience: · Minimum of four years of hands-on experience in a data analyst role. · 2+ years of performing data analysis in support of a product organization. · Healthcare experience preferred (provider data or network management). Education: Bachelor’s degree required; Mathematics, Economics, Computer Science, Information Management or Statistics disciplines preferred.