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4 Data Analyst Jobs in St Cloud, MN

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Jefferson Capital Systems, LLC
St Cloud, MN | Full Time
$94k-123k (estimate)
3 Months Ago
SkyWater Search Partners
St Cloud, MN | Full Time
$76k-92k (estimate)
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PCI Brand
St Cloud, MN | Full Time
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Telus International AI Data Solutions
St Cloud, MN | Part Time
$95k-124k (estimate)
2 Weeks Ago
Data Analyst
$94k-123k (estimate)
Full Time 3 Months Ago
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Jefferson Capital Systems, LLC is Hiring a Data Analyst Near St Cloud, MN

The Data Analyst role is pivotal in optimizing our operational processes and delivering valuable insights for critical business decisions. This position necessitates a holistic approach to evaluating business and operational impacts, incorporating creative problem-solving skills, and fostering a mindset of continuous improvement.
Job Summary
  • Extract, analyze, and derive insights from diverse internal and external data sources.
  • Process and refine production files from clients, vendors, and internal stakeholders, ensuring accuracy and completeness.
  • Generate reports and analyses, both scheduled and ad-hoc, to facilitate informed decision-making.
  • Develop and optimize queries to support various production processes, analytical tasks, and reporting requirements.
  • Identify and address application and process discrepancies, conducting root cause analyses and proposing effective solutions.
  • Apply contractual terms to portfolios, facilitating the creation of client reporting.
  • Offer actionable insights for operational enhancements.
RequirementsEducation & Experience:
  • College degree in field related to data analysis or computer science or equivalent related experience.
  • 1 - 3 years of related experience in an analytic position desired (not required).
Required Skills & Abilities
  • High level of skill in Excel; experience with SAS or SQL highly desired
  • Technical expertise in databases, querying techniques, and handling large datasets.
  • Understanding of fundamental accounting principles and business concepts.
  • Quick learner with the ability to grasp new business concepts, technical skills, and programming languages.
  • Strong analytical, problem-solving, and critical thinking abilities.
  • Effective communication skills, both written and verbal, with the capability to influence various stakeholders.
  • Able to work independently or collaboratively in a team setting.
  • Capacity to maintain productivity in a fast-paced, multitasking environment.
Salary: $50000 - $75000 per year
Job Posted by ApplicantPro

Job Summary

JOB TYPE

Full Time

SALARY

$94k-123k (estimate)

POST DATE

04/11/2024

EXPIRATION DATE

07/05/2024

WEBSITE

jeffersoncapitalinternational.com

HEADQUARTERS

SAINT CLOUD, MN

SIZE

200 - 500

FOUNDED

2002

TYPE

Private

CEO

DAVID BURTON

REVENUE

$5M - $10M

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About Jefferson Capital Systems, LLC

Jefferson Capital Systems is a financial service organization that specializes in purchasing and servicing consumer debt and bankruptcies.

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst 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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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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Step 3: View the best colleges and universities for Data Analyst.

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