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Data Analyst
ELMA Electronic Lawrenceville, GA
$82k-107k (estimate)
Full Time | IT Outsourcing & Consulting 3 Months Ago
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ELMA Electronic is Hiring a Data Analyst Near Lawrenceville, GA

Elma Electronic Inc. is a global leader and industry innovator in advanced embedded computing solutions. Our products and integrated platforms are based on a set of modular building blocks such as, precision hardware components, rotary switches, and embedded computing boards.

As a global organization, we stay close to our customers and partners worldwide with sales, design, and manufacturing facilities across three continents.

Your Solution Partner.

We have an excellent opportunity for a Data Analyst to join our team in Lawrenceville, Georgia. Our ideal candidate will be responsible for developing and maintaining dashboards, metrics, and reports for Elma's KPIs. You will create daily weekly, and monthly metrics and reports that drive action with a focus on continuous improvement. You will work cross-functionally to ensure that metrics and reports are simple, easy to understand, and accurately measure attributes to drive positive change. You will conduct in-depth data analysis and interpret it to determine focus areas for improvement. You will also create metrics or reports to track performance on key projects (Measures of Effectiveness). This role reports to the VP of Operations and is accountable to the Operations leadership team, including site, supply chain, warehousing, logistics, planning, scheduling, and quality leaders. Additionally, you will support key projects and events.

Responsibilities:

  • Focus is on collection and analysis of data; turning data into meaningful information our company can use to improve and grow.
  • Use statistical and analytical techniques to find trends, interpret the data and study patterns that help influence business decisions and recommend changes in company operations.
  • Perform analysis that helps the company improve efficiency, understand customer requirements, and increase profits.
  • Work with all Operational functions to identify leading and lagging indicators of operational performance in manufacturing, fabrication, supply chain, warehousing, planning, and scheduling.
  • Develop and publish meaningful metrics and reports that will drive action towards business goals and objectives.
  • Produce and track key performance indicators.
  • Analyze data to determine key focus areas for driving continuous improvement; opportunity to lead or support key projects.
  • Developing and implementing data collection systems, databases, and other strategies to optimize statistical efficiency and quality.
  • Streamlining data collection processes for automating different business processes
  • Solving data related problems and coding issues
  • Collecting data, processing it using advance tools and summarizing it to tell a story.
  • Training end users on how to utilize the dashboards, metrics and reports effectively.
  • Facilitating strategic decision making within the business
  • Leads Lean projects, as required by the business (such as 5S, productive maintenance, visual controls, machine set-up projects)

Qualities:

  • Sound knowledge of Microsoft programs including excel, D365 and PowerBI is a must.
  • Experience with data analysis using Python, excel, sequel, tableau and other tools is required.
  • The ability to prepare business cases with a strong analytical and structured approach is a plus.
  • A thorough understanding of production business drivers, such as productivity, utilization, OEE, costing, etc. is a plus.
  • Ability to communicate effectively with operators and business leaders at all levels.
  • Flexible and adaptable to business change requirements
  • Some knowledge of Lean methodologies (5S, VSM, Flow, Takt time, line balancing amongst others) is a plus.
  • Project management skills and training are a plus.

Preferred Education/Certifications

  • Bachelor's or associate degree in computer science, engineering, applied mathematics or statistics with 3 years' work experience as a data analyst.
  • Knowledge of excel, PowerBI, D365, python, sequel, tableau, and other data analysis tools.
  • Certifications such as Certified Analytics Professional, Microsoft PowerBI Data Analyst Associate, SAS Statistical Business Analyst, CompTIA Data or Cloudera Data Analyst are a plus.

Elma Electronic Inc. offers a competitive compensation and benefits package.

Elma Electronic Inc. is proud of our diversity and equal employment opportunity practices. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

This is a full time position

ELMA Electronic Inc. is proud of our diversity and equal employment opportunity practices. We are an EEO employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$82k-107k (estimate)

POST DATE

02/10/2024

EXPIRATION DATE

05/11/2024

WEBSITE

elma.com

HEADQUARTERS

BANGALORE SOUTH, KARNATAKA

SIZE

200 - 500

FOUNDED

1960

CEO

SUNIL RATHNAKAR RAO

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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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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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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