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Data Analyst
Woodgrain Des Moines, IA
Full Time | Durable Manufacturing 6 Months Ago
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Woodgrain is Hiring a Data Analyst Near Des Moines, IA

Purpose

How does the position contribute to the success of the operation, division and company?

This position will partner directly with all Woodgrain divisions to optimize the data from multiple systems, leveraging our analytics platforms, to provide information in a manner which leads to faster business decisions which benefit the company’s goals. The primary responsibility is the creation and maintenance of reports and dashboards in the Woodgrain Business Intelligence Platforms. This position will help deliver new functionality as well as support existing functionality. This position will partner with the IT Functional Analysts and interface with the business users when discussing new or revised reporting or integration technology requirements including: Data Warehousing, Data Modeling, or Data Visualizations. This position will develop solutions in our existing Woodgrain analytics technologies, as well as research, pilot and test new technologies

Essential Duties, Responsibilities, Expectations and Performance Measures What measures or metrics will the individual be measured on and what level of performance is required?Other duties may be assigned.

This individual is responsible for:

  • Create and Maintain BI Reports (SAP Business Objects, SAP Analytics Cloud, Alteryx, SSRS, others)
  • Create and maintain Queries and SAP Universes for BI Reports
  • Provide support to our business partners as they have questions on reports or functionality
  • Constantly be improving owned services through customer feedback and self-measurement
  • Build positive relationships with customers and teams
  • Perform analysis, design, development, implementation, and support of Business Objects solutions and other enterprise BI reporting solutions to support business reporting needs, including queries, reports, dashboards, and other BI output
  • Configuration and development in the SAP Business Objects and SAP Analytics Cloud environment, including testing, implementation, problem solving, debugging, and data validation
  • Provide training to users of the Business Objects, Analytics Cloud, and other enterprise BI tools
  • Support the success of reporting for continued SAP implementations
  • Keep personal assignments organized and prioritized
  • Accurate and timely solution delivery through internal and coordinated functional analyst validations
  • Assist in support, migration, and retirement of legacy reporting systems

Knowledge/Skills/Education and Continuous Training

What skills/certification/education must the individual have/maintain/gain? Include any degrees, certifications, and licenses required.

  • Excellent communication, telephone & interpersonal skills, and strong verbal and written communication skills
  • Strong customer service abilities to interact with users with professionalism, composure, and empathy
  • The ability to analyze and understand business processes
  • Basic understanding or ability to learn business use of SAP modules (such as FI, SD, MM, PP, HR, etc.)
  • Experienced with SAP Business Objects (Web Intelligence), SAP Analysis for Office, Crystal Reports, Security, CMC, SAC
  • Experienced with Microsoft SSIS, SSRS, SSAS, subscription and job management and Data Stage Tools
  • Strong Microsoft Excel concepts and functionality utilization
  • Proficient with SQL scripting and query analysis
  • Excellent organizational and documentation skills
  • Strong analytical, troubleshooting, root cause analysis and problem-solving skills
  • Exceptional interpersonal skills and ability to work in a team environment
  • Must effectively collaborate with technical and non-technical individuals
  • Ability to work with groups of people in constructive discussion, brainstorming, and decision-making
  • Ability to learn independently, virtually, or in an office setting
  • Ability to learn new concepts independently while maintaining effective communications with other team members
  • Quality and results oriented with special attention to detail and task completion

Job Summary

JOB TYPE

Full Time

INDUSTRY

Durable Manufacturing

POST DATE

10/19/2022

EXPIRATION DATE

12/12/2022

WEBSITE

woodgrain.com

HEADQUARTERS

LENOIR, NC

SIZE

200 - 500

FOUNDED

1954

TYPE

Private

CEO

GREGORY HENDERSON

REVENUE

$50M - $200M

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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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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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