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Experis
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Data Analyst
Experis Minneapolis, MN
$55k-75k (estimate)
Other | Business Services 1 Month Ago
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Experis is Hiring a Data Analyst Near Minneapolis, MN

Job Description

Data Analyst Opportunity

  • Hybrid Schedule: 3 days in office.
  • Contract: 6 months with likelihood of extension up to 24 months.
  • W2
  • Rate: $55.30 an hour
  • Location: Charlotte, NC/Minneapolis, MN/Des Moines, IA

Job Description

  • Group's responsibility:

    This team's focus is on proprietary data, specifically customer transactions data to support user cases for marketing, risk management to identify customers who have certain types of transactions or activities with the company.

    This team is heavily reviewing customer transaction data and customer deposits.

    You would be working with the Product Owner who recently joined the team. The Product Owners role is to meet with the Scrum Team who work on the user cases, by leveraging the customer transactions.

    The Product Owners tasks is to use customer transactional data to support ongoing user cases. They are also getting something more foundational to have a deeper understanding of the analytics of the customer transaction data. In order to have an holistic understanding of how customers transactions are categorized. As well as, how the counter parties of the transactions are identified.

    This position is to assist the Product Owner the analytics of the customer transaction data, specifically for customer data categorization, and counter party categorization. In order to link those back to customer accounts, customer ID, and household ID's in our customer base.

If this is of interest to you apply today!

Job Summary

JOB TYPE

Other

INDUSTRY

Business Services

SALARY

$55k-75k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

05/30/2023

WEBSITE

experis.us

HEADQUARTERS

CIUDAD DE MEXICO, CIUDAD DE MEXICO

SIZE

3,000 - 7,500

FOUNDED

2011

CEO

MONICA GRISELDA FLORES BARRAGAN

REVENUE

$10M - $50M

INDUSTRY

Business Services

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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.

Quotes from people on Data Analyst job description and responsibilities

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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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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Step 3: View the best colleges and universities for Data Analyst.

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