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Data Analyst
$86k-113k (estimate)
Full Time | Specialty Trade in Construction 3 Months Ago
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Gable Signs & Graphics Inc is Hiring a Data Analyst Near Baltimore, MD

Description

POSITION TITLE: Data Analyst

TEAM: Operations

REPORTS TO: Chief Operating Officer

FLSA Classification: Salary, Exempt 

OBJECTIVE

As a Data Analyst you are responsible for turning data into information, information into insight, and insight into decisions. You will utilize your technical expertise to evaluate, validate, clean, and transform raw data into actionable insights to improve overall business performance.

KEY RESPONSIBILITIES

  • Interpret internal data, analyze results using statistical techniques, and provide ongoing reports to support business decisions.
  • Develop, implement, and maintain databases and data collection systems optimized for efficiency and quality.
  • Extract data from primary and secondary sources, ensuring accuracy and integrity in databases and data systems.
  • Identify, analyze, and report on trends or patterns found in complex data sets.
  • Collaborate with various departments to prioritize business and information needs and find new data-driven approaches to solving problems.
  • Ensure data accuracy and integrity by cleaning data and correcting any issues.

Requirements

OTHER DUTIES

The duties and responsibilities of this position are not limited to those listed in this Job Description. This Job Description is subject to revision and will change over time. At times, this position may also perform other duties and responsibilities as assigned. Team members covered under this Job Description will be notified of any changes

QUALIFICATIONS

3 years’ experience in data analysis or similar discipline

Familiarity with data models, database design, data mining, and segmentation techniques

Proficiency with one or more reporting tools (Power BI, Tableau, Domo, etc.), databases (SQL), one or more programming languages (Python, R, Javascript, etc.) , and ETL frameworks

Experience with statistical packages (Excel, SPSS, SAS) for analyzing datasets

Strong analytical skills, attention to detail, and accuracy in data analysis

Effective at queries, report writing, and presenting findings

Bachelor’s degree in mathematics, economics, computer science, information management, statistics, or related field preferred

Familiarity with AI and machine learning concepts

ENVIRONMENTAL JOB REQUIREMENTS AND WORKING CONDITIONS

PHYSICAL REQUIREMENTS

The physical demands described here are representative of those needed to successfully perform the essential functions for this job. While performing the duties of this job, the team member is regularly required to talk or hear. The job involves sedentary work which includes sitting for extended periods of time, but may also involve walking or standing for brief periods of time. The team member is frequently required to use hands to type, handle, or feel and reach with hands and arms. The team member is occasionally required to stoop, kneel, and crouch. The team member may also be required to lift and/or move items.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. There may be periodic exposure to a factory environment and conditions such as fumes, dust, and mist.

TRAVEL

This position requires approximately 5% travel via all modes of transportation. Overnight travel with a duration of one week may be required.

ADDITIONAL REQUIREMENTS

All prospective team members must pass a criminal background check and drug test. Candidates must also meet the requirements for an I-9 and e-Verify.

SALARY

Salary is commensurate with education and experience.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Specialty Trade in Construction

SALARY

$86k-113k (estimate)

POST DATE

01/26/2024

EXPIRATION DATE

03/29/2024

WEBSITE

gablesigns.com

HEADQUARTERS

BALTIMORE, MD

SIZE

200 - 500

FOUNDED

1980

TYPE

Private

CEO

PAUL GABLE

REVENUE

$10M - $50M

INDUSTRY

Specialty Trade in Construction

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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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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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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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