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Blue Cross Blue Shield of Michigan
Detroit, MI | Full Time
$70k-92k (estimate)
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Data Analyst 2
$70k-92k (estimate)
Full Time | Insurance 8 Months Ago
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Blue Cross Blue Shield of Michigan is Hiring a Data Analyst 2 Near Detroit, MI

Blue Cross Blue Shield of Michigan (BCBSM) has a Data Analyst 2 opportunity available within our IT Informatics - Strategy, Planning and Delivery group.

About the Role

The Data Analyst 2 (DA2) role works with different cloud technologies to support informatics projects with large sets of healthcare data. Additionally, the DA2 develops medium to highly complex logical database designs, logical data models and relational data definitions in support of corporate and customer information systems requirements. This role works closely with customers, vendors, business analysts and application development project teams to resolve information flow and content issues.

* If you are looking to work with a friendly, collaborative team, and the opportunity to learn and grow, this could be a great fit!

In this Data Analyst 2 opportunity, you will:

  • Support in the development of short- and long-term solutions of information architecture strategies.
  • Translates business requirements into conceptual, logical and physical data model.
  • Work with IT teams to ensure compliance. Perform regular audits of data.
  • Collaborate with data architects to design the common customer view of information. Support creation and implementation of detailed specifications for various IT projects / solutions. Manage the data dictionary. Document and maintain all data definitions, data sources, business meaning and usage of information. Participate in development of single source data strategy. Understand internal and external data sources for new data and better sources of data feeds. Validate opportunities to share/reuse existing data/information. Execute / support the production of regular reports and analysis on data.
  • Understand the framework for representing the data elements including the entities, relationships and attributes. Recognize and support resolution of conflicts between models to ensure that data models are consistent with the enterprise model (e.g., entity names, relationships and definitions).
  • Understand solutions and recommendations for improving data integrity issues. Analyze data issues and works with development teams for problem resolutions. Support identification of problematic areas and propose the best course of action to correct the data.
  • Follow data profiling and preventative procedures to improve data quality. Create data quality metrics for identifying data related issues. Collaborate with multiple teams to establish appropriate data access management.
  • Ensure technical documentation is developed and maintained.

EDUCATION AND/OR EXPERIENCE

  • Bachelor’s degree in related field preferred.
  • 3 years ’ IT work experience in data modeling, data analysis, relational DBMS design and support and relevant computing environments required.
  • Experience in Healthcare domain is highly preferred.
  • Expertise with data quality tools for data profiling, cleansing and standardization preferred.
  • Working SQL knowledge is required.

OTHER SKILLS AND ABILITIES

  • Understand logical database design principles.
  • Understand the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations.
  • Ability to work with mathematical concepts such as probability and statistical inference, and basic algebraic functions, and to apply them to practical situations.
  • Written and verbal communication skills; interpersonal skills.
  • Ability to establish and maintain effective working relationships with team members.
  • Ability to create, read, and interprets documents including process, procedure, and technical manuals.
  • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
  • Other related skills and/or abilities may be required to perform this job.
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Insurance

SALARY

$70k-92k (estimate)

POST DATE

09/03/2023

EXPIRATION DATE

05/02/2024

WEBSITE

bcbsm.com

HEADQUARTERS

GRAND RAPIDS, MI

SIZE

7,500 - 15,000

FOUNDED

1934

TYPE

NGO/NPO/NFP/Organization/Association

CEO

CARL SIEBERS

REVENUE

$3B - $5B

INDUSTRY

Insurance

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About Blue Cross Blue Shield of Michigan

BCBSM is a Michigan-based nonprofit insurance agency that provides health insurance products and services for individuals and businesses.

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The following is the career advancement route for Data Analyst 2 positions, which can be used as a reference in future career path planning. As a Data Analyst 2, it can be promoted into senior positions as a Data Analyst III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst 2. You can explore the career advancement for a Data Analyst 2 below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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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.

Career tips from people on Data Analyst jobs

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

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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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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