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Open nowFirst seen 2 days ago

Entry Level Data Science Analyst (Remote)

Jobcertify91 open roles

Where
Phoenix, AZ, United States, Remote
Work mode
Remote
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Your applicationOpen nowEntry Level Data Science Analyst (Remote)Jobcertify · Phoenix, AZ, United States, Remote

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

The analyst will have a passion for problem solving, comfort with ambiguity and the ability to think conceptually, analytically and creatively. This position is a permanent remote home-based worker. Your home office does not need to be near an Optimere office, but it does need to be in the United States. This position is eligible for a monthly connectivity reimbursement to offset the costs of internet and phone expenses.

Key Responsibilities:

Collaborate with business users and analyze the data and report on all Roadside areas, including but not limited to contact center performance, digital self service, partner reporting, marketing channel effectiveness, customer experience, and Claims/Billing

Collect, analyze, and evaluate data to break down strategic problems, track project performance and important developments; Synthesize raw data into digestible and actionable information

Conduct in-depth data analyses using traditional and advanced statistical methods. Assess trends and provide data interpretation to identify important business issues.

Responsible for gathering and documenting business requirements in a way that effectively conveys the required functionality to stakeholders and Data Scientist/Business Intelligence team

Responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets

Designs and produces regular and ad-hoc analysis, reports, and dashboards to effectively communicate data driven insights to stakeholders.

Provide technical assistance and cross training to other team members

Provide training and assistance to users for generation of adhoc reports

Design and implement technology best practices, guidelines and repeatable processes

Translate business requirements and unstructured business issues into data analytic problems

Create best practices for testing/profiling of data to ensure proper operation and accuracy

Effectively communicate technical analyses and results to analytics leaders

Supervisory Responsibilities:

This job does not have supervisory duties.

Functional Skills:

Ability to manage multiple projects concurrently

Experience working with cross-functional teams and offshore team

Strong verbal & written communication skills

Strong collaboration & team skills

Strong analytical and problem-solving skills

Strong data driven decision making

Detail oriented

Self-motivated

Education and Experience:

Bachelor's degree in business, management information systems, computer programming or related field

Knowledge and experience (5-7 years experience) in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python

Proficient in statistics

Certificates, Licenses, Registrations:

None

Notes:

The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.

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