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Unum
Chattanooga, TN | Full Time
$73k-139k (estimate)
1 Month Ago
Astec Industries
Chattanooga, TN | Full Time
$67k-86k (estimate)
7 Days Ago
Center for Sports Medicine & Orthopaedics
Chattanooga, TN | Full Time
$80k-100k (estimate)
1 Week Ago
Astec Industries
Chattanooga, TN | Full Time
$67k-83k (estimate)
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U.S. Xpress Enterprises, Inc.
Chattanooga, TN | Full Time
$67k-88k (estimate)
6 Months Ago
Data Analyst
Unum Chattanooga, TN
$73k-139k (estimate)
Full Time | Insurance 1 Month Ago
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Unum is Hiring a Remote Data Analyst

Our Fortune 500 company is driving a digital transformation and looking for forward-thinking innovators to disrupt how our industry thinks about and uses technology. As one of the world's leading employee benefits providers, we help millions of people gain affordable access to benefits that help them protect their families, their finances and their futures.

Are you an asker of questions, a solver of problems, and a challenger of the status quo? Our mission is to provide a differentiated customer experience and exceed the expectations people have of technology at any company — not just insurers.

We are seeking individuals to join our team of talented IT professionals who share never-ending passion and an unwavering focus on our customer experience. Team members comfortable working in an agile, fast-paced, and delivery-focused environment thrive in our environment where we value an entrepreneurial spirit and those who challenge the status-quo.

Unum is changing, and we’re excited about what’s next. Join us.

General Summary:

Unum is looking for a skilled and motivated Data Analyst I to join our Acquisition Salesforce Operations team. As a Data Analyst I, you will be responsible for simple to moderately complex data profiling, analysis and mapping, working closely with Business Analysts, Senior Data Analysts, the business units, and Application development groups.
This will be a hybrid role based out of any of the following home office locations:
  • Chattanooga, TN
  • Portland, ME
  • Columbia, SC
  • Atlanta, GA

Job Specifications

  • Bachelors Degree preferred, and/or equivalent experience
  • Knowledge of SQL
  • 2 years experience with demonstrated success at the Associate level in Data Analysis or equivalent experience
  • Understanding of data profiling and analysis concepts, including data anomalies, data mapping activities
  • Understanding of data modeling concepts
  • Ability to manage multiple tasks by paying close attention to detail
  • Ability to work as part of a team and interact effectively with others
  • Ability to embrace change, adapt to the unexpected, and focus energies, people, and solutions on practical and positive results
  • Solid communications and problem solving skills
  • Collaborative team player

Principal Duties and Responsibilities

  • Conduct data profiling and analysis to evaluate data sources to determine the best source for business information.
  • Complete source to target data mapping specifications (e.g. source to target can be from one DBMS table to another DBMS table, from a DBMS table into a canonical message structure, etc.).
  • Design simple to moderately complex, flexible data models (conceptual and logical) through collaborations with analysts, engineers, and Physical DBA.
  • Create/Capture documentation (metadata) that is up-to-date.
  • Collaborate with the test engineers to perform data validation and testing activities as appropriate.
  • Develop and maintain knowledge of the insurance industry.
  • Develop and maintain knowledge of data stored in company databases.
  • Adhere to approved architectural standards.
  • Thinks with the mind of the end customer at all times, ensuring solutions seek to improve the customer experience and delight their customers.

#LI-LB22 #LI-Hybrid #LI-Multi

~IN1

Our company is built on helping individuals and families, and this starts with our employees. We want employees to maintain a positive balance, which is why we provide access to the benefits and resources they need to invest in themselves. From our onsite fitness facilities and generous paid time off to employee professional development programs, we are committed to helping employees live and work their best – both inside and outside the office.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$60,500.00-$117,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum

Job Summary

JOB TYPE

Full Time

INDUSTRY

Insurance

SALARY

$73k-139k (estimate)

POST DATE

03/17/2023

EXPIRATION DATE

12/23/2023

WEBSITE

unum.com

HEADQUARTERS

CHATTANOOGA, TN

SIZE

7,500 - 15,000

FOUNDED

1848

TYPE

Public

CEO

RICHARD P MCKENNEY

REVENUE

$10B - $50B

INDUSTRY

Insurance

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About Unum

Unum is a Tennessee-based insurance company that provides disability, life, accident, critical illness, dental and vision insurance products and services.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Data analysts typically work with existing data to solve defined business problems.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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